What roles will I be ready for after the program?

You'll be set up for some of the fastest-growing roles in the industry, including: GenAI Application Developer Prompt Engineer Generative AI Engineer Agentic AI Developer AI Architect AI Product Manager Principal GenAI Engineer Head of AI / Chief AI Officer

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Post Graduate Program in Generative AI and Agentic AI

Post Graduate Program in Generative AI and Agentic AI

Name: Post Graduate Program in Generative AI and Agentic AI
Item: Post Graduate Program in Generative AI and Agentic AI
Rating: 5
Author: Eric A Ojang

2129 Students 5 Ratings

Upskill yourself with the world's top-rated Generative AI certifications. This online PG Program in Generative AI and ML in collaboration with the Illinois Institute of Technology helps you learn essential skills in key areas such as machine learning, neural networks, deep learning, natural language processing, prompt engineering, and the latest advancements in AI technologies, with a special focus on architecting and mastering generative AI solutions.

Become The AI Engineer Every Team Is Hiring For

✔Develop deep expertise across RAG, MCP, multi-agent systems, and LLMOps
✔Ship production-grade AI with LangGraph, CrewAI, AutoGen, and more
✔Get ready for high-demand roles from GenAI Developer to AI Architect
✔Build a portfolio of real projects, including an end-to-end agentic capstone

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Next Batch: Starting on Saturday, 12 September

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Generative AI and Agentic AI Market Opportunities

$1.3T Market Size

Forecasted size of the generative AI market over the next ten years - Bloomberg

170M Opportunities

New job opportunities to be expected to be created by AI by 2030 - World Economic Forum

$193K Average Salary

The average annual salary for an agentic AI engineer today, reflecting strong market demand - Glassdoor

About the PGP in Generative AI and Agentic AI with Illinois Tech

As Chicago’s leading tech university, Illinois Tech stands out as a premier institution for technological and scientific innovation. Renowned for its groundbreaking research, advanced degree programs in STEM fields, and one-of-a-kind experiential learning, Illinois Tech ranks among the top universities in the nation for ensuring students graduate with the future-focused skills they need to be uniquely career-ready.

The Post Graduate Program in Generative AI and Agentic AI is a collaborative offering from Illinois Tech and Edureka, designed by industry experts and approved by Illinois Tech for the working professionals, who aspires to move beyond the traditional AI and master the nuances of Generative and Agentic AI.

This program will help you to become an accomplished AI professional having holistic experience of the domain.

Enroll in the PGP in Generative AI and Agentic AI by Edureka in Collaboration with Illinois Tech

6-month Online Post Graduate Certification
Get Illinois Tech Accredited Certification
Instructor-Led Live Online Classes
400+ Hours of Immersive Learning
9+ Projects and 15+ Industry Use Cases
100+ Hands-on Demos

Certificate

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The actual certificate might slightly differ from the sample certificate

On completion, you earn a post-graduate certificate issued by Illinois Tech — a globally recognized mark of capability in Generative and Agentic AI engineering, ready to share with employers and on LinkedIn.

Who Can Apply for this AI And ML Course?

Open to anyone with an undergraduate degree in any discipline.
A programming or technical background is helpful but not required.
Ideal for working professionals ready to build production-grade AI systems. 

Post Graduate Program in Generative AI and Agentic AI Alumni Work At

Generative AI and Agentic AI Program Review

I am currently undertaking a post graduate program in Generative AI and Machine Learning with Edureka, and it is an outstanding experience! The course is well-structured, starting from the basics and progressively covering advanced

I recently (Jan 2025) enrolled for the Post Graduate program in Generative AI & ML from Edureka. One of the pre-requisite was

I am Gurumurthy Balakrishnan, and I recently purchased the AIML from Edureka. I am writing to share my feedback on the support services provided.Firstly, I would like to express my heartfelt appreciation for the assistance I received

It was very structured LMS and very handy and easy to access and course material is good. It was good experience and Edureka has given me the entire classroom experience which is difficult to achieve in online training.

