Introduction of Artificial Intelligence

In today’s world, technology is growing very fast, and we are getting in touch with different new technologies day by day.

Here, one of the booming technologies of computer science is Artificial Intelligence which is ready to create a new revolution in the world by making intelligent machines.The Artificial Intelligence is now all around us. It is currently working with a variety of subfields, ranging from general to specific, such as self-driving cars, playing chess, proving theorems, playing music, Painting, etc.

AI is one of the fascinating and universal fields of Computer science which has a great scope in future. AI holds a tendency to cause a machine to work as a human.


What is Artificial Intelligence?

Introduction to AI

Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines “man-made,” and intelligence defines “thinking power”, hence AI means “a man-made thinking power.”

So, we can define AI as:

“It is a branch of computer science by which we can create intelligent machines which can behave like a human, think like humans, and able to make decisions.”

Artificial Intelligence exists when a machine can have human based skills such as learning, reasoning, and solving problems

With Artificial Intelligence you do not need to preprogram a machine to do some work, despite that you can create a machine with programmed algorithms which can work with own intelligence, and that is the awesomeness of AI.

It is believed that AI is not a new technology, and some people says that as per Greek myth, there were Mechanical men in early days which can work and behave like humans.

Why Artificial Intelligence?

Before Learning about Artificial Intelligence, we should know that what is the importance of AI and why should we learn it. Following are some main reasons to learn about AI:

  • With the help of AI, you can create such software or devices which can solve real-world problems very easily and with accuracy such as health issues, marketing, traffic issues, etc.
  • With the help of AI, you can create your personal virtual Assistant, such as Cortana, Google Assistant, Siri, etc.
  • With the help of AI, you can build such Robots which can work in an environment where survival of humans can be at risk.
  • AI opens a path for other new technologies, new devices, and new Opportunities.

Goals of Artificial Intelligence

Following are the main goals of Artificial Intelligence:

  1. Replicate human intelligence
  2. Solve Knowledge-intensive tasks
  3. An intelligent connection of perception and action
  4. Building a machine which can perform tasks that requires human intelligence such as:
    • Proving a theorem
    • Playing chess
    • Plan some surgical operation
    • Driving a car in traffic
  5. Creating some system which can exhibit intelligent behavior, learn new things by itself, demonstrate, explain, and can advise to its user.

What Comprises to Artificial Intelligence?

Artificial Intelligence is not just a part of computer science even it’s so vast and requires lots of other factors which can contribute to it. To create the AI first we should know that how intelligence is composed, so the Intelligence is an intangible part of our brain which is a combination of Reasoning, learning, problem-solving perception, language understanding, etc.

To achieve the above factors for a machine or software Artificial Intelligence requires the following discipline:

  • Mathematics
  • Biology
  • Psychology
  • Sociology
  • Computer Science
  • Neurons Study
  • Statistics

Introduction to AI

Advantages of Artificial Intelligence

Following are some main advantages of Artificial Intelligence:

  • High Accuracy with less errors: AI machines or systems are prone to less errors and high accuracy as it takes decisions as per pre-experience or information.
  • High-Speed: AI systems can be of very high-speed and fast-decision making, because of that AI systems can beat a chess champion in the Chess game.
  • High reliability: AI machines are highly reliable and can perform the same action multiple times with high accuracy.
  • Useful for risky areas: AI machines can be helpful in situations such as defusing a bomb, exploring the ocean floor, where to employ a human can be risky.
  • Digital Assistant: AI can be very useful to provide digital assistant to the users such as AI technology is currently used by various E-commerce websites to show the products as per customer requirement.
  • Useful as a public utility: AI can be very useful for public utilities such as a self-driving car which can make our journey safer and hassle-free, facial recognition for security purpose, Natural language processing to communicate with the human in human-language, etc.

Disadvantages of Artificial Intelligence

Every technology has some disadvantages, and thesame goes for Artificial intelligence. Being so advantageous technology still, it has some disadvantages which we need to keep in our mind while creating an AI system. Following are the disadvantages of AI:

  • High Cost: The hardware and software requirement of AI is very costly as it requires lots of maintenance to meet current world requirements.
  • Can’t think out of the box: Even we are making smarter machines with AI, but still they cannot work out of the box, as the robot will only do that work for which they are trained, or programmed.
  • No feelings and emotions: AI machines can be an outstanding performer, but still it does not have the feeling so it cannot make any kind of emotional attachment with human, and may sometime be harmful for users if the proper care is not taken.
  • Increase dependency on machines: With the increment of technology, people are getting more dependent on devices and hence they are losing their mental capabilities.
  • No Original Creativity: As humans are so creative and can imagine some new ideas but still AI machines cannot beat this power of human intelligence and cannot be creative and imaginative.



Simpliv, the learning platform, is organizing the AI Summit India on 18th November at Taj, Vivanta, Bangalore. This two-day summit will be an ideal opportunity to explore critical areas of AI such as digital transformation, AI and deep learning, AI and cybercrime, AI as a tool for enforcing accountability, the various industries that could get impacted by AI, enterprise and process automation using AI, AI and costumer experience, AI’s role in messaging in the advertising, marketing and healthcare and other sectors, AI for the Cognitive Enterprise, and much more.



Simpliv, the learning platform, is organizing the AI Summit India on 18th November at Taj, Vivanta, Bangalore. This two-day summit will be an ideal opportunity to explore critical areas of AI such as digital transformation, AI and deep learning, AI and cybercrime, AI as a tool for enforcing accountability, the various industries that could get impacted by AI, enterprise and process automation using AI, AI and costumer experience, AI’s role in messaging in the advertising, marketing and healthcare and other sectors, AI for the Cognitive Enterprise, and much more.

This AI Summit will evaluate the nature and scale of changes that AI could bring about in various sectors such as retail, enterprise, consumer and commerce. It will scrutinize the opportunities and transformation that AI could bring about in development and digital platforms.

Simpliv will offer the opportunity for a vivid and thoughtful exchange of viewpoints among panel members, who will be a bright mix of:

  • Those who are pioneering path breaking innovations in the field of AI
  • Leading brands that are at the forefront of AI
  • Well-established leader
  • Tech evangelists
  • Unicorns, and
  • Keenly watched startups.

Visitors at the AI Summit will include AI managers, angel investors, decision makers, innovators, startups, designers, developers, Data Analysts, Managers and Scientists, and brand managers.

