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Agentic RAG Training

Live Online & Classroom Enterprise Training

Agentic RAG is an advanced AI training program focused on building intelligent, autonomous AI agents that leverage Retrieval-Augmented Generation (RAG) to enhance reasoning, decision-making, and real-time knowledge access using Large Language Models (LLMs).

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  • Enterprise Reporting

  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

What is Agentic RAG Training about?

This course provides a comprehensive understanding of Agentic RAG architectures, combining AI agents with Retrieval-Augmented Generation to build context-aware, goal-driven, and multi-step reasoning systems. Participants will learn how to design, implement, and deploy intelligent AI agents capable of retrieving domain-specific knowledge, planning actions, interacting with tools, and delivering reliable outputs in enterprise environments.

What are the objectives of Agentic RAG Training ?

  • Understand the fundamentals of RAG and Agentic AI architectures
  • Design intelligent AI agents with planning and reasoning capabilities
  • Implement vector databases and semantic search systems
  • Integrate tools, APIs, and external data sources into agents
  • Deploy scalable Agentic RAG solutions in production

Who is Agentic RAG Training for?

  • AI/ML Engineers
  • Data Scientists
  • Software Developers
  • Solution Architects
  • AI Product Managers

What are the prerequisites for Agentic RAG Training?

Prerequisites:

  • Basic understanding of Python programming
  • Familiarity with Machine Learning concepts
  • Knowledge of APIs and REST services
  • Understanding of Large Language Models (LLMs)
  • Basic database knowledge (SQL/NoSQL)


Learning Path:

  • Foundations of Generative AI and LLMs
  • Introduction to Retrieval-Augmented Generation
  • Vector Databases and Embeddings
  • Building AI Agents with Tool Integration
  • Production Deployment and Optimization


Related Courses:

  • Advanced Prompt Engineering
  • Generative AI with Large Language Models
  • Vector Databases and Semantic Search
  • Building AI Applications with LangChain

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

  • Evolution of Generative AI
  • Transformer Architecture Basics
  • Large Language Models (LLMs) Overview
  • Limitations of Standalone LLMs
  • Introduction to Agentic Systems
  • What is RAG?
  • RAG Architecture Components
  • Embeddings and Semantic Search
  • Chunking Strategies
  • Handling Hallucinations
  • Introduction to Vector Databases
  • Popular Tools (FAISS, Pinecone, Weaviate)
  • Indexing and Similarity Search
  • Hybrid Search Techniques
  • Performance Optimization
  • What are AI Agents?
  • Planning and Reasoning Models
  • Memory Management in Agents
  • Multi-Step Task Execution
  • Tool and API Integration
  • Designing Workflow-Oriented Agents
  • Integrating External APIs
  • Document Ingestion Pipelines
  • Conversational RAG Systems
  • Evaluation Metrics
  • Multi-Agent Collaboration
  • Autonomous Task Execution
  • Self-Reflection and Feedback Loops
  • Guardrails and Safety Mechanisms
  • Human-in-the-Loop Systems
  • Scaling RAG Systems
  • Monitoring and Logging
  • Cost Optimization
  • Security and Compliance
  • CI/CD for AI Systems

Who is the instructor for this training?

The trainer for this Agentic RAG Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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