Cisco CCNA Wireless (640-722 IUWNE): The Complete Course

Welcome to Cisco’s CCNA Wireless course for the (640-722) IUWNE certification!

This course is over 12+ hours in length and will cover all the needed subjects to be successful in helping to prepare and pass the CCNA Wireless exam.

This course packs a punch! Not only will the student acquire the knowledge needed for Cisco’s certification exam; but what is learned herein will be transferable to the real world for a small and/or Enterprise environment.

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Students will get an in-depth understanding of networking, using wireless routers along with switches and their various configurations and connections. Students will learn about different types of wireless topologies, wireless RF fundamentals, wireless standards and an introduction to wireless security.

This course will also prepare the student in Layer 2 technology and its various configurations, such as; VLAN’s, Inter-VLAN communication & Trunking.

Students will also acquire the basic understanding needed to secure their wireless networks using the following techniques and protocols; PSK. 802.1x, WPA/WPA2 with EAP-TLS, EAP-FAST, PEAP and LEAP.

Student will learn how to install the Cisco Unified Wireless Network (CUWN), how to setup the WLC management, manage stand-alone AP’s, and be able to troubleshoot, maintain wireless networks.

This is a full comprehensive course that will take you from A-Z in your quest to acquire the Cisco Wireless Certification!

Cisco CNNA

Who is the Target Audience?

  • The Cisco CCNA Wireless course is for students who want to pass the CCNA Wireless Certification and have already obtained the Cisco CCENT or CCNA exams. If you are working in the IT industry and want to learn about wireless networks this course will be a great foundation to start implementing wireless in your network.
  • This Cisco CCNA Wireless course could also be for individuals that have some networking background and simply want to learn about wireless networks, specially Cisco wireless networks.
Basic knowledge
  • Students taking this course should have a working understanding of basic networking.
  • Students need to have a positive mind-set, because this course has a lot of acronyms and terminology that students need to commit to memory.
  • Students need to know that they will need to visit this course several times before scheduling their CCNA Wireless (650-722) certification exam.
  • Students should know that the options to pause, fast-forward and rewind will be extremely useful in this course.
  • In order to be eligible to take Cisco’s CCNA Wireless (640-722) certification exam, the student must already have either the CCENT (or ICND1), or the CCNA (or a higher Cisco certification). Cisco will not allow anyone to take or schedule the CCNA Wireless (640-722) certification exam unless the student has shown that they have passed at least one of the certifications mentioned herein.

Cisco CNNA RS

What you will learn
  • Students will get an in-depth understanding of networking, using wireless routers along with switches and their various configurations and connections.
  • Students will learn about different types of wireless topologies, wireless RF fundamentals, wireless standards and an introduction to wireless security.
  • This course will also prepare the student in Layer 2 technology and its various configurations, such as; VLAN’s, Inter-VLAN communication & Trunking.
  • Students will also acquire the basic understanding needed to secure their wireless networks using the following techniques and protocols; PSK. 802.1x, WPA/WPA2 with EAP-TLS, EAP-FAST, PEAP and LEAP.
  • Students will learn how to install the Cisco Unified Wireless Network (CUWN), how to setup the WLC management, manage stand alone AP’s, and be able to troubleshoot, maintain wireless networks.

To Know More:

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Hadoop & Data Science NLP (All in One Course)

The demand for Big Data Hadoop Developers, Architects, Data Scientists, Machine Learning Engineers is increasing day by day and one of the main reason is that companies are more keen these days to get more accurate predictions & forecasting result using data. They want to make sense of data and wants to provide 360 view of customers thereby providing better customer experience.

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This course is designed in such a way that you will get an understanding of best of both worlds i.e. both Hadoop as well as Data Science. You will not only be able to perform Hadoop related operations to gather data from the source directly but also they can perform Data Science specific tasks and build model on the data collected. Also, you will be able to do transformations using Hadoop Ecosystem tools. So in a nutshell, this course will help the students to learn both Hadoop and Data Science Natural Language Processing in one course. 