DAY 1 – Monday, 18th Nov 2019 Enroll Here:
  • Session 1 How AI can help with Digital Transformation
  • Session 2 AI and Deep Learning – The drivers of digital transformation.
  • Session 3 The future impact of AI on cybercrime
  • Session 4 AI as a means to powering transparency and accountability
  • Session 5 AI for the workplace
  • Session 6 AI for your business – Use of AI for different industries
  • Session 7 How to fulfill Enterprise AI
  • Session 8 Process Automation and AI
  • Session 9 Cognitive Enterprise – Cognitive Automation and Robotic Process Automation
DAY 2 – Tuesday, 19th Nov 2019  Enroll Here:
  • Session 10 AI integration and customer experience
  • Session 11 Use of AI in the retail and e-commerce industries
  • Session 12 Leveraging the voice driven world for business growth
  • Session 13 Chatbot effectiveness for better business
  • Session 14 Role of Digital Assistants in customer relationship management
  • Session 15 Improving marketing and advertising effectiveness through AI
  • Session 16 Revolution in healthcare through AI and Big Data.


This Summit By World Best Renowned Speakers:

Sameer Dhanrajani

Chief Strategy Officer At Fractal Analytics

Shibsankar Das

Data Scientist @WalmartLabs | 40 Under 40 Data Scientists 2019

Manu Chandra

Co-Founder And Chief Data Scientist At FN MathLogic Consulting Services Pvt Ltd

Sunil David

Regional Director – IoT At AT&T

Indranath Mukherjee

AVP, Head – Strategic Analytics At  AXA XL

Srini Rengarajan

Vice President And Global Head – AI And Data Science At 3i Infotech Ltd.

Mandar Mutalikdesai

Service Area Leader – Artificial Intelligence And Analytics At IBM

Vidhya Veeraraghavan

Associate Vice President – Analytics At Standard Chartered Global Business Services

Vishal Singhal

Co-Founder & AI Evangelist @CellStrat

Aswini Vyas

Director At Digtal Marketers India

Pradeepta Mishra

Director-AI @Lymbyc

Ram Dayal Goyal

Founder – RNS Labs

Balakumaran Jayapal

Deputy General Manager (Principal Architect) At Panasonic India Innovation Centre

Piyush Chowhan

Senior Vice President And Chief Information Officer At Arvind Lifestyle Brands Limited

Krithika Surianarayanan

Vice President At Standard Chartered Bank

Mridul Kabra

Director Of Digital Marketing At Neta App

Dr. Saurav Karmakar

Demo Session Chair At IEEE International Conference On Data Mining (ICDM 2019)

Sivesh Kumar

Founder & CEO StartUp Monk

Praveen Srivatsa

Director At Asthrasoft Consulting



Summit Date: NOVEMBER 18th – 19th, 2019

Place: Taj, Vivanta, MG Road, Yellappa Chetty Layout, Sivanchetti Gardens, Bangalore, Karnataka, 560001

AI Summit Price:

  Registration Fee +GST 18% Total Fee
Select 1 Day

NOVEMBER 18th 2019




Select 2 Day

NOVEMBER 19th, 2019




Select 1&2 Days

NOVEMBER 18th – 19th, 2019







Enroll Here:

10 Reasons why you should learn Artificial Intelligence


Artificial Intelligence has revolutionized the way people think, learn, and work in various fields, from finance to healthcare and mobile apps. What’s more interesting is that AI plays more role in our daily lives than we can imagine. From Siri and Ok Google to various virtual player games and social media apps, AI is everywhere. It sure is the most happening topic in every business right now. It is the most wanted and exciting career domain right now in the market. Let us know what Artificial Intelligence is.

What is Artificial Intelligence?

Artificial Intelligence ( ) uses intelligent machines built in a way that they react like humans. The primary process involved in making these smart machines is to carry out decision making, which analysis and uses data available in an enterprise. It is similar to the human mind absorbing and synthesizing information and providing with the required decision.

1. Artificial Intelligence in Healthcare industry:

We are now in a digital age where everything could be implemented with the help of technology and Internet. Nowadays we get to see that a doctor can monitor and diagnose a patient from a remote location. This has reduced the necessity of being in person. Image the same way where the patient’s health condition is checked against predefined medications and algorithms prescribing a solution to the doctor. This would be a great success in the entire Healthcare industry. The current healthcare industry is completely dependant on the doctor’s sole knowledge and no supporting decision-making system is available to advise the treatments or the medication. It is completely coming up from the Doctor’s experience and decision. Imagine a condition where all the patient vitals and health records are pre-analyzed and a personalized treatment plan is produced for the doctor to review will change the entire treatment process.

2. Artificial Intelligence in responding to your emails:

If you have been using Gmail’s latest mobile application then responding to your emails would have been really easy and also exciting. So based on your email content, a predefined answer are already pre-populated as tags for you while responding back to the email. The latest version of Gmail mobile application has drastically reduced the turnaround time in terms of responding an email back. So the mobile applications are evaluating the emails now and giving us appropriate suggestions while writing back to the sender. Well, the possibilities are limitless and more importantly endless. So we got to wait for the future and see how it is going to affect the human interventions. The above list is a general observation of how Artificial Intelligence is already taking up its baby steps and improving the current processes. Well, the limitations are endless and one needs to understand to what extent it can be helpful. Involving and rebuilding the process by implementing Artificial Intelligence and Machine learning will be definitely the future and it makes sense to build the skill in this arena. A lot of possibilities are available where the implementations are not specific to an industry but this can be generalized.

3. Artificial Intelligence In Mobile World:

The smartphone nowadays is not only considered as a communication device anymore it can be called as your digital wallet and much more than that, even we can classify them as your personal assistants. Well, speaking about personal assistants, it is worth mentioning about “Siri”. It is one of the best examples of proper utilization of Artificial Intelligence and Machine learning. So based on your habits and interests “Siri” will be able to answer all your questions and provide valuable suggestions. This is already happening and this is the start of next wave of technology utilization. We have seen days where mobile devices didn’t have touchscreens and now we are in a digital age where the majority of the devices are touch screens. The next age of mobiles will be working on the voice commands which is nothing but “Siri”. This change will be huge and it will completely change the way people are using their mobile phones at the moment.

4. Artificial Intelligence in Smart Home Devices:

Based on your preferences what if your home environment is changed from time to time. Wondering whether this is possible or not? Well, it is definitely possible. In past few years, we have seen a lot of smart devices coming up in the market which works in line with our preferences. So basically based on your preferred patterns, the lighting in the house and temperature of the refrigerator and other household devices can definitely be monitored and eventually project optimum utilization settings as well. All of this is happening because of underlying machine learning and Artificial Intelligence built into these devices.

