Advanced Certification in Generative AI, AI Agents & Agentic AI

About Course

4-month, live instructor-led program designed to equip learners with cutting-edge skills in Generative AI, LLM-based AI Agents, and autonomous Agentic systems. Participants will build real-world applications using tools like ChatGPT, LangChain, AutoGPT, and CrewAI—mastering capabilities such as reasoning, planning, memory, and tool integration. The course includes hands-on projects, a capstone, GitHub portfolio creation, and 100% placement assistance. Ideal for professionals, students, and entrepreneurs aiming to lead the future of AI without needing deep coding expertise.

A fully functional AI project demonstrating your understanding of GenAI, AI agents, or agentic systems—tailored to a real-world use case.
Record or present a walkthrough of your capstone project, explaining how it works, the tools used, and the problem it solves.
Upload your project code, documentation, and use cases to GitHub—showcasing your skills to recruiters and potential clients.
Receive an industry-recognized certificate from KAE Education & IBM, graded based on your performance, project quality, and completion.

Course Content

Module 1: Foundations of Generative AI

What is Generative AI?
Evolution of AI: Symbolic → Machine Learning → Deep Learning → GenAI
Key Concepts: Transformers, Attention Mechanism, Diffusion Models
Overview of LLMs: GPT, Claude, Gemini, Mistral
Prompt Engineering: Basics & Techniques

Module 2: Deep Dive into Language Models

Module 3: Image, Audio & Multimodal Generative Models

Module 4: Building AI Agents (LLM-Powered Agents)

Module 5: Agentic AI Systems – Autonomy & Decision Making

Module 6: Tool Use, Plugins & APIs for Agents

Module 7: Use Cases & Industry Applications

Module 8: Ethics, Safety & Governance

Class Recordings

About Course

What Will You Learn?

Course Content

Module 1: Foundations of Generative AI

What is Generative AI?

Evolution of AI: Symbolic → Machine Learning → Deep Learning → GenAI

Key Concepts: Transformers, Attention Mechanism, Diffusion Models

Overview of LLMs: GPT, Claude, Gemini, Mistral

Prompt Engineering: Basics & Techniques

Module 2: Deep Dive into Language Models

Understanding GPT Architecture

Fine-tuning vs. Prompt-tuning

LLM Evaluation and Biases

Using APIs: OpenAI, Anthropic, Cohere, HuggingFace

Embeddings & Vector Databases (Pinecone, FAISS, ChromaDB)

Module 3: Image, Audio & Multimodal Generative Models

GANs, VAEs & Diffusion Models

Text-to-Image (Stable Diffusion, DALL·E)

Voice & Music Generation (ElevenLabs, Suno AI)

Video & Multimodal AI (Sora, Runway, Pika Labs)

Module 4: Building AI Agents (LLM-Powered Agents)

What is an AI Agent?

LangChain Basics: Chains, Tools, Memory

ReAct (Reasoning + Action) Framework

Multi-Agent Systems (AutoGen, CrewAI, OpenAgents)

Vector Search + Tool Use + Planning

Module 5: Agentic AI Systems – Autonomy & Decision Making

What is Agentic AI?

Decision Models: Reflexive, Deliberative, Hybrid

Long-Term Memory for Agents

Planning with LLMs: BabyAGI, AutoGPT

Simulating Real-World Behavior with Agentic Models

Module 6: Tool Use, Plugins & APIs for Agents

Calling APIs within LLM Agents

Plugin Integration (ChatGPT Plugins, LangChain Tools)

Function Calling (OpenAI Function Calling / Tools API)

Web Scraping & Browsing Tools for AI Agents

Open Source Agentic Frameworks

Module 7: Use Cases & Industry Applications

Personal Assistants

AI Sales Agents

Customer Support Agents

Financial Advisory Agents

Education & Career Counseling Agents

Agentic Product Design & Prototyping

Module 8: Ethics, Safety & Governance

Risks of Autonomous Agents

Alignment, Hallucination, Jailbreaking

Guardrails & Human-in-the-loop (HITL) Design

Responsible AI Practices

Regulatory Landscape (EU AI Act, India AI Mission)

Class Recordings

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