Who will be the faculty for this Applied Generative AI course?

The Applied Generative AI course is delivered by a blend of industry experts and IITM Pravartak faculty. The core curriculum is led by experienced AI and data professionals, and IITM Pravartak Masterclasses are delivered by IITM faculty, covering the latest AI trends

What industries benefit the most from using Generative AI?

Generative AI has the potential to revolutionize various industries by enabling the creation of new and innovative content. From entertainment and media to healthcare and fashion, the applications of generative AI are vast and promising. Whether it is generating virtual characters in video games, synthesizing medical images, or creating personalized fashion designs, generative AI is poised to reshape the future of multiple industries and unlock new levels of creativity and efficiency.

Can I change my cohort after enrolling in the program?

Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort or have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.

Can I get an extension if I need more time to complete the program?

Yes. If your program access has expired and you still have pending assignments or projects, you can request either an extension of 30 days OR 3 months by paying a nominal fee. During this extension, you can access recorded sessions from the current cohort and complete your remaining learning requirements.

Are there any additional costs beyond the program fee?

While the curriculum mainly uses free and open source tools, it also includes showcases of a few paid tools that the learners can choose to pay for further exploration and their own use. All the concepts will be taught and demonstrated without the explicit need for any additional payment.

Applied Generative AI Course

In Collaboration With

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Program Duration
5 months
Learning Format
Live, Online, Interactive

Why Join this Program

IITM Pravartak Advantage
IITM Pravartak faculty masterclasses, program certificate & IIT Madras Research Park immersion

IITM Pravartak faculty masterclasses, program certificate & IIT Madras Research Park immersion
AI Impact Studio: Beyond GenAI
Exclusive live workshops on Claude, OpenClaw & emerging AI tools for the latest AI trends
Microsoft Edge: Cross-Domain
Develop Agentic AI skills for Marketing, Healthcare, and Finance through Microsoft Learn modules
Hands-on with AI Tools
Work with 29+ AI tools, including LangChain, LangGraph, CrewAI, Claude, Azure AI, and more

Corporate Training

Enroll your employees into this program, NOW!

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Applied Gen AI Course Overview

This Applied Generative AI course equips you with the skills to design, build, and deploy intelligent AI applications for real-world business challenges. Learn to develop AI agents, build RAG-powered applications, and orchestrate intelligent workflows using the latest AI technologies, including LLMs, MCP, Multi-Agent Systems, and LLMOps.

Key Features

Curriculum vetted by IITM Pravartak, Technology Innovation Hub of IIT Madras
90+ live demonstrations, coding exercises, guided practices, industry use cases, and hands-on labs
Gain practical experience with 29+ industry-leading tools, including Claude, OpenClaw, LangChain, LangGraph, CrewAI, AutoGen, Streamlit, FAISS, and Azure AI
Complete 10 real-world AI projects, including a capstone, across Tech, Finance, Healthcare & Banking
Opportunity to attend a 2-day campus immersion at IIT Madras Research Park
Attend masterclasses on AI innovation by IITM Pravartak faculty
Access official Microsoft learning content and earn Microsoft Learn Certificates in Azure AI and Agentic AI
Live workshop series on GenAI and Agentic AI covering emerging topics and tools (such as Claude, Openclaw and more) for builders and business professionals

Applied AI Course Advantage

Gain a competitive edge through practical learning in the dynamic field of Generative AI. Develop expertise in prompt engineering, LLMs, Agentic frameworks, multi-agent systems via MCP, and explore the intriguing realm of Applied Generative AI.