5. Artificial Intelligence in Automobile Industry:

If you are updated with the latest technology happenings then you wouldn’t have missed this at all. The concept of self-driving cars and autopilot features are in the news lately and big players like “Google” and “Tesla” are already in this arena. Have you ever imagined that you will be traveling in a car which doesn’t need a driver to take you from point A to point B. Well, this is not at all a dream anymore, a lot of test runs have gone through were the concept cars going to hit the road soon. This is definitely going to be the future in the automobile industry. A lot more research and development needs to happen within this area as we have to consider the safety and security aspect of the passengers. Well, we have to just wait and watch what is going to happen.

6. Artificial Intelligence in Music and Movie Recommendation services:

Who doesn’t like watching movies and listening to music right?
What if your next song or movie is recommended to you by a system based on your interests and browsing history? This would be pretty cool right!!!
Well, they are already few mobile applications that understand your choice of music and movies and recommend the same genre as a suggestion. This has been a massive success in terms of sales and promotions of various brands because the target market is available for the brands. The ads that you have seen on your browsers are also based on your previous activities. All of your activities are analyzed and a chain of recommendations are provided. With the help of the recommendations, it will definitely help the individuals to explore new options.

7. Artificial Intelligence in Retail industry:

This is going to be a huge game changer for all the retail companies because if they understand the purchase pattern and the requirements of their customers, they will definitely have to tailor their process to be the market leader. The Artificial Intelligence concept comes into the picture when the buying patterns are analyzed and understands the needs of the customer. The retail industry can gain huge profits by properly analyzing the customer needs vs buying the pattern and based on the consumption if the system could suggest:
Relevant coupons
Promote discounted offerings
Targeted marketing
Stocking the warehouses etc.

All of these subprocesses with definitely be improved and to be honest it will help the customer a lot. As of now, we are going towards a clash where the businesses are legally obligated that they are invading an individual privacy by closely evaluating their buying pattern and the products that they buy. In certain parts of the world, Amazon has started an offer called “Pantry” where they can select few products as essentials and they are automatically delivered to you on a periodic basis. Well, this is a perfect example for introducing the Artificial Intelligence into the process where a better operational and stocking activities are carried out.

8. Artificial Intelligence in Security Surveillance:

Safety and security are the important aspects and the basic needs of an individual or for an organization. The surveillance setup, i.e. security cameras monitoring important areas of the business is definitely a better idea. But watching too many screens for a very long time will be a boring job and ultimately we lose the option of attending the emergencies when there is a need. So what if there are predefined algorithms that are fed into the security cameras and make them more powerful. Based on the surveillance and the activities the system would be able to analyze and let us know whether the situation is actually a threat or not.  If it is a threat then it would immediately alert the human security officials associated with the business. If this sort of technology advancements are available right now then it would have made a positive impact on the security of the individuals and operationally the situation will be handled more efficiently.

9. Artificial Intelligence in Fraud Detection:

The fraud detection activity monitoring systems are actually a boom to the human kind where their money is protected by evaluating the transactions that they make. Have you ever received an email or a text message from your bank confirming the recent transaction activity was actually made by you or was it someone else who got hold of your card. Well, most of this transaction monitoring is carried out by the fraud detection team which is powered by AI. The transaction patterns of the individual, the usual withdrawal amount from the ATM and the frequency of the account logins. All of this data is stored and analyzed for suspicious activity.  For example: if you have never used your ATM card for years and all of a sudden you have started withdrawing money from your card then this would be definitely flagged as a fraud alert by the system. So the AI algorithms are developed by considering different scenarios and situations which will ultimately alert the users to be cautious about their belongings. The same technique can be expanded and further used in other industries as well.

10. Artificial Intelligence in Online Customer Support

Nowadays every business has a website for sure because it has been a need vs a luxury. With the rapid use of smartphones and internet, it has been evident that most of the customers are tending to get information via online interactions rather than phone interactions. So most of the websites have an online chat system which responds to your queries. Do you think that a real human is responding back to your queries all the time? Well, not all the time. To make sure the business is live and active 24/7 days businesses are opting for automated bots which actually does the same job as of a human. The responses are based on the content available on the website and the same is fed back to the customer based on his or her request. Well, this process is gaining more and more acceptance and the underlying logic is also going through a makeover where it can accommodate more requests and provide more accurate information. All of this is happening because of the rapid development of Natural Language Processing (NLP).

Rising Opportunities

Indeed reports that the number of AI-related job opportunities outranked the number of searches for AI engineer jobs. With increasing opportunities and using Artificial Intelligence in each sphere of life, the learning of this technology is more beneficial than we all think.

Some Resources to learn Artificial Intelligence

Learn Artificial Intelligence for Beginners

Let WIX, Artificial Intelligence (ADI) Build Your Website

Learn the Basic Fundamentals of Artificial Intelligence (AI) in Softwar…





7 Reasons Why You Should Learn Cyber Security

In the present scenario, Cyber Security is becoming one of the finest options to begin your career with. The prime reason is the growing demand of the experts across the globe since last few years. It is one of the Information Technology domains which are becoming more and more challenging. Due to the rapidly increasing cyber attacks across the globe, organizations are looking for the experts who can help them in tackling the same. Another fact is cyber security is a challenging domain and needs a lot of expertise for the professionals in order to eliminate attacks that are unauthorized in nature. Well, these are not the only reason that why Cyber Security has come up with excellent scope in recent years. There are of course, several other reasons too. Here is the list of top 7 reasons why you should learn cyber security this year.

In the current scenario, Cyber Security jobs are one of the most in-demand jobs to begin your career with. The Cyber Security industry has seen potential growth in the last few years and has created promising employment opportunities. Due to rapid and frequent cyber attacks across the globe, business, organizations and governments are looking for Cyber Security professionals that can prevent cyber attacks and tackle the existing ones. As a matter of fact, the need for Cyber Security professionals has outpaced the number of applicants. This makes it a career worth considering. Whether you have ever considered a career in cyber security or not, we have collected some of the most compelling reasons to think about getting involved in cyber security. So, put away your preconceptions and take a look at our list below. Cyber security is a fascinating profession, one that will put you at the heart of the technology that powers our modern world. From emulating hackers and building more secure applications to playing digital Sherlock Holmes and reconstructing crimes, cybersecurity covers a whole range of rewarding roles.