Companies like Google, Amazon, Facebook, Ebay, LinkedIn, Twitter, and Yahoo! are using Hadoop on a larger scale these days and more and more companies have already started adopting these digital technologies. If we talk about Text Analytics, there are several applications of Text Analytics (given below) and hence companies prefer to have both of these skillset in the professionals.

  • One of the application of text classification is a faster emergency response system can be developed by classifying panic conversation on social media
  • Another application is automating the classification of users into cohorts so that marketers can monitor and classify users based on how they are talking about products, services or brands online
  • Content or product tagging using categories as a way to improve browsing experience or to identify related content on the website. Platforms such as news agencies, directories, E-commerce, blogs, content curators, and likes can use automated technologies to classify and tag content and products

Companies these days are leaning towards candidates who are equipped with best of both worlds and this course will proved to be a very good starting point. This course covers complete pipeline of modern day ELT (Extract, Load and Transform) and Analytics as shown below:

Get data from Source –> Load data into Structured/Semi Structured/Unstructured form –> Perform Transformations –> Pre-process the Data further –> Build the Data Science Model –> Visualize the Results

Big data

Learn and get started with the popular Hadoop Ecosystem technologies as well one the most of the most hot topics in Data Science called Natural Language Processing. In this course you will :

  • Do Hadoop Installation using Hortonworks Sandbox. You will also get an opportunity to do some hands-on with Hadoop operations as well as Hadoop Management Service called Amabri on your computer
  • Perform HDFS operations to work with continuous stream of data
  • Install SSH and File Transfer related tools which helps in operational activities of Hadoop
  • Perform NIFI installation and develop complete workflow on Web UI to move the data from source to destination. Also, perform transformations on this data using NIFI processors
  • Spin up Apache Solr which allows full text search and also to receive text for performing Real Time Text Analysis
  • Engage Banana Dashboard to visualize Real Time Analytics on streaming data
  • Store the Real Time streaming JSON data in structured form using Hive Tables as well as in flat file format in HDFS
  • Visualize the data in the form of Charts, Histograms using Apache Zappelin
  • Learn the Building blocks of Natural Language Processing to develop Text Analytics Skills
  • Unleash the Machine Learning capabilities using Data Science Natural Language Processing and build a Machine Learning Model to classify Text Data

Who this course is for:

  • Anyone who wants to learn both Hadoop and Data Science from scratch
  • Developers, Programmers or Database Administrators who want to transition to Hadoop and Hadoop Ecosystem tools like HDFS, Hive, Solr, NIFI, Banana and also wants to explore Data Science
  • Aspiring Data Scientists, Data Analysts, Business Analysts who want to learn Natural Language Processing as an added arsenal as well as wants to learn Hadoop as well
  • Product , Program or Project Managers who wants to understand the complete architecture as well as understand how Hadoop and Data Science can be integrated together
  • Enterprise Architects, Solution Architects who wants to learn about Hadoop Ecosystem and related technologies to design Big Data related solutions
Basic knowledge
  • Basic Python Programming
  • A computer with at least 8 GB of RAM
What you will learn
  • You will be able to develop a real world an end to end application which will encompass both Hadoop as well as Natural Language Processing (Data Science)
  • Setup a Hadoop Cluster on your laptop free of cost and then connect to different hadoop services
  • Develop distributed applications based on Hadoop Framework, Different Hadoop pillars, HDFS Architecture, MapReduce and different types of Data in Hadoop
  • Visualize Hadoop ecosystem services as well as components like Memory usage, Cluster Load etc. in the form of dashboard on a Web Interface called Ambari
  • Design and Develop scalable, fault tolerant and flexible applications which can store and distribute large data sets across inexpensive servers
  • Develop scripts based on several commands in Hadoop to manage files and datasets
  • Understand the different building blocks of Apache NIFI helping in data movement, transformation etc. Also learn about NIFI Architecture and its various applications
  • Steps to Install Apache NIFI and making changes in configuration files to run it seamlessly
  • Develop a complete workflow application in NIFI which can take data from the streaming source, perform transformations on this data and then store it in Hadoop
  • Spin up Apache Solr as one of the service, configure it to receive streaming data from NIFI processor to perform real time analytics on this data
  • Understand the architecture and concepts related to Apache Solr as well as several of its features
  • Create a Banana Dashboard to visualize the real time analytics happening on live streaming data after getting an understanding of components and structure of Banana Dashboard
  • Visualize where does Hive fit in Hadoop Ecosystem, its Architecture as well as how exactly it works
  • Develop an understanding of how data can be stored in structured form in Apache Hive. In depth knowledge of several of its components
  • Develop and Visualize the data in the form of Graphs, Histograms, Pie Charts etc. using another Hadoop Ecosystem tool (notebook) called Apache Zappelin
  • Develop the concepts of Natural Language Processing and integrate them all to develop a working NLP application
  • Develop basic building blocks of Natural Language Processing and write associated python scripts
  • Build a machine learning model using Python for the application going to be built

