Agentic RAG & Knowledge Engineering
Agentic RAG & Knowledge Engineering enables AI agents to autonomously retrieve, reason, and update knowledge using structured data, vector databases, and intelligent workflows for real-world AI systems.
Level
Advanced
Duration
8 Weeks
Placement Client
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About Agentic RAG & Knowledge Engineering
Agentic RAG & Knowledge Engineering by TechPratham is a cutting-edge program designed to build intelligent AI systems that can autonomously retrieve, reason, and act on knowledge. The course focuses on advanced Retrieval-Augmented Generation (RAG), agent-based workflows, vector databases, and knowledge graph design. Learners gain hands-on experience in creating scalable, explainable, and production-ready AI agents capable of handling complex real-world tasks. With a strong emphasis on practical implementation, this program helps professionals master autonomous decision-making, multi-agent coordination, and enterprise-grade knowledge engineering using modern AI frameworks and tools.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
Interview Preparation
Comprehensive interview preparation with real-time scenario practice.
Agentic RAG & Knowledge Engineering
Course Curriculum
Foundations of Agentic AI & RAG
Understand how autonomous AI agents and Retrieval-Augmented Generation work together to solve complex real-world problems.
Knowledge Engineering Fundamentals
Learn how to structure, organize, and manage knowledge using ontologies, taxonomies, and schemas for intelligent systems.
Retrieval-Augmented Generation (RAG) Architecture
Explore modern RAG architectures, chunking strategies, embeddings, and retrieval optimization techniques.
Vector Databases & Semantic Search
Master vector databases and semantic search to enable fast, accurate, and scalable AI information retrieval.
Agentic RAG Workflows
Design autonomous agent workflows with tool-calling, memory, and multi-step reasoning capabilities.
Knowledge Graphs & Graph-Based RAG
Enhance RAG systems using knowledge graphs, entity relationships, and graph-powered contextual retrieval.
Agentic Ai Courses
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Additional Program Highlights
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Who Should Take Agentic RAG & Knowledge Engineering
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
<h1><strong>Agentic RAG & Knowledge Engineering</strong></h1>
Autonomous Enterprise Knowledge Assistant
Build an agentic RAG system that ingests enterprise documents, policies, and manuals to deliver accurate, explainable answers. The AI agent autonomously retrieves data, validates sources, and refines responses using structured knowledge and vector search.
Multi-Agent Research & Insight Generation System
Develop a multi-agent AI system where specialized agents collaborate to research topics, analyze sources, verify information, and generate structured insights. Each agent handles planning, retrieval, reasoning, and synthesis autonomously.
Knowledge Graph–Enhanced RAG Platform
Create an advanced RAG platform that integrates a knowledge graph with vector-based retrieval. The system uses entity relationships to improve context, reduce hallucinations, and enable complex, multi-hop question answering.
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
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Industry-Recognized Certification
India
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Noida Office
C-2, Sector-1, Noida, Uttar Pradesh - 201301
India
Hyderabad Office
LVS Arcade, 6th Floor, Hitech City, Hyderabad