Program Certificate
Partnering with IITM Pravartak
- Earn a program certificate directly from IITM Pravartak Technologies Foundation within 90 days of program completion.
- Attend masterclasses led by IITM Pravartak faculty
- Become eligible for a 2-Day campus immersion at IIT Madras Research Park
Microsoft Azure Certificate
Collaborating with Microsoft
- Access course completion badges/certificates on the Microsoft Learn portal
- Learn and get Microsoft Learn badges for Agentic AI skills for Marketing, Healthcare, and Finance
- Develop Generative AI Apps and Agents with Azure and Foundry IQ

Program Details

From foundations to frontier: master LLMs, RAG, MCP, Agentic AI and LLMOps through hands-on projects using latest tools like OpenClaw, DALL-E, LangGraph and more. Build, deploy, and monitor production-ready AI applications and multi-agent systems that make you job-ready for the AI-first economy.

Learning Path

AGS AI: Program Induction
Kickstart your journey with our Applied Generative Specialization Program, covering all essential concepts in the generative AI domain. This unique Generative AI course is designed to elevate your career, providing comprehensive knowledge and skills to excel in the field.
Python Programming for Generative & Agentic Workflows.
- Python fundamentals, development environment setup, and best practices
- Data structures, file handling, exception handling, and object-oriented programming
- Functions, modules, and reusable Python workflows
- Data processing and automation for AI applications
- AI-assisted coding, debugging, and development using modern coding tools
Foundations of Generative AI and Agentic AI.
- Foundations of Generative AI and modern AI systems
- Large Language Models (LLMs), transformers, embeddings, and vector representations
- Prompt engineering and context engineering fundamentals
- Agentic AI concepts including reasoning, planning, memory, and tool use
- Enterprise applications of Generative AI and intelligent AI agents
GenAI Apps and Context Engineering - Advanced RAG, Fine-tuning & Multimodal AI.
- Advanced prompt engineering and context engineering strategies
- Retrieval-Augmented Generation (RAG) using vector databases and embeddings
- Fine-tuning techniques and LLM evaluation
- Building enterprise-ready AI applications with LangChain
- Developing multimodal AI applications using text, image, and document understanding
Model Context Protocols (MCP) & AI Tooling Frameworks for security and reliability.
- Foundations of Model Context Protocol (MCP)
- Building secure and reliable AI workflows with MCP
- Connecting AI applications with enterprise tools, APIs, and external systems
- Authentication, authorization, and secure AI integrations
- Best practices for scalable, reliable, and context-aware AI applications
Microsoft - Develop generative AI apps in Azure
Practice building Generative AI solutions on Azure from setup to evaluation. Cover AI environments, model deployment, Foundry SDK, prompt flow, RAG workflows, fine-tuning, responsible AI, and Azure AI Studio tools used to test and improve application performance.
Agent Engineering: Multi-Agent Systems & Orchestration with LangGraph & CrewAI.
- Design intelligent AI agents capable of reasoning, planning, and autonomous task execution
- Build multi-agent systems using LangGraph and CrewAI
- Agent memory, orchestration, and workflow management
- Develop collaborative AI agents for complex enterprise workflows
- Build production-ready AI agent applications
LLMOps: Deployment, Monitoring & Cloud Infrastructure (AWS).
- LLMOps lifecycle, deployment strategies, and AI infrastructure
- Monitoring, observability, evaluation, and optimization of AI applications
- Versioning, scalability, and production monitoring
- Cloud deployment using AWS services
- AI governance, security, and operational best practices
Shipping AI Products: Deployment, Risks & Governance.
- Deploy production-ready AI applications using modern deployment frameworks
- Monitor AI applications with observability, analytics, and feedback mechanisms
- Apply AI governance, responsible AI principles, and risk management practices
- Scale secure and reliable AI solutions for enterprise environments
Microsoft -Build knowledge-enhanced AI agents with Foundry IQ
Learn how to connect AI agents with enterprise knowledge using Foundry IQ. You'll explore how Retrieval Augmented Generation (RAG) solves the knowledge problem for AI agents, discover how Foundry IQ provides a shared knowledge platform that multiple agents can access, improve retrieval quality through data optimization, and configure agent instructions for consistent, cited responses.
Portfolio project in GenAI and Agentic AI.
- Design and build an end-to-end Generative AI and Agentic AI application
- Apply RAG, MCP, LangGraph, CrewAI, and orchestration frameworks to solve real-world problems
- Deploy a production-ready AI solution using industry best practices
- Build a portfolio-ready project showcasing practical AI engineering skills

Electives:

AGS AI: Academic Master Class
Attend online interactive masterclasses by faculty and/or alumni from premier institutes such as IITM and other IITs to gain valuable insights into the latest advancements in technology and techniques within the realm of Generative AI.
AI Impact Studio - Live workshops on AI trends, tools & breakthroughs
- Stay future-ready as AI evolves, with continuous learning beyond your core curriculum
- Build real AI systems with Claude, Claude Code, and agentic frameworks in the Builder Track
- Drive business outcomes — apply AI to decisions, productivity, and growth in the Business Track, no coding needed
- Learn directly from experts and practitioners solving real industry problems
- Turn knowledge into career capital — stronger projects, applied skills, better workplace impact
MS Learn: Agentic AI skills for marketing, healthcare and finance
- Access official Microsoft Learn content focused on Agentic AI
- Explore AI use cases across marketing, healthcare, and financial services
- Build role-specific AI solutions for business workflows and decision-making
- Earn Microsoft Learn badges while strengthening practical AI skills

Programme Syllabus

18+ Skills Covered

Agentic AI Frameworks
Intelligent Automation
AI Copilots
Autonomous AI Systems
Vector Databases
Enterprise Compliance
Agent Orchestration
Retrieval Augmented Generation
LLMOps Evaluation and Monitoring
Prompt Engineering
Tool Integration
Observability Setup
MultiAgent Systems
LLM Application Development
AI Workflow Design
AI Governance
Compliance and Security
Ethics and Transparency

29+ Tools Covered

Industry Projects

Project 1
HR Agent
Build an HR assistant for Nestlé that can read company policy PDFs and answer employee questions using vector search, OpenAI’s GPT model, and a Gradio interface.
Project 2
GTM Agent
Create a text-to-image tool that helps marketing teams generate campaign banners and posters using OpenAI, DALL·E, and Gradio UI.
Project 3
Storytelling Agent
Create an interactive storytelling experience with ChatGPT in which users can shape a story's direction without writing code or using additional platforms.
Project 4
News Genie
Build NewsGenie, an AI assistant that helps users check news, filter unreliable information, track updates, and get quick answers from one place.
Project 5
Analytics Agent
Use Python to analyze customer orders, classify products, identify high-value customers, and understand buying patterns across categories.
Project 6
Python Adventure Game
Build a text-based adventure game using Python and GitHub Copilot while practicing variables, lists, loops, functions, and conditional logic.
Project 7
MultiAgent Startup Accelerator
Create a multi-agent planner in which research, funding, and pitch agents collaborate to build a startup pitch deck outline.
Project 8
PDF and Web Searcher Agent
Develop an Agentic RAG system that routes questions to the right source, using PDF vector search or web search to deliver more grounded answers.
Project 9
Financial Advisor Agent
Design a prototype for a financial advisor AI assistant with user controls to preview, override, cancel, and understand agent-led actions.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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An Immersive Learning Experience

Learn from Industry Experts

Learn from instructors focused to equip you with hands-on skills and industry first curriculum.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Learn from Industry Experts

Learn from instructors focused to equip you with hands-on skills and industry first curriculum.

Flexi Learn

Mentoring session(s)

Learning Support

Program Advisors and Trainers

Program Advisors

Madhusudhanan Baskaran
IITM Pravartak - Principal Faculty
Dr. Baskaran, with 31 years of experience in AI/ML and a Ph.D. in AI, is a Principal Faculty at IITM Pravartak, has expertise spanning Deep Learning, NLP, IoT, and Generative AI, and noted contributions in multimodal AI systems, drone data analytics, and AI-driven healthcare solutions.
Armando Galeana
Founder and CEO at Ubhuru Technologies
A seasoned data science leader, with extensive experience in digital transformation. Throughout his career, Armando has leveraged his vast expertise in AI & ML to build infrastructure, create new lines of business and drive global implementations.
Raghav Goel
Generative AI & Data Science Consultant
A passionate and successful corporate trainer who has delivered 150+ training sessions for corporates in India, Middle East, USA, and South East Asia for corporate clients like Publicis Sapient, KPMG, Capgemini, Coforge, ITC, DXC, Huawei, and IBM.

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Program Trainers

Ajay K Singhal
10+ years of experience
Data, AI & Cloud Consultant
Anirban Paul
15+ years of experience
Visiting Faculty @IIT R; Data&AI Tech @Oracle
Darshan Ingle
15+ years of experience
Principal Consultant, Sr.Data Scientist

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Industry Trends

Enterprises are rapidly adopting Agentic AI to automate complex workflows and build intelligent systems that can reason, make decisions, and act with minimal human intervention, unlocking the next wave of AI-driven innovation.

$667.9 Bn

Expected Generative AI Market Size by 2030

Source: Fortune Business

24.4%

The global Gen AI market's projected annual growth rate from 2023-2030

Source: Statista

$4.4 Tn

Expected value added by Generative AI to the global economy annually

Source: Mckinsey

Companies Hiring

Batch Profile

The Executive Program in Applied Generative AI caters to working professionals across different industries. Learner diversity adds richness to class discussions and interactions.

Industry
The class consists of learners from excellent organizations and diverse industries
Industry
Information Technology - 43%Software Product - 13%Manufacturing - 20%Pharma & Healthcare - 7%BFSI - 7%Others - 10%
Companies

Learner Reviews

Admission Details

Application Process

The application process consists of three simple steps. Upon selection, candidates will receive an offer of admission, which they can secure by remitting the admission fee.

STEP 1

Submit Application

Complete the application by providing the required details about yourself.

STEP 2

Reserve Your Seat

Complete the program fee payment via the Secure Your Seat option.

STEP 3

Start Learning

Start your program on the designated cohort start date.

Eligibility Criteria

For admission to this Executive Program in Applied Generative AI, candidates should:

Have a bachelor's degree with an average of 50 percent or higher marks

Have a basic understanding of programming concepts and mathematics

Preferably, have 2+ years of professional experience

Apply Now

Program Benefits

Build, optimize, and deploy AI Agents and tools
Certificate from IITM Pravartak Technologies Foundation
Attend a 2-day campus immersion at IIT Madras Research Park
80+ hours of curriculum delivered in live online classes
Exposure to ChatGPT, Azure AI Studio, Copilot, & more

Applied Gen AI Course FAQs

Who will be the faculty for this Applied Generative AI course?
The Applied Generative AI course is delivered by a blend of industry experts and IITM Pravartak faculty. The core curriculum is led by experienced AI and data professionals, and IITM Pravartak Masterclasses are delivered by IITM faculty, covering the latest AI trends
What industries benefit the most from using Generative AI?
Generative AI has the potential to revolutionize various industries by enabling the creation of new and innovative content. From entertainment and media to healthcare and fashion, the applications of generative AI are vast and promising. Whether it is generating virtual characters in video games, synthesizing medical images, or creating personalized fashion designs, generative AI is poised to reshape the future of multiple industries and unlock new levels of creativity and efficiency.
Can I change my cohort after enrolling in the program?
Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort or have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.
Can I get an extension if I need more time to complete the program?
Yes. If your program access has expired and you still have pending assignments or projects, you can request either an extension of 30 days OR 3 months by paying a nominal fee. During this extension, you can access recorded sessions from the current cohort and complete your remaining learning requirements.
Are there any additional costs beyond the program fee?
While the curriculum mainly uses free and open source tools, it also includes showcases of a few paid tools that the learners can choose to pay for further exploration and their own use. All the concepts will be taught and demonstrated without the explicit need for any additional payment.