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Spring Framework Interview Guide – 200+ Questions & Answers

Spring Framework is the most popular Java Framework ever. It continues to evolve with changing architectures. Spring Boot is one of the most popular Spring projects. Spring Boot is the most used Java framework to develop RESTful Services and Microservices.

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Preparing for Spring Interview is tricky. There are wide variety of Spring Modules and Spring Projects you would need to recollect and be prepared to answer questions on.You would need to get a good understanding of the new features of Spring and have firm grasp of the concepts you implemented in your projects.

This course helps you prepare for Spring Interview with code examples covering 200+ Spring Interview Questions and Answers on Spring, Spring Boot, Spring MVC, Spring JDBC, JPA, AOP, RESTful Services and SOAP Web Services.

List of questions discussed about each topic is listed below.

Spring

  • What is Loose Coupling?
  • What is a Dependency?
  • What is IOC (Inversion of Control)?
  • What is Dependency Injection?
  • Can you give few examples of Dependency Injection?
  • What is Auto Wiring?
  • What are the important roles of an IOC Container?
  • What are Bean Factory and Application Context?
  • Can you compare Bean Factory with Application Context?
  • How do you create an application context with Spring?
  • How does Spring know where to search for Components or Beans?
  • What is a Component Scan?
  • How do you define a component scan in XML and Java Configurations?
  • How is it done with Spring Boot?
  • What does @Component signify?
  • What does @Autowired signify?
  • What’s the difference Between @Controller, @Component, @Repository, and @Service Annotations in Spring?
  • What is the default scope of a bean?
  • Are Spring beans thread safe?
  • What are the other scopes available?
  • How is Spring’s singleton bean different from Gang of Four Singleton Pattern?
  • What are the different types of dependency injections?
  • What is setter injection?
  • What is constructor injection?
  • How do you choose between setter and constructor injections?
  • What are the different options available to create Application Contexts for Spring?
  • What is the difference between XML and Java Configurations for Spring?
  • How do you choose between XML and Java Configurations for Spring?
  • How does Spring do Autowiring?
  • What are the different kinds of matching used by Spring for Autowiring?
  • How do you debug problems with Spring Framework?
  • How do you solve NoUniqueBeanDefinitionException?
  • How do you solve NoSuchBeanDefinitionException?
  • What is @Primary?
  • What is @Qualifier?
  • What is CDI (Contexts and Dependency Injection)?
  • Does Spring Support CDI?
  • Would you recommed to use CDI or Spring Annotations?
  • What are the major features in different versions of Spring?
  • What are new features in Spring Framework 4.0?
  • What are new features in Spring Framework 5.0?
  • What are important Spring Modules?
  • What are important Spring Projects?
  • What is the simplest way of ensuring that we are using single version of all Spring related dependencies?
  • Name some of the design patterns used in Spring Framework?
  • What do you think about Spring Framework?
  • Why is Spring Popular?
  • Can you give a big picture of the Spring Framework?

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Spring MVC

  • What is Model 1 architecture?
  • What is Model 2 architecture?
  • What is Model 2 Front Controller architecture?
  • Can you show an example controller method in Spring MVC?
  • Can you explain a simple flow in Spring MVC?
  • What is a ViewResolver?
  • What is Model?
  • What is ModelAndView?
  • What is a RequestMapping?
  • What is Dispatcher Servlet?
  • How do you set up Dispatcher Servlet?
  • What is a form backing object?
  • How is validation done using Spring MVC?
  • What is BindingResult?
  • How do you map validation results to your view?
  • What are Spring Form Tags?
  • What is a Path Variable?
  • What is a Model Attribute?
  • What is a Session Attribute?
  • What is a init binder?
  • How do you set default date format with Spring?
  • Why is Spring MVC so popular?