I joined Eudureka Training's center in April 2020, and still enjoying their variety of online training courses and certifications in diverse areas like in Gen AI & ML, DevOps, Data Science, Web development Cybersecurity and Business

Post Graduate Program in Generative AI and Agentic AI Curriculum

Module 1: Python Programming Essentials
Module 2: Advanced Data Structures, Asynchronous Patterns, and Logging
Module 3: Numerical Computing and Data Analysis with NumPy and Pandas
Module 4: Data Visualization with Matplotlib and Seaborn
Module 5: Building AI APIs and Backends with FastAPI
Module 6: Building AI Native Applications with Streamlit and Gradio
Module 7: AI Pair Programming Fundamentals with GitHub Copilot

Module 1: Generative AI and LLM Foundations
Module 2: Transformer Architectures and How LLMs Work
Module 3: Working with LLMs: APIs, SDKs, Parameters and Open-Source Models
Module 4: Prompt Engineering Essentials
Module 5: Advanced Prompting Techniques
Module 6: Context Engineering: Memory, Windowing and Retrieval
Module 7: Structured Outputs, Function Calling and Tool Use
Module 8: Prompt Optimization, Evaluation and DSPy

Module 1: Embeddings and Semantic Search
Module 2: Working with Vector Databases
Module 3: Developing RAG Systems
Module 4: Advanced RAG: Hybrid Retrieval, Re-ranking and Agentic RAG
Module 5: Building LLM Apps with LangChain and LlamaIndex
Module 6: Multimodal LLMs and Beyond
Module 7: Building and Deploying End-to-End GenAI Applications
Module 8: Securing LLM Applications: Guardrails, Safety and Prompt Injection Defense
Module 9: Evaluating GenAI Applications
Module 10: Fine-Tuning and PEFT

Module 1: Agentic AI Foundations and Agent Architectures
Module 2: LangChain Core — Chains, Memory and RAG
Module 3: LangChain Agents and Tool Use
Module 4: LangGraph — Stateful Workflows and Routing
Module 5: LangGraph — Cycles, Human-in-the-Loop and Persistence
Module 6: Multi-Agent Orchestration with CrewAI
Module 7: Multi-Agent Systems with Microsoft AutoGen
Module 8: Agentic RAG and GraphRAG for Agents
Module 9: Deep Agents — Reflection, Planning and Long-Term Memory

Module 1: Model Context Protocol — Architecture and Custom Servers
Module 2: MCP Ecosystem Integrations
Module 3: Agent Interoperability — A2A Protocol
Module 4: Agent Interoperability — ACP and ANP
Module 5: Evaluation and Tracing with LangSmith
Module 6: AI Guardrails and Safety — NeMo and Guardrails AI
Module 7: Fine-Tuning and Agent Performance Optimization
Module 8: Dockerizing and Deploying AI Agents

Module 1: Agentic Workflows with n8n
Module 2: Workflow Automation with Zapier
Module 3: Building with Make
Module 4: No-Code Agentic AI with Flowise

Module 1: Foundations of MLOps and LLMOps
Module 2: LLM Infrastructure, Tooling and the Open-Source Stack
Module 3: Deployment, Containerization and Scaling of LLM Systems
Module 4: Monitoring, Governance and Responsible AI in Production

Design, create and deploy end-to-end agentic AI applications

Module 1: Vibe Coding Fundamentals and AI Driven Development
Module 2: AI-Powered Development with Cursor AI
Module 3: AI-Native Software Development with Google Antigravity
Module 4: Accelerating Development with Amazon Q Developer

Module 1: NLP Foundations and Text Processing
Module 2: Feature Engineering and Text Representation
Module 3: Tokenization, Embeddings and Text Encoding
Module 4: Sentiment Analysis and Text Classification
Module 5: Neural Language Models and Sequence Modelling
Module 6: Transformers and the Path to Large Language Models

Module 1: Introduction to Claude and the Anthropic Model Family
Module 2: The Anthropic API — Messages, System Prompts and Tool Use
Module 3: Claude Code and Agentic Development with Claude
Module4: Claude with MCP

Tools, Languages and Frameworks

PGP in Generative AI and Agentic AI Projects and Use Cases

Learn by doing industry-relevant use cases, guided demos, and end-to-end projects. Gain the confidence to build and launch real-world AI and agentic applications from scratch.

Practice 30+ Essential Tools

Get Real-world Experience

Beginner

Intermediate

Advance

Capstone

Live Session

Parse, index, and query contracts, invoices, and reports for instant insights.

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Live Session

A structured-output LLM app that drafts, summarizes, and rewrites content with reliable, schema-validated responses.

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Live Session

An embeddings-and-vector-database app that retrieves the right documents by meaning, not just keywords.

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Live Session

A retrieval-augmented assistant that decides what to fetch and self-corrects its answers.

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Live Session

An n8n workflow that triggers, reasons with an LLM, and acts across your stack.

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Live Session

Expose your own tools and data to Claude through a purpose-built MCP server.

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Live Session

A CrewAI team that researches, writes, and reviews — agents delegating to specialists.

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Live Session

A safe, grounded support agent with PII redaction and input/output rails.

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Live Session

A Dockerized, multi-agent system shipped with CI/CD, LangSmith tracing, and drift monitoring in production.

