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