Spring Boot

  • What is Spring Boot?
  • What are the important Goals of Spring Boot?
  • What are the important Features of Spring Boot?
  • Compare Spring Boot vs Spring?
  • Compare Spring Boot vs Spring MVC?
  • What is the importance of @SpringBootApplication?
  • What is Auto Configuration?
  • How can we find more information about Auto Configuration?
  • What is an embedded server? Why is it important?
  • What is the default embedded server with Spring Boot?
  • What are the other embedded servers supported by Spring Boot?
  • What are Starter Projects?
  • Can you give examples of important starter projects?
  • What is Starter Parent?
  • What are the different things that are defined in Starter Parent?
  • How does Spring Boot enforce common dependency management for all its Starter projects?
  • What is Spring Initializr?
  • What is application.properties?
  • What are some of the important things that can customized in application.properties?
  • How do you externalize configuration using Spring Boot?
  • How can you add custom application properties using Spring Boot?
  • What is @ConfigurationProperties?
  • What is a profile?
  • How do you define beans for a specific profile?
  • How do you create application configuration for a specific profile?
  • How do you have different configuration for different environments?
  • What is Spring Boot Actuator?
  • How do you monitor web services using Spring Boot Actuator?
  • How do you find more information about your application envrionment using Spring Boot?
  • What is a CommandLineRunner?

Database Connectivity – JDBC, Spring JDBC & JPA

  • What is Spring JDBC? How is different from JDBC?
  • What is a JdbcTemplate?
  • What is a RowMapper?
  • What is JPA?
  • What is Hibernate?
  • How do you define an entity in JPA?
  • What is an Entity Manager?
  • What is a Persistence Context?
  • How do you map relationships in JPA?
  • What are the different types of relationships in JPA?
  • How do you define One to One Mapping in JPA?
  • How do you define One to Many Mapping in JPA?
  • How do you define Many to Many Mapping in JPA?
  • How do you define a datasource in a Spring Context?
  • What is the use of persistence.xml
  • How do you configure Entity Manager Factory and Transaction Manager?
  • How do you define transaction management for Spring – Hibernate integration?

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Spring Data

  • What is Spring Data?
  • What is the need for Spring Data?
  • What is Spring Data JPA?
  • What is a CrudRepository?
  • What is a PagingAndSortingRepository?

Unit Testing

  • How does Spring Framework Make Unit Testing Easy?
  • What is Mockito?
  • What is your favorite mocking framework?
  • How do you do mock data with Mockito?
  • What are the different mocking annotations that you worked with?
  • What is MockMvc?
  • What is @WebMvcTest?
  • What is @MockBean?
  • How do you write a unit test with MockMVC?
  • What is JSONAssert?
  • How do you write an integration test with Spring Boot?
  • What is @SpringBootTest?
  • What is @LocalServerPort?
  • What is TestRestTemplate?

AOP

  • What are cross cutting concerns?
  • How do you implement cross cutting concerns in a web application?
  • If you would want to log every request to a web application, what are the options you can think of?
  • If you would want to track performance of every request, what options can you think of?
  • What is an Aspect and Pointcut in AOP?
  • What are the different types of AOP advices?
  • What is weaving?
  • Compare Spring AOP vs AspectJ?

SOAP Web Services

  • What is a Web Service?
  • What is SOAP Web Service?
  • What is SOAP?
  • Waht is a SOAP Envelope?
  • What is SOAP Header and SOAP Body?
  • Can you give an example of SOAP Request and SOAP Response?
  • What is a SOAP Header? What kind of information is sent in a SOAP Header?
  • Can you give an example of a SOAP Header with Authentication information?
  • What is WSDL (Web Service Definition Language)?
  • What are the different parts of a WSDL?
  • What is Contract First Approach?
  • What is an XSD?
  • Can you give an example of an XSD?
  • What is JAXB?
  • How do you configure a JAXB Plugin?
  • What is an Endpoint?
  • Can you show an example endpoint written with Spring Web Services?
  • What is a MessageDispatcherServlet?
  • How do you configure a MessageDispatcherServlet?
  • How do you generate a WSDL using Spring Web Services?
  • How do you implement error handling for SOAP Web Services?
  • What is a SOAP Fault?