Throw away all your preconceptions of what a job in cyber security is like and ignore the usual Hollywood stereotype. Instead, focus on these seven reasons why cyber security will make a brilliant career choice:

Here are the top 7 reasons why you should learn Cyber Security

1. Good Salary Packages

Who doesn’t want a good salary package? Almost everyone and getting a good salary doesn’t hurt.

When it comes to building a career in Cyber Security, experience and knowledge are a must, however, starting a career with a good salary package is also a dream of many.

Therefore, a simple rule of demand and supply has been applied here. The demand for Cyber Security professionals is increasing day by day while the supply is considerably less.

So, employers are ready to pay higher salaries to Cyber Security professionals. This yet another reason why you should go ahead and learn Cyber Security.

As a coin has two sides, the world is filled with two kinds of people. One who uses internet optimally and positively to make the world a better place in terms of technology.

On the other hand, there are those who want to harm others by taking undue advantage of the internet.

Thus, to prevent themselves from online and cyber attacks, businesses and governments are looking for experts who can protect their systems from cyber criminals and hire the best human resource, they are willing to pay more.

By being a skilled Cyber Security professional with high demand, you can also negotiate your salary with any employer.

An increased Cyber Security demand has proved to be profitable for a lot of aspirants who had or have an interest in cyberspace.

Since the gap between the demand and supply of Cyber Security professionals is high, it has led to a higher pay rate for Cyber Security professionals.

2. Skills that no one knows

Cyber Security is a domain that simply introduces you with the skills that no one else can easily acquire. It is because of this reason also any young minds are paying a lot of attention o building career in this domain.

* White hat cyber security experts are familiar with many concepts about the network and other security which are very interesting to know
* They can simply make sure that professionals work with full satisfaction and have someone new to work on each day
* The job of a cyber security expert is not much complex but there is a lot to learn about the core networking, network security and so on
* Many professionals have already grabbed some of the best paying jobs because of no other reason than the skills they have acquired with time
* Professionals can easily learn the working of a number of gadgets and is thus a useful domain for those who have interest in this.

3. High Demand for Cyber Security Experts

The use of the Internet has increased considerably over the past decade. From ordering food to shopping, everything has become online.

While on one hand, this technological revolution has proved to be a boon, on the other hand, the internet has become more vulnerable to cyber attacks.

This has indeed created an infinite need for Cyber Security to prevent the web from online fraud and crime.

With technological advancement in the internet space, Cyber Security has become one of the most lucrative career options today and the demand for Cyber Security professionals is increasing day by day.

The demand for Cyber Security professionals is so high that they are getting hired at 12 times the rate than the rest of the related jobs and this is why you should learn Cyber Security.

Adding to the facts, the global demand for Cyber Security professionals is expected to rise to 6 million by the end of 2019 and a shortage of 1.5 million Cyber Security is expected to be witnessed.

4. Cyber Security is an Evergreen Industry

Gone were the days when Cyber Security was not a big deal. Today, in this ever-evolving technology era, the internet has become a priority for a majority of people.

Internet helps them to take care of their daily needs whether personal or professional. However, hackers across the world are simultaneously using the internet to fulfil their needs but in an unethical manner.

As cyber attacks are getting more prevalent these days, a continuous need for Cyber Security experts is also increasing. As a result of this, the job profile of a Cyber Security professional has become more stable than before.

You might be thinking that it is difficult to learn Cyber Security & cope up with the updates and trends of Cyber Security.

But the point is that there is nothing much that has changed in the Cyber Security domain, hence, you can easily begin your career as a Cyber Security professional.

5. Unlimited Career Growth Options

Cyber Security is expanding its horizon through various industries. This makes sure that is a perfect platform for growth in terms of career as well as learning opportunities.

These days, cyber attacks are getting smarter and faster. This arises the need for Cyber Security professionals to outsmart the hackers at a much more faster pace.

Businesses and governments are dependent on them for analysing & minimizing risk along with combating cyber attacks and preventing all types of vulnerabilities.

Tackling the cyber attacks are an outcome of continuous study, comprehensive research & optimal execution.

This proves that when you learn Cyber Security, you will be continuously knowing new things and gaining rich experience which is an add-on to your skill set.

6. Opportunities to work with High Profile Agencies

One of the best things about being a Cyber Security professional is that your chances of working with some of the biggest companies at many top positions in the world increases.

There is no restriction on the number of the organization that you can work with.

The demand for Cyber Security professionals has considerably increased across the globe. Thus, geographical hindrance is automatically cleared.

It has to be noted that the potential does not end here, experts in Cyber Security might also get the chance to work with some of the top-notch secret government & intelligence agencies like NSA, CBI etc along with Central Intelligence Agency, Department of Defense & various banks.

Sounds cool, isn’t it!

7. Learn “White-Hat” Hacking

With the expansion of Digitalization, internet marketing has become the first preference for almost everyone.

While on the positive side, it has created profitable opportunities for advertisers and marketers while providing promising career opportunities to a lot of people.

On the negative front, there has been an increase in the number of cyber crimes and attacks.

During the tenure of your Cyber Security certification, you will also get a chance to learn “white-hat” hacking.

If you learn Cyber Security & hacking, you will not only help yourself in building the right skill set but will also initiate an elevation in your resume value. This will make you the most wanted candidate from the employer’s point of view.

Useful Resources to Learn Cyber Security:

Web Hacking Secrets: How to Hack Legally and Earn Thousands of Dollars at HackerOne

Learn Identity and Access Management, Become an IIQ Developer

Constructs of Information Security Management System

Keep Hacking and Making Money at HackerOne

Ethical Hacking – Most Advanced Level Course

Complete Ethical Hacking & Penetration Testing for Web Apps

Computer Forensics and Incident Response

Ethical Hacking e Pentest com Kali Linux, Nmap e Metasploit

Ethical Hacking: How Hackers Uses DigiSpark to Hack Any PC

That’s all about the top 7 reasons why you should learn Cyber Security. There might be other reasons too but these are the best ones to consider it. Presently many colleges and universities are there which offer best programs for those who want to be a cyber security expert in future. It’s not just flexibility in this domain that is helping learners to keep up the pace but there are many other reasons too.

15 Reasons Why You Need To Learn Data Science

Data Science has been hailed as the “sexiest job of 21st Century” by Harvard Business Review. But what makes Data Science so important? Why are Data Scientists some of the highly paid professionals? And most importantly, why learn Data Science? In this article, we will walk through some of the main reasons as to why Data Science has become the most sought after job in the market. We will understand the requirements of companies and why they need Data Scientists to boost their performance.

