AI5 ACADEMY PROFESSIONAL CERTIFICATE · A TGC INDIA INITIATIVE · UPDATED AUGUST 2026
RAG & Knowledge Agents Course
Create reliable assistants that answer from approved documents and company knowledge.
Online + OfflineWeekdays + WeekendsRegular + Fast Track
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere
NEXT START OPTIONS
Choose a live batch.
COURSE OVERVIEW
What this course
is built to do.
Create assistants that answer from approved files and databases, cite their source material and follow access boundaries.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
RAG DeveloperKnowledge AI EngineerLLM EngineerEnterprise Search Developer
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You need answers grounded in approved information
You want citations and access boundaries
You need to test retrieval quality
YOUR LEARNING ARC
From guided foundation to finished work.
Prepare
Clean, split and label source information.
Retrieve
Create embeddings, search and reranking.
Answer
Generate cited responses with clear limits.
Evaluate
Test coverage, accuracy, access and failure cases.
INDUSTRY TASKS
Practise the work, not only the tool.
- Create a document ingestion pipeline
- Build a cited knowledge assistant
- Run a retrieval and answer evaluation set
PRO
LED
LED
YOUR TRAINING TEAM
Learn from experienced working professionals.
Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
01
Prepare reliable knowledge sources
A clean, labelled and permission-aware document collection.
02
Build and tune retrieval
A tested pipeline comparing chunking, search and reranking choices.
03
Generate cited grounded answers
An assistant that cites evidence and declines unsupported questions.
04
Operate a secure knowledge agent
Deployment tests, access controls and an update plan.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
DETAILED COURSE FLOW
5 learning modules
Create knowledge assistants that retrieve the right approved information, cite it clearly and respect user and document access boundaries.
Knowledge use case and source preparation
Define what the assistant should know, who may ask and what a good answer looks like.
CORE TOPICS
- Knowledge scope and user questions
- Source quality, ownership and freshness
- Document cleaning and metadata
- Permissions and sensitive information
GUIDED PRACTICE
Audit a document collection and prepare a source and access specification.
MODULE DELIVERABLE
Knowledge-source readiness report
Chunking, embeddings and retrieval
Build the search layer that finds useful passages rather than merely similar words.
CORE TOPICS
- Chunking strategies and metadata
- Embeddings and vector databases
- Semantic, keyword and hybrid search
- Filters, top-k choices and reranking
GUIDED PRACTICE
Create and compare retrieval configurations against a labelled question set.
MODULE DELIVERABLE
Evaluated retrieval pipeline
Grounded answers and citations
Generate responses that stay within retrieved evidence and make uncertainty clear.
CORE TOPICS
- Context assembly and answer prompts
- Citation and quotation mapping
- Unsupported questions and abstention
- Conversation follow-up and context control
GUIDED PRACTICE
Build an assistant that cites passages and declines when evidence is insufficient.
MODULE DELIVERABLE
Cited knowledge assistant
Agent tools, permissions and workflows
Connect knowledge answers with controlled actions without bypassing access rules.
CORE TOPICS
- User identity and document-level access
- Search and business tool definitions
- Approval before sensitive actions
- Audit logs and escalation paths
GUIDED PRACTICE
Add one approved tool to the assistant and test it across user permission levels.
MODULE DELIVERABLE
Permission-aware knowledge agent
RAG evaluation, deployment and maintenance
Measure retrieval and answer quality and keep the knowledge current after launch.
CORE TOPICS
- Retrieval recall and answer faithfulness
- Adversarial and permission testing
- Observability, feedback and failure review
- Re-indexing, source updates and ownership
GUIDED PRACTICE
Deploy the agent, run a test suite and define its update and incident process.
MODULE DELIVERABLE
Deployed RAG capstone and maintenance plan
HOW THE TRAINING WORKS
Learn it. Apply it. Get it reviewed. Improve it.
Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.
Concept briefing
The trainer explains the principle, use case, limitations and the quality standard expected.
Live demonstration
A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.
Guided lab
Learners repeat the method with support, ask questions and correct problems during the session.
Applied assignment
The same method is used on a different brief so the learner must make independent decisions.
Review and revision
Work is checked against a rubric, revised after feedback and prepared for project presentation.
PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation
PORTFOLIO WORK
Projects you can show
Guided practice brief
Plan, produce, test and present a finished piece with trainer feedback.
Individual application
Plan, produce, test and present a finished piece with trainer feedback.
Workflow build
Plan, produce, test and present a finished piece with trainer feedback.
Industry-style assignment
Plan, produce, test and present a finished piece with trainer feedback.
Quality review
Plan, produce, test and present a finished piece with trainer feedback.
Final capstone
Plan, produce, test and present a finished piece with trainer feedback.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
TOOLS COVERED
LangChainVector DBPythonOpenAI API
Tool coverage may be updated when the industry changes. Core methods remain part of the course.COMMON QUESTIONS
Before you apply
What sources can the agent use?
Projects use approved documents and structured data with clear access rules.
＋Will answers include citations?
Yes. Source references and uncertainty handling are central to the course.
＋Is this course for beginners?
It is intermediate and expects Python, API and embeddings basics.
＋Do I need coding experience?
No, unless the course level says otherwise. Your advisor will check the right starting level.
＋Are classes live or recorded?
Classes are trainer-led in the classroom or live online.Recordings may support revision but do not replace class.
＋Will I receive a certificate?
Yes. Course completion requires attendance, assignments and the final project.
＋Can working professionals join?
Yes. Weekday, weekend and selected fast-track schedules are available.
＋NEXT BATCH
Choose your course.
Choose your schedule.
Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.
COURSE PLANNING
RAG & Knowledge Agents Course: syllabus, projects and admission details
Create reliable assistants that answer from approved documents and company knowledge.
RAG & Knowledge Agents Course syllabus
AI foundations, Prompt systems, Practical workflows. Read the full curriculum above for the complete learning sequence.
RAG & Knowledge Agents Course projects
Guided practice brief; Individual application; Workflow build. Check the project section for the work expected in this program.
RAG & Knowledge Agents Course eligibility
Entry level: Intermediate. Ask a counsellor to confirm whether your background meets the program prerequisites.
RAG & Knowledge Agents Course duration
Program duration: 10 weeks. Confirm the next batch timetable before joining.
RAG & Knowledge Agents Course tools
LangChain, Vector DB, Python, OpenAI API. Tool access and any paid accounts should be confirmed for your cohort.
RAG & Knowledge Agents Course fees and batches
Training mode: Online + Offline. Request current fees, available batches and a suitable schedule.
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