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Capstone

A real-world, multi-agent application — retrieval, tool use, orchestration, guardrails, and deployment — designed and built leveraging the knowledge acquired in this program.

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Post Graduate Program in Generative AI and Agentic AI Admission Process

Enrolment Form

You will be required to provide personal, educational, and professional details. Once we receive your details, our Admissions Counselor will reach out to take your candidature further.

Interview and Offer Letter

A one-on-one chat with our SME to understand your basic knowledge, prior work experience, and your expectations from the course. After your interview assessment, you will receive an offer letter from us.

Payment & Batch Allotment

Based on your application form and interview performance, your final fee will be determined. After you make an upfront payment to confirm your batch, you will be given course credentials and your learning journey will begin!

Post Graduate Program in Generative AI and Agentic AI by Edureka in collaboration with Illinois Tech Fee

The program fee is

USD 2500

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Program Details

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Refund & Deferral

This program helps you stop just using AI tools and start building them. You'll begin this program with a solid Python and GenAI foundation, then work your way through prompting, context engineering, retrieval-augmented generation, and full LLM app development.

You'll then learn to build autonomous agents and orchestrate multi-agent systems with tools like LangGraph, CrewAI, and AutoGen, and integrate it off with MCP, guardrails, and LLMOps.

By the end of this program, you'll not only master the theoretical aspects of the next-generation AI system; you will equip yourself with capabilities to build and ship production-grade AI systems.

According to Glassdoor, the average Agentic AI Engineer salary is around $193K a year in the US, and demand for skilled AI engineers is outpacing the supply of skilled talent.

The program is fully online, taught through Virtual Instructor-led Live Sessions, coupled with multiple asynchronous courses, designed to further bolster your domain mastery.

The duration of the live sessions for this PGP in Generative AI and Agentic AI is six months, along with self-paced prerequisite and elective courses that you can complete at your own pace.

The curriculum is designed jointly by Edureka and Illinois Tech, and when you complete the program, you'll earn a globally recognized post-graduate certificate issued by Illinois Tech.

Every class is 100% live and led by an industry-expert instructor, along with asynchronous elective courses, providing you the opportunity to acquire holistic expertise of the domain.

You'll get access to the class recordings within 12 hours.

The classes are conducted on weekends, allowing you the flexibility to keep learning without stepping away from your weekday commitments.

You are expected to spend around 8–10 hours per week, including live sessions, labs, asynchronous content, and assignments.

This is a non-degree, non-diploma post-graduate program offered by Edureka and upon successful completion, you will be certified by Illinois Tech.

Generative AI is a type of artificial intelligence that creates brand-new content — text, images, code, audio, even video — by learning patterns from existing data.

Where older AI mostly classified or predicted things, generative models actually produce original outputs that look and feel like the data they learned from.

The program is fully online, with instructor-led live sessions plus asynchronous courses. It includes 400+ hours of immersive learning, 100+ hands-on labs, and 9+ projects.

Agentic AI takes things a step further. Instead of just generating content, these systems are built around autonomous agents that can plan, reason, use tools, and carry out multi-step tasks on their own.

They can take action, coordinate with other agents, and see complex workflows through from start to finish.

You’ll work on 9+ projects and industry use cases, including Document Intelligence with RAG, Semantic Search, Agentic RAG, a No-Code Automation Agent, Custom MCP Server with Claude, Multi-Agent Research Crew, Customer Support with Guardrails, and a multi-agent workflow with observability. The program culminates in an end-to-end Agentic AI capstone.

You'll be set up for some of the fastest-growing roles in the industry, including:

GenAI Application Developer
Prompt Engineer
Generative AI Engineer
Agentic AI Developer
AI Architect
AI Product Manager
Principal GenAI Engineer
Head of AI / Chief AI Officer

The curriculum covers Python, LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, MCP, RAG, vector databases, FastAPI, Streamlit, Gradio, n8n, Zapier, Make, Flowise, LangSmith, Docker, and LLMOps, among others.

As more companies are integrating AI into how they work, the people who can build these systems are in high demand.

This program gives you practical, portfolio-backed skills that employers are looking for right now — which opens doors to better roles and stronger pay.

Yes. The curriculum progresses from LLM and GenAI foundations to embeddings, vector databases, RAG, LangChain and LlamaIndex, multimodal LLMs, and building and deploying end-to-end GenAI applications.

Yes. The program covers function calling and tool use, LangChain agents, MCP integrations, agent interoperability, and building agents that use external tools and data.

Once you complete the program, you'll receive a post-graduate certificate issued by Illinois Tech — a credential that's recognized worldwide and signals you can genuinely build in Generative and Agentic AI.

