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.
Agentic Ai
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.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 Weeks
Placement Client
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About Agentic RAG & Knowledge Engineering
Training Plan
01
About trainer
Working professional who is carrying more then 10 years of industry experience.
02
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
03
e-Book
E-book provided by TechPratham. All rights reserved.
04
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
05
Video Recording
Daily Session would be recorded and shared to the candidate.
06
Projects
Live projects will be provided for hands-on practice.
07
Resume Building
Expert-guided resume building with industry-focused content support.
08
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.
Introduction to Agentic AI systems
Evolution from traditional RAG to Agentic RAG
Core components: LLMs, tools, memory, planning
Use cases in enterprise AI applications
Knowledge Engineering Fundamentals
Learn how to structure, organize, and manage knowledge using ontologies, taxonomies, and schemas for intelligent systems.
Structured vs unstructured knowledge
Knowledge representation techniques
Ontologies, taxonomies, and schemas
Knowledge lifecycle management
Retrieval-Augmented Generation (RAG) Architecture
Explore modern RAG architectures, chunking strategies, embeddings, and retrieval optimization techniques.
RAG pipelines and design patterns
Chunking strategies and embedding techniques
Dense, sparse, and hybrid retrieval
Reranking and relevance optimization
Vector Databases & Semantic Search
Master vector databases and semantic search to enable fast, accurate, and scalable AI information retrieval.
Vector embeddings and similarity search
Vector databases (FAISS, Pinecone, Weaviate, Chroma)
Indexing, filtering, and metadata handling
Performance tuning for large-scale retrieval
Agentic RAG Workflows
Design autonomous agent workflows with tool-calling, memory, and multi-step reasoning capabilities.
Autonomous agent design and orchestration
Tool-calling and function execution
Memory management and long-term context
Multi-step reasoning and planning agents
Knowledge Graphs & Graph-Based RAG
Enhance RAG systems using knowledge graphs, entity relationships, and graph-powered contextual retrieval.
Knowledge graphs for contextual intelligence
Entity extraction and relationship mapping
Graph-enhanced RAG pipelines
Querying with SPARQL and graph traversal
Agentic Ai Courses
No related courses found
Additional Program Highlights
Comprehensive study materials and resources
HD
Professional resume building session
HD
Master your interview skills
HD
Real-world project demonstrations
HD
Upcoming Batches
Can't find a batch you were looking for?
Who Should Enroll in this Agentic RAG & Knowledge Engineering Program
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
Job Roles After Completing Agentic RAG & Knowledge Engineering Program
AI Automation Architect
RAG Implementation Consultant
Enterprise AI Engineer
AI Orchestration Architect
LLM Solutions Architect
Multi-Agent Systems Engineer
Knowledge Engineering Specialist
Agentic RAG Engineer
AI Automation Architect
RAG Implementation Consultant
Enterprise AI Engineer
Key Projects
Agentic RAG & Knowledge Engineering
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Workday – Workday Smart Knowledge RAG
Scenario: Agentic RAG system unifies HR, finance and policy data, enabling contextual answers, governed retrieval, and continuous learning across enterprise knowledge secured.
Live Work:
- Built RAG over HCM and Finance data
- Designed agent based query routing
- Applied role based data governance
Outcome: Accurate policy answers with audit control
Microsoft – Microsoft Graph RAG Agent
Scenario: Agentic RAG platform connects emails, files and chats, building trusted knowledge graphs that deliver precise answers, audit trails, and adaptive reasoning teams.
Live Work:
- Integrated Outlook and SharePoint data
- Created multi agent reasoning flow
- Implemented traceable answer sources
Outcome: Faster enterprise search with trust
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Salesforce – Salesforce Insight RAG
Scenario: Agentic RAG engine merges CRM data, cases and documents, providing real time insights, explainable answers, and smarter actions across sales service flows.
Live Work:
- Connected cases, leads and KB data
- Built explainable answer generation
- Enabled agent driven next best action
Outcome: Improved deal closure and case speed
UiPath – UiPath Cognitive RAG Bot
Scenario: Agentic RAG solution links bots with enterprise knowledge, enabling automated decisions, accurate responses, and self improving workflows across operations at scale.
Live Work:
- Embedded RAG inside automation bots
- Enabled decision making from knowledge
- Implemented feedback learning loop
Outcome: Smarter bots with reduced rework
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
Latest Hiring
No hiring posts
Recently Placed Candidates
No placements available
Latest Hiring
No hiring posts
Our Success Mantra
Commitment
- Ensuring quality training every day
Fulfillment
- Meeting learning goals with confidence
Accomplishment
- Students achieving industry-ready expertise
Our Learner Voice
Beyond Courses:
Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
What Makes TechPratham Training Different?
Feature
TechPratham Advantage
Industry Standard Institutes
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
What is Agentic RAG & Knowledge Engineering and why is it important in enterprise AI?
How is Agentic RAG different from traditional RAG implementations?
What skills will I gain from the Agentic RAG & Knowledge Engineering course?
Is Agentic RAG & Knowledge Engineering suitable for working professionals?
Who can join the Agentic RAG & Knowledge Engineering course?
Which companies hire professionals with Agentic RAG & Knowledge Engineering skills?
How would you architect an enterprise-grade Agentic RAG system for a financial services company?
How do you structure domain knowledge for optimal retrieval in large enterprises?
Your multi-agent workflow produces inconsistent results across sessions. How would you fix it?
How would you scale an Agentic RAG system for thousands of concurrent users?
How do you prevent sensitive data leakage in enterprise RAG pipelines?
What techniques would you use to reduce latency in RAG-based systems?
About Agentic AI Certification
Industry-Recognized Certification
Agentic RAG & Knowledge Engineering Training
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