Course Details
Learning Outcomes
What you'll achieve after completing this course
- Build RAG systems
- Develop AI agents
- Implement GenAI in production
- Handle real-world AI challenges
- Create AI-powered applications
Course Curriculum
Comprehensive curriculum designed by industry experts
Module 1: Everything in GenAI Foundations
All starter content included
Module 2: Advanced Prompt Engineering
Prompt patterns & anti-patterns
Structured prompts for accuracy & control
Chain-of-thought prompting
Few-shot and zero-shot learning
Evaluation & hallucination reduction
Module 3: Retrieval-Augmented Generation (RAG)
Vector databases & embeddings
RAG architecture patterns
Building RAG systems
When RAG fails and how to fix it
RAG optimization techniques
Module 4: Agentic AI Systems
AI agents vs workflows
Tool-using agents & orchestration
LangChain and agent frameworks
Multi-agent systems
Enterprise agent use cases
Module 5: Hands-On Labs & Mini Project
Build a RAG application
Create an AI agent
Integrate vector databases
Industry use case implementation
Mini project presentation
Meet Your Instructor
Learn from industry experts with real-world experience
DR
Dr. Anand Krishnan
10+ years Experience
AI Research Scientist with expertise in LLMs, NLP, and generative AI applications. 10+ years in AI/ML research and industry.
Course Details
Limited seats available
What's Included
- Live instructor-led sessions
- Lifetime access to materials
- Real-world projects
- Certificate of completion
- Career support & mentoring