RESTful Web Services

  • What is REST?
  • What are the key concepts in designing RESTful API?
  • What are the Best Practices of RESTful Services?
  • Can you show the code for an example Get Resource method with Spring REST?
  • What happens when we return a bean from a Request Mapping Method?
  • What is GetMapping and what are the related methods available in Spring MVC?
  • Can you show the code for an example Post Resource method with Spring REST?
  • What is the appropriate HTTP Response Status for successful execution of a Resource Creation?
  • Why do we use ResponseEntity in a RESTful Service?
  • What is HATEOAS?
  • Can you give an Example Response for HATEOAS?
  • How do we implement it using Spring?
  • How do you document RESTful web services?
  • Can you give a brief idea about Swagger Documentation?
  • How do you automate generation of Swagger Documentation from RESTful Web Services?
  • How do you add custom information to Swagger Documentation generated from RESTful Web Services?
  • What is Swagger-UI?
  • What is “Representation” of a Resource?
  • What is Content Negotiation?
  • Which HTTP Header is used for Content Negotiation?
  • How do we implement it using Spring Boot?
  • How do you add XML support to your RESTful Services built with Spring Boot?
  • How do you implement Exception Handling for RESTFul Web Services?
  • What are the best practices related to Exception Handling with respect to RESTful Web Services?
  • What are the different error status that you would return in RESTful Web Services?
  • How would you implement them using Spring Boot?
  • What HTTP Response Status do you return for validation errors?
  • How do you handle Validation Errors with RESTful Web Services?
  • Why do we need Versioning for RESTful Web Services?
  • What are the versioning options that are available?
  • How do you implement Versioning for RESTful Web Services?

Who is the target audience?

  • You are learning Java
  • You are learning Spring
  • You want to attend Java & Spring Interviews
  • You want to add more depth to your Spring Knowledge
Basic knowledge
  • We use Eclipse as the IDE to demonstrate code examples
  • You should have programming experience with Java and Spring
What you will learn
  • You will learn to answer 200 interview questions on Spring, Spring Boot and Spring MVC
  • You will learn to answer questions on basics of JPA, Spring Data, Spring Data JPA, Spring AOP
  • You will learn to answer questions on RESTful Web Services and SOAP Web Services with Spring & Spring Boot
  • You will learn to answer questions on basics of Spring Framework – IOC, Application Context, Dependency Injection, Scope and Component Scan
  • You will learn about Spring Annotations – @Component, @Service, @Repository, @Controller, @Autowired, @Primary, @Qualifier, @Configuration
  • You will understand basic features of Spring Boot – Starters, Auto Configuration, Actuator and Externalized Configuration
  • You will be introduced to the Best Practices in using Spring and Spring Boot
  • You will be introduced to the approaches to handle validation errors with Spring MVC and Spring REST
  • You will be introduced to the approaches for Versioning, Content Negotiation with RESTful Services
  • You will understand the best practices in documenting your RESTful Services with Swagger

To know More:

Build a highly converting Shopify dropshipping store

About this Course

“A wealth of information that is highly needed for success of your dropshipping business! Luv it! Thank you!” Nicol Downing

“Thanks a ton for this course. This is the first Dropshipping Shopify course that I took. I took this course just to explore a new interest and believe me you enlightened me alot throughout the course. I learned alot about how exactly E-Commerce work. From that urgency to privy everything helped me knowing different new things.” Kartikey Porwal

shopify

Dropshipping is taking the ecommerce world by storm and currently dropshipping is  one of its most famous trends. Many are using dropshipping and some of them are making thousands of dollars every month or even every week!

And guess what? Today you can join them! Dropshipping might be your biggest chance to start earning money online and the best thing about it is is that you can start your Dropshipping shopify business with less than 100$!

