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Post Graduate Certification in Full Stack Web Development

8-month long Job-Leading Program for Computer Science students

  • Pre-requisites : B.E or B.Tech
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Learn at our world-class Skill-Centers in Chennai, Bengaluru & Hyderabad.

Perks of studying at the Skill-Center include, 

  • State-of-the-art infrastructure to ensure that you get the best of blended learning 
  • Access to workstations that have been pre-loaded with all the necessary software that you will need 
  • Access to our Dedicated Technical Support Engineers 
  • Interaction with Industry Experts through webinars and weekend workshops
  • Build a network with students who are driven by the same passion 
  • Additional boarding options available

Become a full-stack developer with no prior coding experience or external software using this course. Learn how to create a world-class website using the latest front-end and back-end technologies. 

With this course, you will be able to create a website that is fast, interactive, and responsive across all platforms and devices. You will learn how to create the basic structure and skeleton of any website, become an adept front-end and back end developer. You will also learn how to scale your website as it grows, which will give you a remarkable edge over your peers and guarantee a job in the software industry. 

As a part of the Program - you will be working on 10+ projects plus 50 assignments. At the end of the course, you would have built an extremely complex and dynamic e-commerce website. 

What Will You Learn in this Course?

  • Data structures and Algorithms
  • The Complete Front-end Development
  • Java Web Applications Development
  • Design Patterns for Building Scalable Applications
  • Version Control & Test Driven Deployment

Program Outcomes

The Masters’ program from Skill-Lync offers a completely online experience for the student. This program consists of courses that will equip you with the skills required to apply for specific job functions. No prior experience to coding is required by the student. What you need to know is provided to you in this complete package. 
A website stores a large amount of data. Knowing where to place the data and structure them properly will save you time when you actually need it. Implementing a proper algorithm to retrieve this stored data is the next step in ensuring that your website runs optimally. Both these skills are highly sought out for in a web developer and can easily be applied to any code. With the first course in this masters program, we start you off with introducing you to Data Structures and Algorithms. In this course, you will
  • Learn about Data types and data structures
  • Learn about Lists, Stacks, Queues, Heaps, Graphs
  • Learn different Sorting techniques
  • Learn optimization using Greedy Algorithms, Backtracking and Dynamic Programming

    We will then take you through everything you need to know to become a front end developer.
A front end developer creates whatever you visually see on a website. They are tasked with creating the necessary elements to make your website attractive, understandable and in the end, retain your user for a longer time and keep them coming back for more.
This course in the masters program 
  • Introduces you to how the internet works and how it has evolved in the past few years.
  • Structuring a webpage using HTML5. 
  • You will also be introduced to various tools like CSS and Bootstrap to help style your webpage and adapt it to multiple platforms or devices. 
  • To increase the interactivity of your website, it is necessary to learn Javascript.
  • Knowledge on Java will be provided to the student if required.
  • In order to make your website fast and responsive, one needs a good understanding of Jquery, AJAX, JSON and it’s principles. 
  • After getting an understanding of these technologies, we will take you through steps on how to build an e-commerce website. 

    An e-commerce website is considered to be highly dynamic with a lot of varying elements. Once you are done with this project, you will be able to create websites as simple as creating your own portfolio to something as complex as another ecommerce website.
The next  two courses in the program lets you take a dive into coding by introducing you to everything you need to know to become a Full Stack developer. The third course in the masters program gives you knowledge on how to create the back end for your website. The storage of data and proper retrieval is what we’ll focus on in this course. The contents of this course will give you an
  • Introduction to Web Application
  • Understanding of Client Server Architecture
  • Introduction to Database connectivity
  • Usage of MySQL, Spring MVC, Hibernate and Maven
  • Idea of how to implement security features to your website
  • Introduction to other technologies such as 
    • Kafka
    • Redis
    • JMS API



With this knowledge, we will connect the front end of the e-commerce website that was worked on in the previous course to the back end 
By the end of this course, your portfolio will contain projects that will use all the concepts taught to make you a full fledged JAVA web developer/Full Stack Developer.
Now that you’ve built a website, maintaining it can get very complex as it grows. You will need to implement different types of data structures and designs to help scale it up without compromising on the user experience. The fourth course in the masters program gives you knowledge on
  • Scalable systems
  • Distributed systems
  • Design patterns
that are used commonly. Various case studies will be examined and explained that relate to how famous websites scaled up as the company grew.
By completing this set of courses, you are pretty much guaranteed to land your first job in the Software Development field

What Will You Learn in this Course?

In this Master's Program, you will be taken through everything that you need to know to create your own website. We start the program by introducing you to a key piece of information that you can apply anywhere while coding, which is Data structures and the algorithms that are employed. Then you will be taken through the steps required to create a website. You will be working on an e-commerce website since it is considered to be highly dynamic. Working on such a project will equip you to work on pretty much any other website there is. After creating the front end, you will proceed to create the functioning back end for your website and then finish it off by making sure that your website performs optimally across all platforms as your website traffic grows

Browse through the slider images to get a peek into the contents of the program

  • Learn about Data structures and Algorithms
  • Learn how to create the front end of your website
  • Learn how to create the back end for your website
  • Scale your website as traffic grows


Get a 1-on-1 demo to understand what is included in the course and how it can benefit you from an experienced sales consultant. The demo session will help you enroll in this course with a clear vision and confidence.

Request a Demo Session

Program Features

See all

List of courses in this program

1Data Structures and Algorithms

Any computer science student knows that Data-Structures and Algorithms are the building blocks of any well-designed piece of software. Students generally are very good at understanding the textbook definitions of Stack, Heap, or Linked-lists. However, when you put them in practice, that is when you start seeing gaps in the student's understanding. By learning this first module from SKILL-LYNC, we will

  • Help you clock in 300+ hours of coding for a wide range of problems
  • Teach you how scalable web/desktop applications are built
  • Expose you to what top tech companies expect from developers

2The Complete Front-End Development

A front end developer creates whatever you visually see on a website. They are tasked with creating the necessary elements to make your website attractive, understandable and in the end, retain your user for a longer time and keep them coming back for more.

This course in the masters program 

  • Introduces you to how the internet works and how it has evolved in the past few years.
  • Structuring a webpage using HTML5. 
  • You will also be introduced to various tools like CSS and Bootstrap to help style your webpage and adapt it to multiple platforms or devices. 
  • To increase the interactivity of your website, it is necessary to learn Javascript.
  • Knowledge on Java will be provided to the student if required.
  • In order to make your website fast and responsive, one needs a good understanding of Jquery, AJAX, JSON and it’s principles. 
  • After getting an understanding of these technologies, we will take you through steps on how to build an e-commerce website.

3Java Web Applications Development

As you might know, any modern site has a Front-end that you interact with and a Back-end that processes information behind the scenes. In this module, you will learn

  • State of modern web application development from expert webinars
  • Fundamentals: HTML, CSS, Javascript, Bootstrap and Jquery
  • Modern Javascript frameworks: Vue and Ember
  • Python-based framework - Django

4Design Patterns for Scalable Web Applications

Choosing a particular tech-stack or tool-chain depends on what tasks your application is going to perform under what circumstances. However, from a software point of view, a well-designed piece of software helps with re-usability and maintainability which helps in quick development across multiple developers. Through this course, you will learn

  • Common patterns such as Creational patterns, Structural patterns, and Behavioral patterns
  • How Design patterns help in producing a Testable and maintainable codebase

5Version Control and Test Driven Development

Version control using GIT or SVN is a must when you have a global team working on a large application. The same can be said about testing. Automated testing is extremely important when developing maintainable applications. Through this module, you will learn

  • GIT
  • Automated testing for web applications

1. Data Structures and Algorithms


A data structure is a named location that can be used to store and organize data. An algorithm is a collection of steps to solve a particular problem. Learning data structures and algorithms allow us to write efficient and optimized computer programs. Data structures provide a means to manage large amounts of data efficiently for uses such as large databases and internet indexing services. Usually, efficient data structures are key to designing efficient algorithms.
In the first week of this course, you will learn:

  • Stack memory vs heap memory in Java
  • Physical vs logical data structure
  • Abstract data type and data structure
  • Complexity analysis
    • Asymptotic analysis, comparison of functions, recurrence relations
    • Time complexity
    • Space complexity
    • Master theorem
    • Amortized analysis
    • Iteration vs recursion
  • Recursion - Factorial, Fibonacci, finding nCr, tower of Hanoi problem.

2Arrays, Strings, and Lists

Arrays are used to store multiple values in a single variable, instead of declaring separate variables for each value. A string is a sequence of characters like - "hello". In this string the sequence of characters is 'h', 'e', 'l', 'l', and 'o'. Unlike other programming languages, strings in Java are not primitive types like int and char. Instead, all strings are objects of a predefined class named string. A LinkedList is a part of the collection framework present in Java. util package. This class is an implementation of the LinkedList data structure which is a linear data structure where the elements are not stored in contiguous locations and every element is a separate object with a data part and address part.

In this session, we will learn about:

  • Arrays
    • Static arrays
    • Dynamic arrays
    • 2D arrays, row-major and column-major mapping, matrices
  • Strings
  • LinkedList
    • Singly LinkedList and its operations
    • Doubly LinkedList and its operations
    • Circular LinkedList and its operation

3Stacks and Queues

The stack is a linear data structure that is used to store the collection of objects. It is based on Last-In-First-Out (LIFO). Java collection framework provides many interfaces and classes to store the collection of objects. One of them is the stack class that provides different operations such as push, pop, search, etc. The queue is used to represent an ordered list of elements. It follows the FIFO or First In First Out procedure to insert and remove elements. The queue also supports methods of collection interface.

In this session, we will be discussing-
  • Stacks
    • Implementations- using arrays, using linked lists
    • Operation
    • Applications
  • Queues
    • Implementations- using arrays, using a LinkedList, using two stack
    • Circular queues
    • Priority queues


A tree is a non-linear data structure where data objects are organized in terms of hierarchical relationships. Java provides two in-built classes, TreeSet and TreeMap, in Java Collection Framework that cater to the needs of the programmer to describe data elements in the aforesaid form. There are many different types of tree structures available and we’ll be discussing them one by one

  • Trees.
    • Binary trees, their representations.
    • Pre-order, In-order, post-order traversals
    • Binary search trees
    • AVL trees

5 Heaps and Tries

Heap and Trie are a special case of trees. A Heap is a special tree-based data structure in which the tree is a complete binary tree. Trie is an efficient information retrieval data structure. Using Trie, search complexities can be brought to the optimal limit. In the session, we will try to solve the longest word in the dictionary problem using Tries.

  • Heaps
    • Min Heap
    • Max Heap
    • Find K largest (or smallest) elements in the array.

  • Trie

6Graphs & Algorithms

A graph is a data structure that consists of- 1. A finite set of vertices also called as nodes and 2. A finite set of ordered pairs of the form (u, v) called as edges. Algorithms in Java are static methods that can be used to perform various operations on collections. Since algorithms can be used on various collections, these are also known as generic algorithms. We will be discussing different types of algorithms like-
  • Graphs
    • Types of graphs
    • Breadth-first search, depth-first search
    • Topological sort
    • Shortest path problem
  • Algorithms
    • Dijkstra's algorithm
    • Bellman–Ford algorithm
      • Minimum spanning tree problem
    • Prim's algorithm
    • Kruskal's algorithm


Sorting generally means to put data in a certain order. The order can either be alphabetically sorted or numerically sorted. There are many types of sorting techniques available in Java. We will be discussing each of them in this session.
  • Sorting- 
    • Types of sorting techniques
    • Bubble sort
    • Insertion sort
    • Selection sort
    • Quick sort
    • Merge sort
    • Heap sort
    • Count sort
    • Bucket sort
    • Radix sort
    • Shell sort

8Searching and Hashing

Searching is probably one of the most common actions performed in a regular business application. This involves fetching data stored in data structures like arrays, list, and maps. More often than not, this search operation determines the responsiveness of the application for the end-user. Hashing is the process of converting a given key into another value. A hash function is used to generate the new value according to a mathematical algorithm. The result of a hash function is known as a hash value or simply, a hash.

Hashing is primarily used for authentication. Chaining is the practice of calling different methods in a single line instead of calling different methods with the same object reference separately. Under this procedure, we have to write the object reference once and then call the methods by separating them with a (dot.). Similar to chaining, open addressing is a method for handling collisions. In open addressing, all elements are stored in the hash table itself. So at any point, the size of the table must be greater than or equal to the total number of keys.

During this week we will be discussing about the following:

  • Searching
    • Linear search
    • Binary search
  • Hashing
    • Hash function
    • Collision handling
  • Chaining
  • Open addressing
    • Linear probing, primary clustering
    • Quadratic probing, secondary clustering
  • Double hashing

9 Greedy Algorithms

A greedy algorithm is a simple, intuitive algorithm that is used in optimization problems. The algorithm makes the optimal choice at each step as it attempts to find the overall optimal way to solve the entire problem. Greedy algorithms are quite successful in some problems, such as Huffman encoding which is used to compress data, or Dijkstra's algorithm, which is used to find the shortest path through a graph. Such algorithms are called greedy because while the optimal solution to each smaller instance will provide an immediate output, the algorithm doesn't consider the larger problem as a whole.

The topics discussed in this session will be-

  • The strategy of greedy algorithms
  • Elements of greedy algorithms
  • Advantages of greedy algorithms
  • Disadvantages of greedy algorithms
  • Applications of greedy algorithms
  • Knapsack problem
  • Job sequencing with deadlines
  • Huffman coding

10Divide and Conquer

The divide and conquer approach is pretty straightforward, the problem in hand is divided into smaller subproblems and then each problem is solved independently. As we keep dividing the subproblems into even smaller problems, we eventually reach a stage where no more division is possible. These "atomic" smallest possible problems are then solved. The solution of all "atomic" problem sets are finally merged in order to obtain the solution of an original problem.

In the session this week ,we will discuss:

  • The strategy of divide and conquer techniques
  • Advantages of divide and conquer techniques
  • Disadvantages of divide and conquer techniques
  • The master theorem of divide and conquer techniques
  • Applications of divide and conquer techniques
  • Find the median of two sorted arrays


acktracking is an algorithmic-technique for solving problems recursively by trying to build a solution incrementally, one piece at a time, removing those solutions that fail to satisfy the constraints of the problem at any point of time. We’ll discuss about two methods used to backtrack.
  • Backtracking- 
    • Brute force approach
    • N queens problem
  • After backtracking we will be studying how Java 8 collections framework is implemented. We will be covering the following,
    • Set
    • List
    • Queue
    • PriorityQueue
    • Map
    • HashSet
    • TreeSet
    • ArrayList
    • LinkedList
    • Vector
    • Dictionary
    • Stack

12Dynamic Programming

Dynamic Programming is also an algorithmic technique for solving the optimization of problems. It is done by breaking the problem down into simpler subproblems and utilizing the fact that the optimal solution to the overall problem depends upon the optimal solution to its subproblems.

During this session, we will be covering the following:

  • Dynamic programming- 
    • The strategy of dynamic programming
    • Properties of dynamic programming
    • Approaches of dynamic programming
    • 0/1 knapsack
    • Travelling salesman problem
    • Floyd Warshall
  • In the end, we will conclude and summarize the course by having a brief discussion on Greedy vs Divide & Conquer vs Dynamic Programming.

2. The Complete Front-End Development

1 Basics of a Web Application

Information on the Web is stored in documents, using the HTML (HyperText Markup Language) language. Web clients interpret HTML and display the documents to a user. The protocol that governs the exchange of information between the Web server and Web client is named HTTP.

This week, we will give you a brief introduction on topics of HTTP and how it works.

The topics in specific you will be learning are:


  • What are websites and how do they work? 
  • How does the Internet work? 
  • The browser and HTTP. 
  • How have web applications evolved- Web 1.0, 2.0, 3.0? 
  • HTTP session and session storage.
  • Fundamentals of web application design- The N-tier architecture.
  • Role of HTML, CSS, and JavaScript.
  • Set up the software development environment you will use throughout the remainder of the course.

2Structuring your webpage using HTML5

During the course of this week, you will be learning how to structure your webpage using HTML5. HTML5 is a programming language whose acronym stands for HyperText Markup Language. It allows the modification of the appearance of web pages. It is also used to structure and present content for the websites.

The topics taught in this week are:

  • Valid document structure, anatomy of HTML syntax
  • HTML5 semantic tags - Elements and attributes, Block and inline elements
  • Essential HTML5 tags - headings, paragraph, styles, comments, colours
  • HTML lists - unordered and ordered lists
  • Inserting images using HTML 
  • How to create hyperlinks using anchor tags
  • HTML tables
  • HTML forms and create a simple contact me form
  • HTML Div-Layout and separate content for CSS styling
  • Classes, ID
  • HTML iFrames
  • HTML Graphics
  • HTML Media
  • HTML APIs- Geolocation, Web Storage, Web Workers, Drag and Drop, SS Event
  • HTML best practices- HTML vs XHTML

3Styling your webpage using Cascading Style Sheets (CSS3)

During this week, you will learn how to style your webpage. Styling a web page is vital as it impacts how the audience perceives your brand, product, or service. The first impression that they have on your website can make either stay on your page or migrate them to a competitor’s. This is where Cascaded Style Sheets(CSS) come into play.

During this week, you will learn:

  • Basics of CSS3, CSS rules
  • Comments, Colors, background, border, margin, padding, height and width
  • CSS selectors and properties
  • Inline, internal, and external CSS
  • Font styling, web safe fonts - texts, icons, links
  • The 'Box model'
  • CSS sizing methods
  • CSS static, relative, and absolute positioning systems
  • CSS float and clear 
  • Pseudo classes and pseudo elements
  • Class vs. ID
  • Opacity, Navigation bars, Dropdowns
  • CSS rule conflict resolution. specificity, and implementing style hierarchy
  • Images and forms styling
  • Transitions, animations, pagination, 2D and 3D transforms
  • Responsive web design 
  • The grid system
  • Flexbox, media queries
  • CSS coding best practices

4 Make styling simpler using Bootstrap 4

As the number of devices that are available to the general populace increases, your website will receive traffic from various forms of devices. Each of these devices has different screen sizes, different UIs, and other differing features. So, it is vital that you ensure that your website looks best regardless of the device it is viewed from. During the classes this week, you will learn about Bootstrap4. Bootstrap is an open-source front-end framework for faster and easier web development. It includes HTML and CSS based design templates for typography, forms, buttons, tables, navigation, models, image carousels and many other, as well as optional JavaScript plugins.

This week’s content will have:

  • The mobile-first paradigm
  • Wireframes in the design phase
  • Twitter Bootstrap- Grid System
  • How to install the Bootstrap framework
  • Bootstrap containers to layout website easily
  • Other Bootstrap components- buttons, tables, images, jumbotron, alerts, progress bars, spinners, dropdowns, forms, panels, modal, tooltip, popover, scrollspy, utilities, media objects and filters
  • Bootstrap carousels
  • Bootstrap cards 
  • Bootstrap navigation bars
  • Bootstrap themes
  • Font awesome

5Principles of building a better UI

A good User Interface (UI) is almost invisible to the user. It avoids unnecessary clutter and gets straight to the point. This is done by using a myriad of labels and visual aids. However, the most vital feature for a good UI are common UI elements. By integrating common elements in your UI, the users will feel more comfortable and will be able to get things done more quickly.

During the course of this week, you will learn:

  • Web Design - Colours, typography
  • Principles of a good User Interface (UI)
  • Principles of a good User Experience (UX)
  • Usability- Don’t make the user think
  • Naturalness
  • User Control
  • Predictability
  • Flexibility and efficiency
  • Consistency
  • Error prevention
  • Clarity
  • Visual hierarchy
  • Progressive disclosure
  • Accommodate all types of users
  • Fitts' law
  • Protect the user’s work
  • Design for interaction
  • Focus on one action
  • Grouping and breakup
  • Prioritise performance
  • Principles- DRY, KIS, less is more, Responsive Web Design (RWD).
  • Information architecture
  • User research and usability testing
  • Improving accessibility
  • Implementing these principles on our website.

6Starting an eCommerce website using HTML, CSS and Bootstrap

The most common usage for a website is in E-commerce. In general, an eCommerce website is considered to be highly dynamic with a lot of elements. That is why the student is being introduced to this particular type of website. It will help them handle almost any type of website thereafter.

During this week we will teach you how to:

  • Interact with clients for creating their eCommerce website
  • Building the website front end from scratch with the help of wireframes
  • Code walkthrough

7Add behaviour to your website using JavaScript

This week we will be taking our website to the next level with interactivity and reaction to page events such as page load, button clicks, mouse movements, keyboard input etc. We’ll dynamically alter the contents and style of a webpage. A big advantage of having a website which is actively interacting with the user is more user engagement. This will give more leads and in turn more revenue.

The topics we will be covering in detail during this week are:

  • Variables, data types, operators in JavaScript 
  • Statements, syntax, comments, and events
  • Loops, control, and conditionals 
  • JS forms
  • Document Object Model (DOM)
  • Browser Object Model (BOM)
  • JS functions
  • Scope and closures 
  • Object-Oriented Programming (OOP) 
  • JS objects and prototypes- keyword
  • Cookies
  • Exception handling
  • Arrow functions
  • Promises
  • Template string, default parameters, spread and rest operators, destructuring, generators, set, map, weak set, weakmap 
  • Separation of concerns, refactoring, debugging, and coding best practices

8 Learn to refactor JQuery in existing sites

In computer programming, refactoring is generally done to improve the design, structure, and/or implementation of the software. All these actions are done while preserving its functionality.

During this week we will learn about:


  • Installing and using the jQuery framework
  • jQuery syntax, selectors, events and functions
  • Manipulate text, styles and attributes with jQuery
  • Create animations and customizations with jQuery
  • Responding to user-initiated events with jQuery
  • Traversing - ancestors, descendants, siblings, filtering

9 Code your eCommerce website using JavaScript

We will learn how to code your eCommerce website with the help of JavaScript. The importance of JavaScript as a web technology can be determined from the fact that it is currently used by 94.5% of all websites. As a client-side programming language, JavaScript helps web developers to make web pages dynamic and interactive by implementing custom client-side scripts. The topics we will be discussing are 

  • Possibilities with JS 
  • Animating our website
  • Code walkthrough

10Serving and retrieving data using AJAX, JSON, and XML

We will be learning how to serve and retrieve data using 3 data types- AJAX, JSON and XML.

We will be covering:

  • Serving and retrieving data to a web site
  • Asynchronous loading - Set up and handle AJAX requests and responses. 
  • JSON
  • XML
  • Processing JSON data
  • JSON vs. XML

11 Your final eCommerce website

Now that we have covered the major parts of the course, we will now be moving on to the concluding week.

During this week, we will be 

  • Building final parts of the eCommerce site UI
  • Adding asynchronous calls to the website and Data transfer using JSON
  • Summary
  • What next?
  • Motivational tips

3. Java Web Applications Development


Java is probably one of the most commonly used web development software out there in the market. And it is among the top for good reason. Java is very backward compatible. This means that when a new version is released, in all likelihood, your existing code will work. That's a huge deal to large organizations that have multiple projects and millions of lines of code. Java standardizes many vital aspects like, how things must be named, and even makes recommendations on code formatting. This means that all java code looks very similar, which makes the code easy to read. So when you swap people on projects, the learning curve isn't steep. The developer tools are excellent, especially when compared to most other languages. The software also has an enormous ecosystem that has evolved over many years. When starting a project, it's great knowing that most of your grunt work can be handled easily. With the dilemma of WHY JAVA? Aside, we’ll focus on what we will be discussing in the first week of the course. In this week, we’ll be talking about-
  • Java SE, ME, and EE
  • Introduction to Java EE
  • What is a web application?
  • The client-server architecture
  • Setting up the Java development environment
  • Why use a server?
  • Installing MySQL Tomcat
  • Using Maven
  • Add and update project dependencies within a Maven POM file
  • Creating a Software Design Document.

2JSP and Servlets

Both JSP and Servlets are a part of the JAVA ecosystem. Both are sufficiently different. The servlet is a Java class which extends the capabilities of servers that host applications and is accessed by means of a request-response model.  Servlets are mainly used to extend the applications hosted by web servers. A JSP is a text document which contains two types of text: static data and dynamic data. The static data can be expressed in any text-based format (like HTML, XML, SVG and WML). This week we will cover-

  • The role of a Servlet within a Java Application Server
  • Reading an HTTP request and generating a response
  • Get vs Post
  • Introduction to Model View Controller in a Java web application
  • Java Server Pages- using directives, handling errors
  • Jakarta Standard Tag Library (JSTL)
  • Java Beans
  • Session management and tracking
  • Event listeners, Event handlers
  • Filters
  • Multithreading in Java
  • Asynchronous programming

3Connecting with MySQL

MySQL is one among the most widely used open source database management systems. One of the reasons MySQL is the world's most popular open source database is that it provides comprehensive support for every application development. Within the database, support can be found for stored procedures, triggers, functions, views, cursors, ANSI-standard SQL, and more. With a plethora of functionalities it is vital that you know how to connect JAVA to MySQL. In this week we will discuss

  • The Java Naming and Directory Interface (JNDI) 
  • JDBC (Java Database Connectivity)
  • Connect with the MySQL database
  • Mappings between Java objects and SQL tables
  • Connecting an application with a data store using these mappings
  • Similarities between Java data types and SQL data types
  • Adding the Data Access Object (DAO) classes
  • Initialize Data Sources with SQL scripts
  • Execute SQL queries with JDBC Template and automatically map the results to your Data Objects
  • Create a database and table using Java
  • Create an entry in the database
  • Update the entry in the database
  • Read from the database
  • Delete from the database


Spring is a Framework. A framework is essentially a bunch of boilerplate code that is written for you to simplify a lot of the basic setup you would need to do to get a project started. Once your project is started, frameworks contain lots of code that makes doing common tasks for your project easier. Frameworks are designed with certain assumptions about what type of projects will be built with them and what kind of tasks their users will perform. Now on to Spring. Spring is a type of framework that contains a lot of tools for a lot of different types of projects. Spring is mostly used in enterprise-level projects that scale in a big way. This week, we will be setting you in pace with frameworks and springs. The topics covered will be
  • What is a framework?
  • What is the need for a framework?
  • Identify the role of Spring as a Servlet application tool
  • Architecture and project setup
  • Spring configuration and Dependency injection
  • Spring scopes
  • Autowiring
  • Spring Bean, Bean lifecycle
  • Spring MVC
    • Request Response Lifecycle
    • Creating a Spring MVC Application
    • Application layers
    • Spring Components
    • Creating Controllers in Spring MVC
    • Populating the data model for a given view using the Controller
    • Using Thymeleaf in Spring MVC views
    • Springform
  • Database connectivity


Hibernate is an ORM framework for java applications, it is a way of working with data in the database as objects increasing the speed of development. But what is an ORM? ORM stands for Object-Relational Mapping (ORM). It is a programming technique that is used to convert data between relational databases and object-oriented programming languages such as Java and C#. Since Hibernate is an ORM tool, it simplifies data creation, data manipulation, and data access. It is a programming technique that maps the object to the data stored in the database. This week, we will cover-

  • How to use ORM to reduce development time and programmer error
  • Understanding key concepts in ORM- Persistence Context and Entity Manager
  • Hibernate
  • Spring Data Java Persistence API (JPA)
  • The JPQL (Java Persistence Query Language)- Writing and executing object queries in Java
  • Isolating Entity scope through the use of annotations and Data Transfer Objects
  • Propagating retrievals and persistence using Lazy Loading and Cascading
  • Controlling the execution of queries through Transactions
  • Customizing Spring Data Source construction and injection
  • SQL vs Hibernate, combining both in the same project

6 Spring Boot

Spring Boot is an open-source framework used to create microservices. It is easy to create stand-alone and production-ready Spring applications using Spring Boot. Spring Boot offers a fast way to build applications. It looks at your classpath, and at the beans you have configured, makes reasonable assumptions about what you are missing, and adds those items.  Spring Boot contains comprehensive infrastructure support for developing a microservice and enables you to develop enterprise-ready applications that you can “just run”. In this week we will cover-
  • What is the Spring Boot?
  • Setting up and configuring a working Spring Boot Environment for web development
  • Creating a Spring Boot Application using annotations and factory methods
  • Connecting to the Database, JPA
  • Identifying Spring registered components in Java applications based on Spring annotations
  • Annotating code to register custom components
  • Introduction to Microservices
  • Identifying and customizing essential properties for the Spring Server


Web security is vital to keep hackers and cyber-thieves from accessing sensitive data and information. Without a proactive security strategy, businesses risk the spread and escalation of malware, attacks on websites, networks, and other IT infrastructures. As technology changes, it becomes increasingly challenging for businesses of all types to keep their personal and customer’s information on the web secure. We will specifically talk about the OAuth security library for JAVA. The topics we will be covering are-
  • The need for security in modern day web applications
  • Authentication vs authorization
  • OAuth 2.0
  • Authentication- Spring Security
  • Basic Authentication practices to secure an API
  • Best practices for authorization and authentication
  • Modern authorization and authentication technologies

8 Web Services

There is no specific way to answer the question- “What is a web service?”. Essentially, web services include any software, application, or cloud technology that provides standardized web protocols (HTTP or HTTPS) to interoperate, communicate, and exchange data messaging through the internet. In the course we will talk about - SOAP and REST.  This will include
  • Web service and its advantages
  • How web services communicate
  • Web services vs APIs vs Microservices
  • SOAP (Simple Object Access Protocol)
  • Consuming a SOAP-based web service
  • The REST architectural style
  • RESTful Web Services and JAXRS
  • Using Postman to create and test RESTful APIs
  • Consuming a REST API
  • Creating a Spring Boot, Hibernate, MySQL RESTful API


Software deployment refers to the process of making the application work on a target device, whether it is a test server, production environment or a user's computer or mobile device. A lot can go wrong during software deployment. 
Understanding the different ways a manual deployment can fail and how automation can combat these failures will help reduce the risk of them occurring. Read on to learn about the top five manual deployment failures and how they could have been avoided with automation. Heroku is a very common software used for automation of deployment. In this week we will cover-
  • Deployment
  • Deploying spring boot applications
  • Implementing CORS
  • Hosting on Heroku

10 Introduction to other technologies

The software industry is ever growing. One such industry which has gained massive pace is the online streaming industry. One such software used in video streaming is Kafka. Apache Kafka is an open-source stream-processing software. In this week we will talk about

  • Kafka
  • Kafka with Spring Boot
  • Redis
  • Redis with Spring Boot
  • The Java Message Service (JMS) API 

11Connecting with a NoSQL DB

MongoDB is a document database with the scalability and flexibility that you want with the querying and indexing that you need. In this week we will cover
  • Connection with MongoDB
  • Mappings between Java objects and MongoDB documents
  • Similarities between Java data types and MongoDB data types
  • Adding the Data Access Object (DAO) classes
  • Create a database and collections using Java
  • Create a document in the database
  • Update the document in the database
  • Read from the database
  • Delete in the database

12Completing your eCommerce website

This is the final week of the course. Here you will be implementing further features of the eCommerce website. You will also learn to understand the existing application and refactor code

4. Design Patterns for Building Scalable Applications

1 Introduction to Scalable Systems

Scalability is generally a property of a system to handle more work by adding more resources to the system. This is vital for a website or an app as it also needs to improve and expand as the business or service it caters to, expands. The topics we will be covering in specific are-
  • Understanding scalable systems
  • Understanding scalable systems with respect to consistency
  • Understanding scalable systems with respect to availability 
  • Understanding scalable systems with respect to scalability

2 Distributed Systems

In a distributed system, the components that are located on different networked computers can communicate and coordinate their actions by passing messages to one another. The components interact with one another in order to achieve a common goal. The topics we will be covering will be-
  • Consistency in distributed systems
  • Laws of scalability
  • Performance vs. scalability

3Building Blocks of Scalable Architecture

Building blocks are the commonly used infrastructure, software, tools, frameworks and services that can be used to build a scalable system. This week, we will be talking about the building blocks of scalable architecture. Here, we will be discussing the commonly used infrastructure, software, tools, frameworks and services that can be used to build a scalable system. The topics discussed are-
  • Concepts required for designing a scalable architecture.
  • Caches
  • NoSQL database
  • Messaging queues
  • Load balancers

4 Introduction to Design Patterns

A design pattern provides a general reusable solution for the common problems occurring in software design. The patterns typically show relationships and interactions between classes or objects. That means a design pattern represents an idea, not a particular implementation. In the following 5 sessions, we will be discussing much more in depth on topics of Design Patterns. In this session, we will be discussing 
  • Introduction to design pattern
  • How design patterns help in solving problems along with some vintage examples
  • Simple design patterns concepts

5More on Design Patterns

Design patterns is a vast subject with a multitude of topics to be covered. Here, we will be talking about

Load balancer: The load balancer mechanism is a runtime agent with logic fundamentally based on the premise of employing horizontal scaling to balance a workload across two or more IT resources to increase performance and capacity beyond what a single IT resource can provide. Beyond simple division of labor algorithms, load balancers can perform a range of specialized runtime workload distribution functions that include

  • Scatter and gather: The scatter and gather pattern is a tree pattern with a root that distributes requests and leaves that process those requests. Here, the requests are simultaneously farmed out to all of the replicas in the system. Each replica does a small amount of processing and then returns a fraction of the result to the root. The root server then combines the various partial results together to form a single complete response to the request and then sends this request back out to the client.
  • Result cache: A result cache is an area of memory, either in the Shared Global Area (SGA) or client application memory, that stores the results of a database query or query block for reuse. The cached rows are shared across SQL statements and sessions unless they become stale.
  • Shared space: In this pattern, all workers monitor information from the shared space and contribute partial knowledge back to the blackboard. The information is continuously enriched until a solution is reached.
  • Pipe and filter: Here, all the workers are connected by pipes through which data flows. This pattern is also known as “Data Flow Programming”
  • Map Reduce: The model is used to target batch jobs where disk I/O is the major bottleneck. It uses a distributed file system so that disk I/O can be done in parallel. This pattern is used in many of Google's internal applications, as well as implemented in open source Hadoop parallel processing framework. I also find this pattern can be used in many many application design scenarios
  • Bulk Synchronous parallel: This model is based on lock-step execution across all workers. It is coordinated by a master. Each worker repeats the following steps until the exit condition is reached, when there are no more active workers.
    • Each worker read data from input queue
    • Each worker perform local processing based on the read data
    • Each worker push local result along its direct connection
  • Execution Orchestrator: This model is based on an intelligent scheduler / orchestrator to schedule ready-to-run tasks (based on a dependency graph) across clusters of workers.

6 Design Patterns | SN Architecture, Database Sharding & More

We delve deeper into design patterns. Here, we will be talking about
  • Shared-nothing architecture: A shared-nothing architecture (SN) is a distributed-computing architecture in which each update request is satisfied by a single node. The intent is to eliminate contention among nodes. Nodes do not share  memory or storage. One alternative architecture is shared everything, in which requests are satisfied by arbitrary combinations of nodes. This may introduce contention, as multiple nodes may seek to update the same data at the same time.
  • Database Sharding: A shard is a data store in its own right (it can contain the data for many entities of different types), running on a server acting as a storage node. You can scale the system out by adding further shards running on additional storage nodes. The biggest advantage of this method is that you can scale the system out by adding further shards running on additional storage nodes. A system can use off-the-shelf hardware rather than specialized and expensive computers for each storage node. You can reduce contention and improve performance by balancing the workload across shards. In the cloud, shards can be located physically close to the users that'll access the data.
  • Master-Slave Database: Master-slave replication enables data from one database server (the master) to be replicated to one or more other database servers (the slaves). The master logs the updates, which then ripple through to the slaves. The slave outputs a message stating that it has received the update successfully, thus allowing the sending of subsequent updates.
  • Optimistic locking: Optimistic locking is a way to manage concurrency in multi-user scenarios. It is used to avoid situations when one user overrides changes made by another user without even looking at them. Locking - optimistic locking in particular - is a way to do that.
  • Eventual consistency: Eventual consistency is a consistency model used in distributed computing to achieve high availability that informally guarantees that, if no new updates are made to a given data item, eventually all accesses to that item will return the last updated value.
  • Pooling and multiplexing: Pooling and Multiplexing is a software creational design pattern that uses a set of initialized objects kept ready to use – a "pool" – rather than allocating and destroying them on demand. A client of the pool will request an object from the pool and perform operations on the returned object. 

7 Design Patterns | Optimizing Data Flow & Storage

Moving from types of Design Patterns, in this session, the emphasis will be on methods and procedures used to optimize data flow and storage.
In this session we discuss:
  • Data distribution
  • Usage of compression before sending data over a network
  • Data archival
  • Intelligent load distribution and
  • Graceful service degradation

8 Design Patterns | More on Data Flow & Optimization

In this session we continue our dialogue on methods to optimize data flow and storage.  Topics include:
  • Autonomy
  • Failure tolerant collocation
  • Caching
  • Remoting
  • Queuing
  • Batch processing
  • Relaxing data constraint

9 Design Patterns | Sub & Saga Pattern

This is the sixth session of Design Pattern. Here, we will be talking about

    • The pub-sub pattern-  The Publisher/Subscriber pattern, or “PubSub” for short, is a pattern that allows us to create modules that can communicate with each other without depending directly on each other. It’s a great pattern for decoupling our application and is quite common in JavaScript.
    • Saga pattern- Saga pattern is a design pattern to handle system failures in long lived transaction by dividing the long lived transaction into a set of independent sub-transactions with compensating sub-transactions.

    10 Case Study of a Scaling a Relational Database

    Relational databases store and provide access to data points that are related to one another. Relational databases are vertically Scalable. When the load increases on the database then we scale the database by increasing server hardware power. In this week we will look into

    • Methods to scale a system
    • patterns to scale a system


    We will be throwing light on all the previous design assignments and also mention in detail if there are multiple methods to solve a single problem.


    Summary of the entire courses with mentions of areas to focus


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    1Who can take your course?

    Students who are currently pursuing their B.Tech/B.E/M.E/M.Tech in CSE, IT, ECE, EEE, Mechanical, and Civil Engineering can apply. Experienced professionals wanting to switch to full stack development and people with a gap in their employment, willing to get back to the industry can also apply.

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