Yes. The curriculum covers application development, evaluation, security and guardrails, deployment, containerization, scaling, monitoring, governance, and responsible AI through its LLMOps and advanced Agentic AI modules.

The program includes 400+ hours of immersive learning, 100+ hands-on labs, 9+ projects, and 15+ industry use cases. It also includes live, guided projects and an end-to-end Agentic AI capstone.

The certificate is valid for lifetime.

The best way is to build a strong foundation first, then specialize — and that's exactly how this program is structured. You'll go from Python and GenAI basics all the way to architecting autonomous, multi-agent systems, step by step.

Anyone with an undergraduate degree, in any field, is welcome to apply.

Absolutely. If you're genuinely curious about Generative and Agentic AI, you're welcome here. We work with learners from all kinds of backgrounds, and a self-paced prerequisite course, support, and guided learning help you find your feet.

The program suits any undergraduate degree holder, and a little familiarity with any programming language helps, but it's not essential; the prerequisite course covers the basics for you.

You start by sharing a few basic details and completing an application form. If you're shortlisted, you'll have a one-on-one interview with a subject-matter expert. Based on your profile and that conversation, selected candidates receive an offer letter, then confirm their batch and get started.

Just email us at admissions.pgp@edureka.co or call your admission counselor — we're happy to help.

A subject-matter expert or program faculty member will chat with you during the interview.

The program fee is ₹199,999 (Including GST) for Indian learners and $2500 for learners coming from other geographies.

Scholarships are awarded based on your profile, how do you perform in the interview, and your scholarship test results.

Yes. The program is available at an EMI starting from ₹12,500/month. Financing options are also available through Avanse Financial Services and Varthana, subject to their applicable eligibility and approval terms. Your admission counselor can guide you through the available options.

Yes. We've tied up with a few financing partners, so with a small down payment you can spread the cost through a loan.

You can contact Edureka Learner Support at learner.support@edureka.co or visit the Edureka Contact Us page for assistance with your learning experience, course-related queries, or support needs.

You can contact Edureka Learner Support at learner.support@edureka.co for assistance with your learning experience, course-related queries, or support needs.

You can withdraw and claim a refund at any time up to 48 hours after your cohort’s first live session.

Refunds are paid less a processing fee of ₹10,000 (US$150 for international participants). After that period, no refund is payable, but you may defer once to a later cohort.

Deferring: You can defer once to a later cohort free of charge at any time before your cohort begins. After it begins, one transfer is available in any three-month period, subject to seat availability, for ₹10,000 (US$150).

How to request:Write to learner.support@edureka.co from your registered email address. We will give you a decision within 7 working days, and process an approved refund within a further 7 working days. If you disagree with a decision, write to grievance@edureka.co and we will respond within 3 business days.

The terms that apply: The terms published here apply to your enrolment. If anything different has been described to you, please ask us to confirm it in writing before you enrol. Full terms are available on our Terms & Conditions page.

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Post Graduate Program in Generative AI and Agentic AI

Generative AI and Agentic AI Market Opportunities

About the PGP in Generative AI and Agentic AI with Illinois Tech

Enroll in the PGP in Generative AI and Agentic AI by Edureka in Collaboration with Illinois Tech

Certificate

Who Can Apply for this AI And ML Course?

Post Graduate Program in Generative AI and Agentic AI Alumni Work At

Generative AI and Agentic AI Program Review

Eric A Ojang

Aprajit Ghosh

Gurumurthy Balakrishnan

Asmita Dakore

Abdoulaye Barthelemy

Post Graduate Program in Generative AI and Agentic AI Curriculum

Modern Python & AI-Assisted Development

Generative AI, Prompting and Context Engineering

Building and Shipping LLM Applications

Autonomous AI Agents and Multi-Agent Orchestration

Advanced Agentic AI: MCP, Agent Interoperability, Guardrails, and Scaling

No-Code AI Workflow Automation

LLMOps: Production AI Systems Deployment and Monitoring

Capstone Project: Building Agentic AI System

Elective Course – Vibe Coding for Developers (Self-paced)

Elective Course – Natural Language Processing for the LLM Era (Self-paced)

Elective Course – Claude AI with MCP: Agentic Development on Anthropic Platform (Self-paced)

Like the Curriculum?

PGP in Generative AI and Agentic AI Projects and Use Cases

Document Intelligence with RAG

Prompt-Powered Content Assistant

Semantic Search Engine

Agentic RAG Knowledge Assistant

No-Code Automation Agent

Custom MCP Server with Claude

Multi-Agent Research Crew

Customer-Support with Guardrails

Multi-Agent Workflow with Observability

Design, Build and Deploy an End-to-End Agentic AI System