• Program Duration

    5 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    From Models to Working Systems

    Create production-ready LLM apps, RAG, and agent systems with built-in governance

    Create production-ready LLM apps, RAG, and agent systems with built-in governance

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    Multi Domain Hands on Projects

    Build AI applications across sales, marketing, E-commerce and financial services

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    Learn the Agentic Stack

    Master popular AI tools including LangChain, n8n, Openclaw, Claude, CrewAI, AutoGen and more

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    Earn an Elite Certificate

    Program completion certificate from EICTA Consortium, issued by E&ICT Academy, IIT Kanpur

Corporate Training

Enroll your employees into this program, NOW!

Program Overview

This program equips learners to build next-generation AI applications through Generative AI, Agentic AI, LLM development, workflow automation, and enterprise integrations. Through hands-on projects and real-world use cases, participants learn to design, deploy, and scale intelligent AI solutions that drive business impact.

Key Features

  • Explore end-to-end AI application development, from prompting and prototyping to testing and deployment
  • Master popular tools such as ChatGPT, OpenAI, LangChain, LangGraph, CrewAI, AutoGen, Streamlit, FAISS, and Azure AI
  • Live, industry-aligned learning in small cohorts from top professionals
  • Latest trends in industry and research covered through AI Impact studio and IIT faculty masterclasses
  • Build GenAI applications, RAG-based workflows, AI copilots, and agent-led systems for practical business needs
  • Hands-on learning through guided labs, real-world use cases and portfolio worthy projects
  • Learn how autonomous agents, multi-agent systems, and orchestration frameworks come together in real work
  • Gain exposure to LLMOps, AI governance, and responsible deployment practices for safer AI systems
  • Earn a program completion certificate from EICTA Consortium, issued by E&ICT Academy, IIT Kanpur

GenAI and Agentic AI Advantage

Build beyond basic AI prompts through practical training in prompt engineering, LLMs, RAG workflows, agentic frameworks, multi-agent systems with MCP, and applied GenAI systems for practical business use cases.

  • Program Certificate

    Earn a Career-Focused Certificate

    • Earn a program completion certificate from EICTA Consortium, issued by E&ICT Academy, IIT Kanpur
    • Attend IIT Kanpur faculty-led masterclass series on recent AI developments and emerging technologies
    • Access in-person campus immersion at IIT Kanpur
  • Industry Certificate

    Partnership With Microsoft

    • Microsoft Learn badges on the MS Learn portal for Microsoft courses
    • Learn to build AI agents using Azure AI services and frameworks

Program Details

The Professional Certificate Course in GenAI and Agentic AI is a live online program designed to build practical AI skills. Through expert-led sessions, hands-on projects, and real-world use cases, learners gain experience in developing and deploying modern AI solutions.

Learning Path

  • Begin with an overview of the program structure, curriculum roadmap, and expected learning outcomes. The session introduces the key concepts covered throughout the program and examines the shift from traditional software systems to AI-native applications, intelligent agents, and autonomous workflows. You will also explore how enterprises are leveraging AI to transform products, operations, and decision-making at scale.

  • • Python fundamentals and development environment setup

    • Data structures, file operations, and exception handling

    • Functions, OOP, and modular programming concepts

    • AI-assisted coding, debugging, and code optimization

    • Practical use of AI coding tools for rapid development

  • • Foundations of modern AI systems

    • Transformers and Large Language Models

    • Agentic AI and intelligent agents

    • AI agents in the GenAI technology stack

    • Building blocks of autonomous AI applications

  • • Advanced prompt engineering techniques

    • LLM fine-tuning and evaluation

    • Retrieval-Augmented Generation (RAG)

    • Building RAG applications with LangChain

    • Developing advanced LLM-powered applications

  • • Foundations of Model Context Protocol (MCP)

    • MCP architecture and tool integration

    • Tool registration, hosting, and discovery

    • Building context-aware AI agents

    • Authentication, security, and risk management

  • 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.

  • • Multi-agent systems and collaboration patterns

    • Graph RAG and graph-based retrieval agents

    • Agent design with CrewAI

    • State, memory, and workflow orchestration

    • Multi-agent applications with LangGraph

  • • LLMOps foundations and development workflows

    • AI deployment strategies and cloud infrastructure

    • Monitoring, optimization, and scaling of AI systems

    • Security, governance, and operational best practices

    • AWS-powered AI deployment and automation

    • Deploy and orchestrate AI agents using modern hosting platforms, n8n workflows, and production-ready operational patterns.
    • Implement event logging, analytics, feedback loops, and end-to-end integrations to monitor, improve, and showcase AI products in production.
    • Foundations of AI governance and responsible AI
    • Fairness, bias mitigation, and privacy protection
    • Transparency, accountability, and human oversight
    • AI risk management and regulatory compliance
    • Building enterprise AI governance frameworks 
  • 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.

