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GenAI-Engineering-Training-Curriculum.pdf
Master Class in Agentic AI Workflows-From LLMs to Agents
Module 1- GenAI & LLM Foundation
GenAI Training Session 1_ Introduction to GenAI
GenAI Training Session 2_ Prompt Engineering
GenAI Engineer Session 3_ Embedding and Semantic Search
Session-3: Embeddings (Colab notebook)
GenAI Engineer Session 4_ Vector Databases
Session 4: FAISSDB Vector Search1(Colab notebook)
Session 4: Vector Search ChromaDB(Colab notebook)
Session 4: VectorDB Pinecone V2(Colab notebook)
Module 2- RAG Applications
GenAI Engineer - Session 5_ RAG Architecture
Session 5: RAG with FAISS DB and gpt-4
Session 5: LangChain_with_Chat_and_Prompt
GenAI Engineer Session 6_ RAG with LangChain and Pinecone
Session 6: RAG with LangChain and PineCone (Colab Notebook)
GenAI Engineer Session 7_ RAG with No-Code platforms LangFlow
GenAI Engineer Session 8_ RAG with Amazon Bedrock
Module 3- Agentic AI
GenAI Engineer Session 9_ Intro to Agents Part1
GenAI Engineer Session 9_ Intro to Agents Part2
Session 9: Agents with Langchain (Colab Notebook)
GenAI Engineer Session 10_ Building Agents with LangChain & Agno frameworks
Session 10: 1 Research write article (1)
Session 10: Agentic AI with Agno (Colab Notebook)(2)
Session 10: Agentic AI with PHIDATA Agno (Colab Notebook)(3)
Session 10: Research write article (Colab Notebook)
GenAI Engineer Session 11_ Building agents with CrewAI
Session 11:CrewAI collaboration financial analysis(Colab Notebook)
Session 11: CrewAI customer support(Colab Notebook)
GenAI Engineer Session 12_ Deploying Agentic Apps with Fast API
Module 4- Observability & Capstone Project
GenAI Engineer Session 13_ Tracing, Monitoring and Evaluation with LangSmith and LangWatch (1)
Session 13: Colab Notebook 4 Evaluation with LangSmith Demo
Session 13: Colab Notebook 3 Tracing RAG with LangSmith
Gen AI Engineer Training Session 14_ MCP and A2A protocols for Agents
Session 15: GenAI Engineer Training_ Guardrails and Projects
Session 15: Guardrails for LLM(Colab Notebook)
Preview - Live Hands on Generative AI Engineer Training: Build, Deploy, and Scale
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