In this course, I will help you start your own dropshipping business using shopify and build a shopify store that will have a high conversion rate using the cheapest way possible and with less than 2 hours!

The process of dropshipping works as follows:

  • You find a low cost product that is being sold by an online supplier, per example, any product on Aliexpress that costs 5$.
  • You post this product on your shopify ecommerce store and increase its price to 15$ per example.
  • You drive traffic to your dropshipping store by advertising using social media ads.
  • When a customer buys this product from your shopify store , you send the order to the supplier who will then ship it to your customer.

If we do some quick math for the example given above, if we assume that you paid 5$ for the social media ads then you are left with 5$ in the pocket…Now imagine that you sold 30 products per day… well that’s 150$/day!! Isn’t it great?

Many people struggle daily to start their droppshipping business and lots of them loose hope and give up without profiting. Their main problem is that “they don’t build a well optimized dropshipping shopify store that converts!”

Building a dropshipping store with shopify is easy but if it doesn’t make you any profit, then it’s useless. The goal is to build a dropshipping shopify store that converts and brings you money to increase your income! And with that in mind, I prepared this course so you can benefit from my experience in the dropshipping field!

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Through this course, I will further explain the Dropshipping concept and all the methods that I know that will help you create an awesome online dropshipping ecommerce shopify store that converts well.

Step by step, I will show you the core elements that I use to increase the conversion rate and how to add them to you shopify ecommerce store. Together we will see how to create urgency on your dropshipping ecommerce shopify store and on your checkout page by adding count downers, “number of items left”, social proof popups and many others elements. In addition, I will show you how to target some of your leaving customers or your previous customers via an email marketing system.

Not only that, I will also give you the 3 secret ingredients to pick profitable dropshipping products from Ali express and I will explain to you how to add them to your dropshipping ecommerce shopify store with few clicks and make them stand out !

By the end of this course and starting of tonight, you’ll be able to build a highly persuasive shopify ecommerce store that will help you move your Dropshipping business to the next level.

Dropshipping is a great business idea but like any other business, it has its bad and its good. Telling you that Dropshipping is all easy and quiet simple wouldn’t be truthful because it is not! Dropshipping needs a lots of hard work and dedication. Let’s be realistic though, earning money does require hard work and dedication.

Cash on this opportunity now, start your own well optimized highly converting shopify ecommerce store with me and let your dream become a reality.

Act quickly and let us start building your first shopify store now!

Start your dropshipping shopify business now!

Basic knowledge
  • A laptop or a PC and an internet connection!
What you will learn

By the end of this course you will learn to build a highly converting dropshipping shopify store, to pick products from Aliexpress and to add them to your store.

Fundamentals and advanced techniques any successful dropshipper uses to increase a shopify dropshipping store conversion rate.

In this course, I will give you all the techniques I know about building highly converting shopify dropshipping store.

 

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VMware vSphere 6.5 – Setup your own enterprise environment

Overview

VMware vSphere is the most popular platform for deploying virtualized workloads. In this course you will learn how to build reliable enterprise grade VMware vSphere infrastructure from scratch to fully operational production environment.

Is this a right course for me? 

Have you ever wondered how to set-up your own VMware vSphere infrastructure? How everything is working together to create reliable environment for virtual machines? I have designed this course to help you to understand key concepts of VMware vSphere and I will guide you through whole process of creating your own VMware vSphere infrastructure.

VMWare

What is covered?

I won’t be talking much about theory and all those fancy acronyms you can see everywhere. Instead of that we will create our very new enterprise grade VMware vSphere environment. We will install three hypervisors and central management platform, configure real world networking and interconnect everything together. Then I will cover key functions of our newly created environment such is high availability, shared storage, migrations of virtual machines and all useful functions that might be handy in real world. After this course, you will be able to set-up you own VMware vSphere environment in your company from the scratch and provide reliable infrastructure for your virtual machines.

Am I going to be bored?

I have tried to be as practical as possible. I won’t disturb you with those little things like “How many hypervisors can be part of a cluster? Is it 32 or 64?” No, we will be learning things by doing them in my lab. Because of those practical lessons I hope you will enjoy them much more than some theory based lectures.

What others say

Few selected reviews. Thank you!