  • Put your learning into a full-scale AI product project. Design a 4-agent market research and GTM framework using n8n, CrewAI, and MCP integration, while connecting agent performance data with Lean Canvas planning, pricing models, acquisition strategy, and real-world chatbot deployment.

  • Join an interactive online Masterclass delivered by eminent IIT Kanpur faculty. Explore recent developments, emerging technologies, and academic perspectives through expert-led discussions that connect advanced concepts with real-world relevance.

Electives:

    • 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
  • Learn to architect and govern AI agent systems by mapping agent responsibilities across the SDLC, defining structured tasks with clear inputs, outputs, and success criteria, and separating planning, reasoning, and execution for reliable, inspectable workflows. Master production-ready practices including PR-based governance, workflow orchestration, cross-job coordination, observability, tool governance, secrets management, and reliability patterns for safe agent operations.

18+ Skills Covered

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

29+ Tools Covered

MS-AGI-Visual-Studio-CodeMS-AGI-JupyterMS-AGI-Google-ColabMS-AGI-Github-CopilotMS-AGI-LovableMS-AGI-EmergentMS-AGI-ChatGPTMS-AGI-CrewAIMS-AGI-LangChainMS-AGI-LangGraphMS-AGI-AutoGPTMS-AGI-MetaGPTMS-AGI-DockerMS-AGI-PhoenixMS-AGI-LangSmithMS-AGI-SlackMS-AGI-AsanaMS-AGI-Postgre-SQLMS-AGI-MCPMS-AGI-MiroMS-AGI-MongoDBMS-AGI-n8nMS-AGI-PineconeMS-AGI-AutoGenMS-AGI-FastMCPMS-AGI-FigmaMS-AGI-GitHubAG_OpenClawspj_claude

Projects Covered

  • 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

    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 4

    Analytics Agent

    Use Python to analyze customer orders, classify products, identify high-value customers, and understand buying patterns across categories.

  • Project 5

    Python Adventure Game

    Build a text-based adventure game using Python and GitHub Copilot while practicing variables, lists, loops, functions, and conditional logic.

  • Project 6

    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 7

    Financial Advisor Agent

    Design a prototype for a financial advisor AI assistant with user controls to preview, override, cancel, and understand agent-led actions.

  • Project 8

    MultiAgent Startup Accelerator

    Create a multi-agent planner in which research, funding, and pitch agents collaborate to build a startup pitch deck outline.

  • Project 9

    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.

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

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An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

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.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

Program Trainers

  • Darshan Ingle

    Darshan Ingle

    15+ years of experience

    Principal Consultant, Sr.Data Scientist

  • Alok Yadav

    Alok Yadav

    15+ years of experience

    Data scientist- Kendryll, Ex SWE - Darwinbox

  • Mohamed Rasik

    Mohamed Rasik

    10+ years of experience

    Lead GenAI Expert, Thermo Fisher Scientific

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Agentic AI market trend

Demand for Agentic AI talent is outpacing supply as enterprises race to deploy autonomous AI systems. (Source – The Economic Times)

Job Icon13 Lakh+

AI jobs added in 3 years spanning GenAI, agents & workflows

Source: LinkedIn EconGraph
Job Icon62%

Of organizations are experimenting with or scaling AI agents

Source: McKinsey
Job Icon33%

Of enterprise software applications expected to include Agentic AI by 2028

Source: Gartner

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Software Product - 34%Information Technology - 26%Healthcare & Pharma - 11%Banking & Finance - 9%Manufacturing - 5%Others - 15%
    Companies
    Facebook
    Apple
    Nvidia
    BCG
    Bosch
    KPMG
    Microsoft
    Deloitte
    Netflix_210425
    Amazon
    Google

Admission Details

Application Process

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.

STEP 1

Submit Application

Tell us a bit about yourself and why you want to do this program

STEP 2

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

Selected candidates can begin the program within 1-2 weeks

Eligibility Criteria

For admission to this GenAI and Agentic AI course:

2+ years of work experience preferred
A bachelor's degree with an average of 50% or higher marks
Basic understanding of programming concepts and mathematics

Apply Now

Program Benefits

  • Learn GenAI and RAG to Agentic AI, LLMOps and Deployment
  • Master 27+ tools including Langchain, n8n, Openclaw, Claude
  • IIT Kanpur campus immersion and faculty masterclasses
  • Multi-domain exposure with 10+ projects in focused cohorts
  • Access AI Impact Studio covering upcoming trends and tools

FAQs

  • Are there any additional costs beyond the program fee?

    The curriculum includes showcases of a few paid tools that the learners can choose to pay for further exploration and their own use. The AI Impact Studio workshop uses the latest Claude tools, so learners are required to obtain their own paid Claude subscription.

  • What is part of the campus immersion at IIT Kanpur?

    The campus immersion at IIT Kanpur is an exclusive learning experience for eligible learners(learners will need to pay additional for their travel and accommodation). It offers exposure to real-world applications of AI-driven automation through faculty-led sessions.

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  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.