Data Science.png

The topmost IT employment of the moment is Data Scientist. Data science is a very sought after course to learn. Data science has created so much hype in the world of IT sectors that from big to small companies all are now hiring employees who have knowledge regarding this subject. Data science helps an employee to understand data and then synthesize it in a proper way so that they can communicate in a better way which is beneficial for the companies. Data analytic which is a part of data science is taking over the market very quickly. Employers are looking for employees who can work well with data. This makes job hunting easier.
Data scientists are very in demand in the job market. Learning data science will increase your chances of getting a better job.
Salary of data scientists is very good. Their salaries are generally in the six figures digit.
 There are many job titles that are there for a data science professional.
Learning data science does not mean that you will be a data scientist only. There is the option of being Data science manager as well. This post also has lucrative salary options.
Availability of work in any part of the world. Data science professionals can work from anywhere they want. Also, they are employed in various other industries other than IT industry like health care and marketing.
Big data analytics is a part of data science and it is everywhere dominating the job market.
There is a variety of data science undergraduate majors which is useful for the students. And there is the availability of many educational options.
Also, there is very less competition in this field since it is a comparatively new field of study so job opportunities are more.
Data science gives you options for freelancing options.
You can develop your revenue streams.

Reasons to Learn Data Science

There is a shortage of data scientist in the market but the market for them is increasing day by day. This is why learning data science has been very crucial now.  These are the top 15 reasons why you should learn data science.

1. The demand of Data scientists in the job market

Companies have realized that they should hire professionals who have the capacity to gather, interpret and use data in a comprehensive manner so that it is beneficial to the company. The demand for a data scientist is increasing day by day since there are very few professionals in this field. Learning data science gives you the opportunity of getting a very good job in this market where they are very much needed at this moment.

2. The salary of data science professionals is very good

Survives have been done which shows that the salary range of a data scientist in the USA is $ 104,000 to $ 153,750 per year. This salary range variation depends upon the category of a contribution they make to the company. The basic salary of a level one data science contributor is $ 97,000 and that of a level 3 data science contributor is $ 152,000. Apart from these, they also get an additional bonus that starts from $ 10,000 for the level 1 contributor and to a much higher range for the level 3 contributors.
Disclaimer – The above-mentioned salary figures are not the same everywhere as they vary with locations.

3. Data Science can make the World a Better Place

Big Data & Data Science is beyond being a tool of Business Intelligence. Various philanthropic and social organizations are using data to create products for social good. Also, various health-care organizations are using data for helping doctors to have better insights about their patient’s health.

In this section, we will go through various examples where companies are using data for social good. This will help you to develop inspiration to learn Data Science as a tool for enriching the lives of people.

4. Many types of job posts are available when you are good in data science

Studying Data science means that are a number of job options that are available for you. Big data analytics is a part of data science which has a very good market. There are many job titles which are offered by big companies like IBM, Oracle, Opera and many more if you are fluent in this particular field. Your job possibilities increase if you learn data science. These are some of the job posts available for a data science student.
  • Data analyst
  • Data engineer
  • Machine learning engineer
  • Data science generalist

5. An option of being a data science manager

Being a data science student can clear the option of being a data science manager. It has been seen that the salaries of data science managers are almost equal to or more than doctors. Data Science managers who are level 1 earn up to $ 140,000 per year. The level 2 professionals earn $ 190,000 annually whereas level 3 professionals earn $ 250, 00 per year. This amount is more than what a psychiatrist, an internal medicine doctor or a pediatrician earn.

6. Pick Your Job Title

As a data scientist, you won’t just be collecting data. You will be turning unstructured data into structured data, then analyzing it. This is different than what is required from those in traditional data and quantitative management positions.

Possible job titles for a data scientist include:

  • Data Engineer
  • Data Scientist
  • Data Analyst
  • Big Data Engineer
  • Data Architect
  • Business Intelligence Specialist

Some of those sound pretty cool, right?

7. You can work anywhere in the world.

If you become a data science professional then you can work in any part of the world. In the USA, almost 43% of the professionals work on the West coast while almost 28% of them are in the Northeast. These professionals are employed in every region of the country and also aboard. But it has been since that the highest form of salary in this field is in the west coast of USA.
Data scientists apart from working in the technology industry they also get employed in other important industries like healthcare, financial sectors, and marketing. They also impart their wisdom to various consulting firms, CPG industries and also retails.

8. An option of being a big data analytics

The need and use of data analytics in every job sector of industry are growing more and more. Using big data analyst in companies is as important as using computers in workplaces. For companies three things are most important that include brand advertising, customer management, and big data analytics. Every data science student has a great future in the industry since this need will keep on increasing that will increase job opportunities.

 9. Every Organization Needs One

There isn’t a sector that hasn’t been touched by big data and analytics. The demand for data scientists continues to grow because more markets are realizing the value they add to an organization.

Companies continue to use customer data to personalize experiences. The ability to recommend items based on previous purchases and customers’ needs is invaluable to today’s organizations.

10. Variety of Undergraduate majors and education options

Data science is a relatively new subject. This is one subject that has its origin from various other subjects that include statistics or mathematics, computer science and engineering and also natural science. It has been seen that many data scientists have their degree in social science, economics, medical science, and even business.
Also, learning data science does not mean that you have sat in a classroom all day. You can learn this online as well as your own convenient time.

11. The competition in this field is less

There is a shortage of data science professionals in every sector of the industry. Not only this, professionals who come other fields do not want to fill the shoe of a data scientist. It has been from many research studies that employers are in the hunt of finance and accounting employees who have the capability of mining and extracting data, good at data analysis and statistical modeling and also apt in identifying key data trends. But unfortunately, most of the finance and accounting employees do not possess these qualities since generally, people do not tend to learn data science. This is the reason why competition is less in this field making it easier to find a job provided that the salary of these types of jobs are usually pretty handsome.

12. Improve Your Problem-Solving Skills

In order to be a successful data scientist, you should have the desire to dig up a problem, find the questions at its center, and develop testable theories to solve it.

If you have an intense curiosity, chances are you’ll be successful in a career that is based on data science.

13. The option of freelancing opportunities.

In the future, it is quite obvious that a major quantity of workforce will not be tied to only one employer. It is a wise option to find different sources of income and ways of working so that they can have a perfect balance in life. If you are a data science enthusiast that means you will be well known about the trends, number, and data. This will help you in becoming a freelancer or consultant for many big firms. These kinds of jobs pay a good amount. Data science is mainly an IT based job that can be done from anywhere in the world as long as you have a computer in front of you.

