Agentic AI & GenAI

Course Plan

Week 1: Introduction to Agentic AI
- Explore the fundamentals of Agentic AI and its role in problem-solving
Week 2: Phi Data: Agentic AI Framework
- Learn Phi Data framework for building Agentic AI systems
Week 3: LangChain
- Understand LangChain for creating complex AI applications with LLMs
Week 4: LCEL (LangChain Expression Language)
- Work with LangChain Expression Language for efficient LLM workflows
Week 5: LangServe for Efficient AI Deployment
- Deploy and scale AI applications using LangServe
Week 6: LangGraph
- Manage complex AI workflows with LangGraph
Week 7-8: Text Summarization with AWS Services
- Create text summarization apps using AWS Lambda and Bedrock
Week 9-10: Fine-Tuning Foundation Models on Custom Data
- Fine-tune foundation models using AWS SageMaker
Week 11-12: Project: AWS
- Build a Retrieval-Augmented Generation (RAG) system and chatbot on AWS
Week 13: GCP Basics & Introduction to Vertex AI
- Explore Google Cloud and Vertex AI for AI model deployment
Week 14-15: Gemini Models with Vertex AI and Google AI Studio
- Leverage Gemini models for advanced AI applications
Week 16-17: Project: GCP
- Implement RAG and build a chatbot using Gemini Pro on GCP
Week 18: Capstone Project I
- Design an Agentic AI system integrating multiple frameworks
Week 19: Capstone Project II
- Develop and deploy a GenAI conversational agent
Week 20: Final Review and Deployment
- Review projects, optimize, and deploy solutions