Agentic AI

First Draft

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Module 1

Python

  • Python Basic.
  • Data Structure
  • Functions and Modules.
  • OOPS.
  • File Handling and Exception Handling
  • REST API using FAST API

Duration: 36 Hrs

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Module 2

ML and DL Fundamentals

  • ML Pre-requisite.
  • DL Pre-requisite.
  • NLP
  • Sequence Model
  • Transformers
  • LLM

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Module 3

Prompt Engineering and LangChain

  • LangChain fundamentals.
  • Tools, functions.
  • Prompt Engineering.
  • Token Economics.
  • Ollama( Security of Company Data, resources or infra)
  • Hugging Face.
  • Grok API

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Module 4

RAG-Retrival Argumented Generation

  • Hallucinations
  • Vector databases (Chroma/FAISS)
  • indexing and querying embeddings at scale
  • RAG architecture
  • Document loading (PDF/DOCX/URL),
  • Document chunking strategies (fixed size, recursive, semantic)

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Module 5

Agentic AI,Frontend Development & Agent Deployment

  • Agent reasoning loop (ReAct).
  • Function/tool calling.
  • Agent decision making (retrieve vs use a tool vs answer directly).
  • Frontend Development.
  • Connecting frontend and Backend.
  • MCP
  • Agent Deployment.

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Module 6

Responsible AI

  • Foundation of Responsible AI
  • Bias and Fairness in LLMS
  • Hallucinations, Guardrails and Output Validation
  • Privacy, data Governance and security

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Module 6

Agenetic AI Course

NOModule Name
Module 1Python
Module 2ML and DL fundamentals
Module 3Prompt Engineering and Langchain
Module 4RAG-Retrival Argumented Generation
Module 5Agentic AI, Frontend Development and Deployment
Module 6Responsible AI