14. The opportunity of developing new streams of revenue

When you are learning data science you will have the ability to analyze and use good data information to good use. Also, you will be able to identify unexploited and new streams of revenue generation. If you want to lead a lavish lifestyle by increasing your earning then this is the best way to do so. The competition is not very high right now so this is not an impossible work to do.

15. Job Security

Not only is it easy to get a job as a data scientist with the right skills now, but you won’t have to worry about getting a job in the future.

To choose to be a data scientist is choosing job security. The rise in big data and analytics isn’t going anywhere, and companies will continue to seek professionals who understand it.


Statistics and researches do not lie. It has been seen that data science learning is a growing trend now because this field now offers numerous amount of job positions if you are fluent in this field. Also, data science is a relatively new field in the industry so there is less competition. Less competition means an increase in demand for job facilities. A Job position in this field offers a good amount of salary as well. Learning Data science opens the door of job options in various fields like health care and finance as well. These are the advantages of data science learning.

we learn that Data Science has transformed our society. Data Science gives meaning to data. It converts crude data into meaningful products that can be used by industries to generate insights and recognize market trends. With a dearth in the supply of specialized Data Scientists and a rapid increase in demand, there is a huge income bubble that has made Data Science a lucrative career. Here we conclude that learning Data Science is the hour of need and we must be data-literate to take up jobs of the future. Check how to become a data scientist.

Hope this article helped you to find out the reasons to start learning Data Science. Still any doubt? Drop a comment to us.

9 Reasons Why You Should Keep Learning Machine Learning

Machine Learning is an application of Artificial Intelligence. It allows software applications to become accurate in predicting outcomes. Machine Learning focuses on the development of computer programs, and the primary aim is to allow computers to learn automatically without human intervention.

Google says “Machine Learning is the future,” and the future of Machine Learning is going to be very bright. As humans become more addicted to machines, we’re witnesses to a new revolution that’s taking over the world, and that is going to be the future of Machine Learning.

More online businesses are integrating machine learning into their operations, with the bigger and established ones trailblazing the revolution.

Machine learning has brought myriad opportunities and improved strategies to help business owners foster customer relationships and get more profit and conversions.

If you haven’t fully leveraged the power of machine learning in your business, let me give you five reasons why you should do so now.

1. Machine learning helps increase your efficiency.

Can you imagine buying from the grocery store without having to wait in line to pay for your goods?

If you can’t, then you’d better prepared because that is now a reality.

Amazon, for one, has applied machine learning to make grocery shopping ultra-efficient for your customers through computer vision, sensor fusion, and deep learning algorithms.

Using the Amazon Go app, customers only need to open it, scan the QR code when they enter, pick their items, and confidently walk out of the store.

Amazon Go detects the items they take out from the shelves, automatically adds them into their virtual carts, and charges the bill into their Amazon accounts when they leave.

Such is a classic example of how machine learning can increase the efficiency of your business operations and processes, and help your customers, too.

While you can use pre-built machine learning technologies, you can also master how to develop them yourself.

The concept may sound complicated, but through the right machine learning course, you can invest in building machine learning technologies that suit your specific business needs.

2. You can understand your customers better.

Since the launch of automation, businesses have embraced customer-centeredness.

If you want to maintain a competitive edge over other businesses, you need to know what your customers need and give it to them.

If you fail to do so, you can lose your potential customers to your competitors.

Here is where machine learning plays a critical role.

Machine learning can analyze and organize patterns, trends, and data about your customers’ demographic profiles, choices and preferences, behaviors, and others.

Machine learning can get these data from online tools and mechanisms that you use, such as emails collected from sign-ups.

Such ability by machine learning enables you to know and understand your customers more quickly.

For instance, for your advertising campaigns on Google Adsense or other channels to be effective, they should be deeply targeted according to the mentioned data.

The more accurately you can understand your customers and their needs and wants, the more sharply you can target your ads.

3. You can personalize your marketing campaigns.

When customers feel that your offers are accurately aligned with their preferences — or personalized — they are more likely to patronize your business.

The question now becomes, how do you personalize your campaigns and customer shopping experience?

The answer is by using machine learning to build them based on the data gathered and analyzed, just like Flybits does.

Flybits is a context-as-a-service product that helps businesses provide hyper-personalized digital content and experiences for your customers.

With its easy user interface, your digital marketers can easily and instantly access internal and external data through cloud synchronization.

Its real-time mobile analytics allow you to customize your content and campaigns for your customers according to their location, weather, and others.

What’s more, Flybits ensures your customers’ data are safe and kept confidential. Your customers retain full ownership over their data as well.

Personalized campaigns are influential in increasing your conversions and sales, and machine learning help you create them.

4. Machine learning recommends products to your customers.

In line with personalizing your campaigns, machine learning can recommend products similar to what you previously viewed, purchased, or added to your cart.

Amazon is one company that uses machine learning to recommend similar products.

Machine learning picks up on the features of the items you previously searched, viewed, or bought, and creates algorithms from those data.

Amazon then personalizes its recommendations to you by stating your name and showing similar items.

It can also recommend to you similar items that other customers viewed or bought.

Let’s say you clicked on some Omine grey loafer sneakers.

Machine learning notes the features of the shoes, such as color, size, and style, and then shows you what other customers also bought.

In this way, they leverage social proof and fear of missing out (FOMO) to entice you to consider buying what other customers also liked (besides widening your range of options).

That said, machine learning helps you improve your sales and conversions significantly.

5. Machine learning helps to detect fraud.

The convenience that online payment systems offer, especially through mobile applications, has attracted both customers and businesses to transact and purchase online.

However, transmitting money online has also attracted cybercriminals and given them opportunities to execute fraudulent attacks.

Some businesses have implemented different cybersecurity measures but find that they need more to stop fraud.

If you’re experiencing the same problem, there’s fortunate news for you. Machine learning can now help strengthen businesses’ fraud detection system.

For instance, PayPal uses machine-learning mechanisms to catch suspicious and shady transactions and separate them from legitimate ones.

Machine learning further assists you by inspecting specific attributes among your data and develop standards as the basis for examining each transaction.

Machine learning, therefore, helps prevent malicious transactions from taking place even before you can complete them.

6) Learning machine learning brings in better career opportunities

According to a Tractica Report, AI driven services were worth $1.9 billion in 2016 and are anticipated to rise to $2.7 billion by end of 2017 of which 23% of the revenue comes through machine learning technology.

