01 0–5 years
Developers & IT graduates
Add the most in-demand AI skill of 2026 to your profile.
What you'll gain
- Portfolio of working agents
- Python and API skills for AI work
AI & Analytics
Agentic AI Training: Build AI Agents with LLMs, Tools, RAG & Multi-Agent Workflows
Agentic AI is AI that plans and acts: an agent uses a large language model to reason about a goal, calls tools and APIs, reads company data and checks its own results. Our 10-week live course takes you from LLM basics to building, testing and deploying single and multi-agent systems, including agents that work with SAP business processes.
- Course fee
- ₹75,000
- Duration
- 10 weeks
- Commitment
- 6–8 hours/week
- Level
- Beginner to advanced
Free Course fee ₹75,000. Batch dates and the detailed syllabus on the call
What is Agentic AI?
Agentic AI is the step after chatbots. Instead of answering one question, an AI agent works towards a goal: it breaks the task into steps, calls tools and APIs, looks up company data, and checks its own output before it finishes. Teams are using agents to read documents, update systems, draft replies and hand the final decision to a person.
Why learn Agentic AI in 2026?
Companies have moved from AI experiments to AI agents in real workflows, and they need people who can build them safely and reliably. Skills like tool calling, RAG, MCP and multi-agent orchestration are new, so trained developers and consultants stand out quickly.
How this course is different
- Build, not just watch: you write every agent live with the trainer
- Business use cases: HR, finance and procurement agents, including SAP processes
- Three portfolio projects you can demo in interviews
- Career support: resume review, mock interviews and placement support
Who it's for
Is the Agentic AI course right for you?
02 2+ years
SAP consultants & developers
Build agents that automate steps inside SAP processes.
What you'll gain
- Joule agents and SAP BTP AI services
- AI use cases for your module
03 Any background
Working professionals & career switchers
Move into AI roles without starting a data science degree.
What you'll gain
- Structured path from basics to deployment
- Interview and portfolio support
Outcomes
What you'll be able to do
- