With IR 4.0 technology being rapidly adopted across all industries and trades, the job roles are also transitioning from the traditional ones. To quickly adapt to this transition in the job market and be ready to take up the available jobs, getting the right set of skills needed for these jobs is of utmost importance. The most ubiquitous new job roles are related to the technologies of Artificial Intelligence, Cloud Computing, and Web Design, hence the modules being delivered in this program are also related to these skills.

In a Total of  24 weeks, 100 hours of instructor led core technical training content, 20 hours of self-paced employability skills, and 40 hours of individualized review content is delivered as part of the program.

The core technical content breakdown has been delineated below.

Vertical 1: Artificial Intelligence

Introduction to AI and it's Fundamentals

Introduction to AI and understanding different AI terminologies
Understanding the evolution of AI and the AI winter cycle
The AI applications transforming various industries
Current AI market trends and opportunities
Chatbot fundamentals
Building and hosting a chatbot

Fundamentals of Linux

Introduction to Linux Kernel and vital role of Linux in application development
Working with Linux shell commands and different Linux text editors for Shell scripting
Managing Linux files, users and permissions

Data Analysis with Python

Data Science vs Data Analysis vs Data Analytics
Working with Python for Data Science
Python packages for Data Analytics applications

NumPy
Matplotlib
Pandas

Data Analysis use cases

Machine Learning Algorithms with Python

Introduction to Artificial Neural Networks (ANN), Deep Neural Networks (DNN) and Deep Learning (DL)
Understanding how DL helps solve classical Machine Learning limitations
Implementation of deep learning networks like CNN with TensorFlow
Deep learning use cases

AI with Deep Learning Frameworks

Perceptron model and Learning rule
Deep neural networks and its components
Understanding how DL helps solve classical Machine Learning limitations
Implementation of deep learning networks like CNN with TensorFlow
Deep learning use cases

Engagement Activities/Bootcamps:

Computer vision applications with OpenCV and OpenVINO toolkit

Introduction to computer vision and its applications
Developing computer vision applications with OpenCV

Computer vision use cases
Deep learning model optimization and deployment for inference at the edge with OpenVINO toolkit

2. Natural Language processing with Python

Introduction to NLP
NLP applications, market trends and opportunities

Classification of NLP
Working with python packages to develop NLP applications
NLP use cases

3. Text based Chatbot development

Introduction to chatbots

Chatbot applications, market trends and opportunities
Understanding chatbot architecture
Development and deployment of text based chatbots

Vertical 2: Cloud Computing

Cloud Computing Concepts: A quick dive

- Cloud computing evolution, challenges and opportunities 
- Cloud computing fundaments and classifications  
- Characteristics of Cloud Computing 
- Cloud Deployment Model 
- Cloud Service Delivery Model 
- Cloud Global Infrastructures

Insights into Azure Cloud Environment 

Azure Core Services and its classifications 
Microsoft Azure Cognitive Services 
Building applications with azure cognitive services

Building and Managing Cloud Application with Microsoft Azure 

- Customer Managed IaaS 
- Fully Managed PaaS 
- Serverless Applications (Code-Only) 
- Introduction to Containers 
- Container vs VM 
- Docker Containers 
- Container Images and Repositories 
- Container Orchestration using Kubernetes

Artificial Intelligence- the Azure Way of doing it! 

Challenges related to AI implementations 
Solutions from Microsoft Azure for AI implementation 
Computation Made Easy 
Analytics is more fun 
Data Management is a game 
Automation at its best

Vertical 3: Web Design and Digital Marketing

Understanding Web Application Architecture

Web application components and classification of web applications
HTML for web Layout
CSS for Page Design
JS for Client-side scripting

Handling the Web Data at Backend

- Understanding Server-Side Scripting
- Web application dev with PHP, Syntax, semantics, data types, variables, flow control and loop control
- Handling Client-side data using PHP
- Managing Sessions at Server and Cookies at Client
- Creating sessions, session data, reading and writing cookies at client side

Connecting End-to-End

- - Introduction to relational databases- MySQL
  - Introducing relational databases, need for database, persistent storage benefits, MySQL basics, commands
  - Handling databases
  - CRUD operations using SQL, DDL and DML
  - Managing data in databases using PHP
  - Connecting to MySQL DB using PHP, performing CRUD operations using PHP, persistent storage of front-end data to MySQL DB

Modern Web Development using ReactJS and JQuery

ReactJS framework, develop using React components and single page applications
JQuery for web application development, using component properties and dynamic handling of pages

Getting Started with Digital Marketing and its Applications

Quick dive into digital marketing fundamentals
Digital marketing trends, challenges and opportunities, web elements involved, scope in web development
Applying the DM concepts in web
Search Engine Optimization (SEO) for websites/ webapps, connecting through social media, routing and landing to marketing strategic locations on web

Tech Saksham Foundation Course Brief

To summarize the program is delivered as follows:

S.No.	Content Type	Duration
1.	Theoretical discussion	20 hours approx.
2.	Practical/hands-on	40 hours approx.
3.	Unit Assessment and Hands-on Evaluation	05 hours
4.	Self-paced learning (SPL)	35 hours
5.	Soft-Skills	20 Hours
	Total Duration	120 hours Approx.

OVERVIEW OF FOUNDATION COURSE

TSP for the Foundation course will be offered to the second and pre-final students pursuing engineering and other technical degree courses. This course will cover the pre-requisites required for any of the streams (Artificial Intelligence, Cloud Computing, Full Stack Web Development) of the TechSaksham program for the final year students.

Program Vertical	Foundation Course
Core topics covered for students (in detail) and briefly for teachers	Basics of working with Linux Operating System Fundamentals of Databases Basic HTML, CSS and JS Core JAVA (J2SE) Programming and Coding Skills Knowledge of Internet, Domains, and Networking Basics of Cloud Computing
Pre-Requisites	Basics of working with Windows

PROGRAM CONTENT FOR STUDENTS

Broad Agenda (Students): Foundation Course

Duration: 60 Hours

S.No.	Description	Hours
1	Linux Operating System Introduction of Operating System Getting started with Open-Source OS Linux Kernel and its distributions Installation of Ubuntu Linux Commands Shell Scripting, SSH and SCP commands in Linux Working on different text editors: nano, vi Managing Linux Files and User Permissions	8
2	Introduction of Database Management System Why use a database DBMS, its characteristics and Applications Advantages and Disadvantages of DBMS Introduction to Relational Database – MySQL Structure of RDBMS and Terminology Manipulating and Querying Data: Introduction to MySQL, SQL Commands, DDL, DML, DQL, CRUD operations	6
3	Building Front Face for Web Understanding the WEB: Internet, Web page, Website, Web applications HTML for web Layout: HTML Basic Components, List, Tables, Graphics, Multi-Media, Forms, Text formatting, Block components CSS for Page Design: CSS design principles, property:values, dynamic CSS3, box model, design layout controls JS for Client-side scripting: Handling HTML Events, Animations, Reading element state & data, form handling and validations. Handling Cookies and Session Data Building Dynamic web pages using HTML 5, CSS3 and JS	14
4	Introduction to JAVA Programming Language Understanding OOP concepts, JAVA Features, JVM, JRE, and JDK Java Fundamentals: Java Variables, Data Types, Java Operators, Input and Output, Java Expressions & Blocks, Comment Java Control Statements: If…else, Switch Statement, For Loop, For-each Loop, While Loop, Break Statement, Continue Statement Java Arrays: Introduction to Arrays, Single Dimensional Arrays, Multidimensional Array Java Class and Objects: Introduction to Class and Object, Methods, Constructor, Strings, Access Modifiers, this keyword, static keyword Important Topics of OOPS Concept: Method Overriding & Method Overloading, Abstract Class, Interfaces, Package, super Keyword Java Exception Handling: Java Errors and Exceptions, try…catch block, Multiple catch block, finally block, throw and throws Keyword Additional Topics: Scanner Class, Wrapper Class, Type Casting, Command Line Arguments, Recursion	25
5	Understanding the Azure Cloud: Introduction to Azure Portal Cloud Services and Deployment Models Getting Started with an Azure Cloud: Exploring the Azure Service offerings. Fundamentals of Networking and Networking Protocols Creating Custom VPC in Azure and add subnets to created VPC and deploy VM in subnets and set up communication between the VMs. Market and JOB trends in Cloud	7

Suggested Topics for Modular Engagement Activities/Bootcamps:

[Hands-on session for 2-3 hours to provide either revision of foundation skills or provide add-on advance skills related to track]

Version Controlling with Git and GitHub
Learn Python: Python Programming Basics
Digital Marketing for Business
Green Cloud Computing
Edge Computing

Curriculum