A report from TMR mentions that MLaaS (Machine learning as a Service) is expected to grow from $1.07 billion in 2016 to $19.9 billion by end of 2025.

Machine learning is the shining star of the moment. With every industry looking to apply AI in their domain, studying machine learning opens world of opportunities to develop cutting edge machine learning applications in various verticals – such as cyber security, image recognition, medicine, or face recognition. With several machine learning companies on the verge of hiring skilled ML engineers, it is becoming the brain behind business intelligence. Netflix announced prize worth $1 million to the first individual who could enhance the accuracy of its recommendation ML algorithm by 10%. This is a clear evidence on how significant even a slight enhancement is in the accuracy of recommendation machine learning algorithms to improve the profitability of Netflix. Every customer- centric organization is looking to adopt machine learning technology and is the next big thing paving opportunities for IT professionals. Machine learning algorithms have become the darlings of business and consumers so if you want to put yourselves somewhere in the upper echelon of software engineers then this is the best time to learn ML.

7) Machine Learning Engineers earn a pretty penny

The cost of a top, world-class machine learning expert can be related to that of a top NFL quarterback prospect. According to, the average machine learning engineer salary is $142,000.An experienced machine learning engineer can earn up to $195, 752.

8)  Machine Learning Jobs on the rise

You need a special kind of person to build a hammer, but once you build it, you can give it to many people who will use it to build a house.”

The major hiring is happening in all top tech companies in search of those special kind of people (machine learning engineers) who can build a hammer (machine learning algorithms). The job market for machine learning engineers is not just hot but it’s sizzling.

According to the popular job portal Indeed, the number of open machine learning jobs have been steadily rising from 2014 to  the onset of 2016, from 60 job postings per million to more than 100. The number of job postings jumped up to 150 postings per million by end of 2016. Indeed job trends report also reveals that the number of machine learning engineer job postings outstrip the number of searches for machine learning jobs – 100 million searches vs. 150 job postings.

A recent survey on the Indian job market found that there is a requirements of 4000 machine learning engineers in Bengaluru alone.

Here is a snapshot of the total number of machine learning jobs in US for IT professionals as of November 13, 2017 –

Machine Learning Engineer Jobs Positions on – 12000+

9) Machine learning is linked directly to Data Science

Machine learning appears as a shadow of data science. Machine learning career endows you with two hats, one is for a machine learning engineer job and the other is for a data scientist job. Becoming competent in both the fields makes an individual a hot commodity to most of the employers. It means that you can analyse tons of data, extract value and glean insight from it, and later make use of that information to train a machine learning model to predict results. In many organizations, a machine learning engineer often partners with a data scientist for better synchronization of work products. Furthermore, data scientist has been voted the Sexiest Job of 21st Century so one can get started as a data scientist specializing in Machine Learning and become more desirable to employers.

If these reasons ring a bell then you might be interested to get your start in machine learning career right now.

Are you ready to learn machine learning and land your dream job at one of the top tech companies? Share your personal approach, knowledge, and strategy in the comments below. Everyone has a different take on machine learning, and we want to know your thoughts.

Future of Machine Learning

Machine Learning can be a competitive advantage to any company be it a top MNC or a startup as things that are currently being done manually will be done tomorrow by machines. Machine Learning revolution will stay with us for long and so will be the future of Machine Learning.

Resources to learn Machine Learning

Learn Artificial Intelligence for Beginners

Machine Learning In The Cloud With Azure Machine Learning

Machine Learning Python: Regression Modeling


Machine Learning with AWS

Machine Learning from scratch through Python

Machine Learning and Training Neural Network in MATLAB

Practical Deep Learning: Image Search Engine


Machine Learning and Data Science using Python for Beginners

Machine Learning using R and Python

Machine Learning Adv: Support Vector Machines (SVM) Python


We have studied the future and the algorithms of Machine Learning. Along with that, we have studied its application, which will help you deal with real life. Furthermore, if you have any queries, feel free to ask in the comments section.



7 Reasons Why You Should Keep Learning AWS

7 Reasons Why You Should Keep Learning AWS

Why should I learn AWS?

Cloud computing is taking the tech world by storm and so is the need to learn cloud computing. The only thing certain in IT today is that it’s never too late to cash in on the cloud. The demand curve for cloud skills will only grow at a rapid pace as cloud becomes critical to IT and businesses at large. According to Forbes, the spending on public cloud services is anticipated to grow at a compound annual growth rate of 19.4% from $70B in 2015 to more than $141B in 2019. AWS generated a revenue of $5.44 billion in first quarter of 2018, 49% increase year-on-year. With Fortune 500 companies and institutions like NASA, General Electrics, Netflix, IMDb, AirBnB, to name a few extensively using AWS cloud computing services- AWS is the leader in the cloud computing market growing at a breakneck pace.

Still not convinced if AWS is for you? This blog will give you the top 7 reasons to learn AWS and help you understand why should you pursue AWS careers.

Reasons to Learn AWS

1) AWS -Fastest Growing Public Cloud in the World

AWS was officially launched in 2006 and there were around 180,000 developers on the platform by 2007. By 2015, AWS revenue was $6Billion USD per annum and since then revenues have doubled and are growing at an exponential rate .AWS enjoys the advantage of 7 year head start before facing like-minded competition, and since then the team has never slowed down. AWS is continuously boosting its growth every quarter. AWS expanded by 42% in third quarter of 2017 which increased to 45% in fourth quarter and then  49% in first quarter of 2018. The fastest growing AWS products used by customers include data crunching tool Amazon EMR (Elastic MapReduce) growing at a compound annual growth rate of 24% , network monitoring offering Amazon CloudWatch growing at a compound annual growth rate of 23%, and serverless product AWS Lambda growing at a compound annual growth rate of 18%. Considering AWS’ huge lead, if the current trends continue, we are likely to witness remarkable acceleration in AWS growth in future.

Want to pass the AWS Solutions Architect – Associate Exam? Want to become Amazon Web Services Certified? Check Out this AWS Training!

2) Increased Enterprise Cloud Migration to AWS

It is not only small organizations migrating to the cloud, even commercial enterprises are migrating to the cloud at a rapid pace. According to a report from McKinsey’s Silicon Valley group, 77% companies were dependent on traditional IT infrastructure till 2015 but with large enterprise migrating to cloud-based infrastructure, the number is expected to drop down to 43% in 2018. Organizations migrating their services and applications to the cloud are confronted with multiple challenges and roadblocks. The cloud platforms like AWS, Azure, Google offer several automated features but migration is not one of them. This implies that organizations have to depend on customised, professional services from providers. There is an increasing demand for cloud professionals who can oversee migration projects in a secure and organised manner. This requires professionals to have in-depth knowledge of any chosen cloud platform like AWS. Becoming a certified AWS solutions architect will endow you with the entire process of shifting from an existing on-premise application to AWS cloud.

3) AWS Careers Pay Top Money

AWS Certified Solutions Architects -Associate professionals earn an average salary of $121,292, over $13,000 higher than the average salary of top 15 IT certified professionals. The salaries for AWS skills in premium areas like Austin, San Francisco, Washington, or Boston are 25% higher than usual. According to PayScale, non-architect related AWS cloud jobs garner comparatively lower pay checks over architect jobs. The best-paid positions that can help professionals make the most money from their cloud jobs is –

  • AWS Enterprise Cloud Architect –$138,051
  • AWS Senior Cloud Solutions Architect -$132,092

Top Paying AWS Skills According to

AWS Skill Salary
DynamoDB $141,813
Elastic MapReduce (EMR) $136,250
CloudFormation $132,308
Elastic Cache $125,625
CloudWatch $121,980
Lambda $121,481
Kinesis $121,429
Key Management Service $117,297
Elastic Beanstalk $114,219
Redshift $113,950

4) AWS Skills on the list of most in-demand skills since 2015

“The need for cloud and data specialists is unlikely to abate anytime soon, especially as the software platforms powering businesses become more powerful (and, in many ways, more complex). For tech professionals, learning any new cloud-related skills is a reliable way to advance their careers. On the employer side of the equation, companies should prepare to continue paying top dollar for specialists in increasingly ubiquitous technologies.”- said Dice President Bob Melk

Knowing which way the wind blows and then keeping up with the change in the same direction is the need of the hour. And as of today the wind seems to be blowing into AWS cloud. As Google trends indicate, organizations are heading for a serious skills shortage around AWS. Professionals yearning for a lucrative career should run in this direction. With more than 350,000 professionals required to fill cloud job roles there’s clearly a huge opportunity for people who can prove their skills. AWS skills are sitting high on the list of most in-demand skills for employers.

Use the search term “Cloud”  for a simple full-time jobs search today on and you will see that there are more than 70,000 results. Of these Amazon Web Services (AWS) skills are the most in-demand skills with 25,361 open jobs. 60% of the cloud computing job postings ask for skills related to Amazon Web Services.

According to a Indeed report, there has been a significant growth of 37% in the Australian job market for AWS professionals in the past year. The statistics reveal that the number of open AWS jobs is 6 to 12 times more than the number of job seekers. There are not sufficient people who know how work with AWS cloud services and jobs are going unfilled with salaries sky-rocketing for skilled and certified AWS professionals. It  is clearly evident that cloud computing skills and , specifically AWS cloud skills are and will continue to be in great demand over the years to come. AWS’s dominance as a public cloud platform is a major catalyst driving demand for AWS skills and certifications to higher levels in the coming years.

5. Flexibility & Scalability

Now that I have already mentioned scalability let’s discuss that first. Right from initiation Amazon’s focus has been on scalability. This flexibility meant businesses could easily scale up or down to meet the business needs. The same philosphy has been incorporated by AWS which greatly helps the users.This extremely flexible system is now the hallmark of AWS, and is one of the main reasons to choose AWS. Hence on demand scalability and flexibility find their place in the list of top 7 reasons to learn AWS and use it.

6. The AWS Certification is a goal that is achievable

Since AWS certification has been around in some form since 2013, many resources exist to help prospective exam takers to learn AWS. The best way to learn AWS  is often by taking some form of AWS Solutions Architect training. AWS Architect training comes in the form of live instructor-led training, virtual and digital training in addition to a plethora of books and forums that exist on the subject.

Oftentimes, the best AWS training is training that offers a combination of theory with a great deal of hands-on exposure to the core services on the platform. The wealth of information that exists as well as the overwhelming amount of sample questions and best practices available makes achieving your certification a real possibility.

7. AWS community

This opens up greater networking opportunities for certified candidates. AWS certified candidates gain access to the AWS certified LinkedIn community, receive invites to regional events and free practice exams to prepare for other certifications.

Amazon also provides you with official AWS certified logo usage and digital badges so you can display your credentials to the world.

In closing, AWS has become one of the fastest growing technology products in information technology. Companies are moving forward with AWS at astounding rates. Getting your AWS certification now will help you to gain the necessary knowledge and learn the tools needed to work within this new landscape of technology.


This brings us to the end of this blog on Top 7 reasons to learn AWS. To learn more about AWS you can refer our Amazon AWS Tutorial blog. We have also come up with a curriculum which covers exactly what you would need to crack the Solution Architect Exam! You can have a look at the course details for AWS Solution Architect training.

Resources to learn Popular programming AWS

Machine Learning with AWS

Complete AWS Big Data and Analytics Certification

COMPLETE – AWS Security Specialty Certification

Oracle Database on AWS: EC2 & RDS from Scratch

AWS Networking from Basics to Advanced: Learn practically in 5 hours

AWS Master Class: Databases In The Cloud With AWS RDS

DevOps Jenkins: CI/CD with Jenkins Pipeline, AWS Pipeline

Mastering Landscape Editing Using Lightroom

AWS Expert Classes (Covers Solution Architect Associate Course 2018)

AWS Certified Cloud Practitioner: 6 Full Practice tests

AWS Essentials for Certification & on-job

AWS Certified Advanced Networking – Specialty

AWS Certified Solutions Architect – Professional 2019

AWS Certified Developer – Associate 2019

AWS Certified Cloud Practitioner 2019

AWS Certified Cloud Practitioner CLF-C01 – Practice Exams – 2019

مسارات العمل في مجال تقنية المعلومات

Better Jobs

Finally, everyone in this world is learning one or the other for what purpose? Yes, obviously to get a wonderful and meaningful job to lead a peaceful life. Are you not ready to get hold of an innovative and powerful job in this amazing competitive world? If any of you waiting to enter the world of cloud industry, better go ahead with cloud computing course which can tremendously benefit you to reach the interview phase.

We are at the end of this blog! There are many courses and training session on AWS, either online or offline. Be sure that there is no end for learning and age is not a matter for enhancing the technical skills. AWS plays a major role in this competitive technology world and none of us are underestimated to keep away from learning such concepts.

Now you are aware of the top 7 reasons to learn AWS and now what are you waiting for? Just keep rocking with all your valuable skills to enter the AWS world.