“Enjoyed the course and was able to gain needed knowledge of VMware vSphere. From overview to deep dive, with explanations of real world uses, setups and issues or events. Learned ways to gather more information for future use and long term help. Highly recommended course and Instructor. “

“Super Instructor, I like his way of giving the real world examples and as I’m experienced already with VMware, he has super experience to guide you & if you ask any question? moreover his response to your question is awesome, detailed and fast response… I’m sure if ask Martin to give me any technical support in the future, he will not refuse at all. “

“One of the most Knowledgeable and informative course I was enrolled in, it give you very beneficial details about a lot of topics for vmware This course helped me lot during the preparation of my VCP6 certification If there’s any other courses regarding vmware you will create in the future please let me know so I can enroll myself on it Thank you for that course.“

“After finishing the course and recreating everything in my VMware workstation nested ESXi Lab. I learned a lot of things that I can use at my job. I am aspiring to join the vmware experts at my company and this put me on a fast track towards achieving that. This filled in a huge gap (production grade design that I can use in my VCP lab) in my studies for VCP 6. Many thanks to the author. I hope he adds more design related videos and shares his experiences about designing private clouds in the bonus section. I would like the videos to be geared towards new VMware architects.“

Basic knowledge
  • Basic knowledge of VMware vSphere
  • You should understand basic concepts of networking and storage design
  • Prior working experience with VMware vSphere is nice to have but not a must
What you will learn
  • Design and implement own VMware vSphere environment
  • Understand key concepts of building reliable infrastructure
  • Set of best practices to run enterprise grade environment
  • Practical experience not theory from books

To Read More:

Machine Learning, NLP & Python-Cut to the Chase

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM – educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

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Let’s parse that.

The course is down-to-earth : it makes everything as simple as possible – but not simpler

The course is shy but confident : It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff.

You can put ML to work today : If Machine Learning is a car, this car will have you driving today. It won’t tell you what the carburetor is.

The course is very visual : most of the techniques are explained with the help of animations to help you understand better.

This course is practical as well : There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python.

The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art – all shown by studies to improve cognition and recall.

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What’s Covered:

Machine Learning:

  • Supervised/Unsupervised learning, Classification, Clustering, Association Detection, Anomaly Detection, Dimensionality Reduction, Regression.
  • Naive Bayes, K-nearest neighbours, Support Vector Machines, Artificial Neural Networks, K-means, Hierarchical clustering, Principal Components Analysis, Linear regression, Logistics regression, Random variables, Bayes theorem, Bias-variance tradeoff

Natural Language Processing with Python:

  • Corpora, stopwords, sentence and word parsing, auto-summarization, sentiment analysis (as a special case of classification), TF-IDF, Document Distance, Text summarization, Text classification with Naive Bayes and K-Nearest Neighbours and Clustering with K-Means

Sentiment Analysis:

  • Why it’s useful, Approaches to solving – Rule-Based , ML-Based , Training , Feature Extraction, Sentiment Lexicons, Regular Expressions, Twitter API, Sentiment Analysis of Tweets with Python

Mitigating Overfitting with Ensemble Learning:

  • Decision trees and decision tree learning, Overfitting in decision trees, Techniques to mitigate overfitting (cross validation, regularization), Ensemble learning and Random forests
  • Recommendations: Content based filtering, Collaborative filtering and Association Rules learning
  • Get started with Deep learning: Apply Multi-layer perceptrons to the MNIST Digit recognition problem
  • A Note on Python: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible

Who is the target audience?

  • Yep! Analytics professionals, modelers, big data professionals who haven’t had exposure to machine learning
  • Yep! Engineers who want to understand or learn machine learning and apply it to problems they are solving
  • Yep! Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
  • Yep! Tech executives and investors who are interested in big data, machine learning or natural language processing
  • Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role
Basic knowledge
  • No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided
What you will learn
  • Identify situations that call for the use of Machine Learning
  • Understand which type of Machine learning problem you are solving and choose the appropriate solution
  • Use Machine Learning and Natural Language processing to solve problems like text classification, text summarization in Python

To Learn More:

Learn RabbitMQ: Asynchronous Messaging with Java and Spring

– “RabbitMQ is the most widely deployed open source message broker.” – Pivotal Software, 2018

Join me in this course to learn ins and outs of RabbitMQ!

If you want to learn RabbitMQ and how to develop with it using Java and Spring AMQP, this is the only course you need! 

From Exchanges to Queues, Bindings to Message Listeners, we’ll start by learning the pillars, corner stones of RabbitMQ and build on top of them with practical development for all these concepts using Java and Spring! 

java spring

I will walk you through the starting from scratch, the messaging itself! We’ll discover what messaging means and how it affects our architectural decisions and design considerations. Next up is the AMQP, Advanced Message Queueing Protocol. We’ll discover the benefits and reasons behind the popularity of AMQP and how it shaped the architecture of RabbitMQ from messaging concepts to client platforms making use of it.

While discovering the advantages of AMQP, we’ll then start discovering RabbitMQ and its architecture. We’ll learn Queues, Exchanges, Bindings, Routings, Publishers, Subscribers and much more about RabbitMQ!

After meeting with RabbitMQ through the concepts that it puts on the table, we’ll start preparing our environment for running RabbitMQ and developing applications using it. We’ll install all the necessary software for RabbitMQ and have it up and running on our machines both on Windows and MacOS.

When we finish preparing our environment for RabbitMQ, we’ll start discovering by RabbitMQ Management Dashboard. We’ll see and learn how RabbitMQ Dashboard helps us easily monitor and manage our RabbitMQ server. We will then send our first ever message to RabbitMQ!

After sending our message, we’ll learn how to create Queues, Exchanges and Bindings between them.

Now it’s time to start developing for RabbitMQ! We’ll learn everything we need to develop software using RabbitMQ starting with RabbitTemplate. RabbitTemplate helps us publish messages to RabbitMQ really easy and we’ll learn to use it by examples. From simple text messages to actual objects, we’ll learn to send any kind of messages.

The Complete JavaScript series with jQuery and Angular JS

We’ll then deepen our knowledge by developing actual Queues, Exchanges and Binding with Java and Spring! We’ll learn how to construct Queues, Exchanges, Bindings with Spring AMQP using both Annotations and Builder methods. We’re not going to finish it there and we’ll develop a message listener for specific queue that we also created programmatically.

We’ll both publish and listen to messages so we’ll developing a complete application from scratch just like we should in our professional applications!

Until this point, you’ll practically gain all the knowledge you need to develop applications with RabbitMQ. But we’ll not stop there and also think of an asynchronous messaging pipeline scenario where we send messages from one application and receive from another one. If you’re beginning to work with RabbitMQ or if you need to realize an asynchronous scenario for your next design, this part is especially valuable to you and you should definitely learn how to do this!

Below are some of the key metrics for RabbitMQ; if you’re still hesitant to take this course, please read these carefully:

  • RabbitMQ is the most widely deployed open source message broker or messaging middleware in other terms.
  • With more than 35,000 production deployments of RabbitMQ world-wide at small startups and large enterprises, RabbitMQ is the most popular open source message broker.
  • RabbitMQ is lightweight and easy to deploy on premises and in the cloud. It supports multiple messaging protocols. RabbitMQ can be deployed in distributed and federated configurations to meet high-scale, high-availability requirements.
  • RabbitMQ runs on many operating systems and cloud environments, and provides a wide range of developer tools for most popular languages.

I hope I’ll be seeing you in the course to teach you everything you need to develop applications with RabbitMQ!

Basic knowledge
  • Working knowledge of Java, Spring preferred
  • Any Java IDE (Intellij preferred)
What you will learn
  • Learn to build applications with RabbitMQ using Java and Spring!
  • Learn and Implement Topics, Queues, Exchanges and Bindings in RabbitMQ
  • Learn how to develop message listeners for specific queues and routings
  • Learn to design asynchronous, message-driven systems with RabbitMQ!
  • Learn and understand Message-Queueing
  • Learn and understand Advanced Message-Queueing Protocol or AMQP
  • Learn and understand how Advanced Message-Queueing Protocol works
  • Learn and understand the architecture of RabbitMQ

To Learn More: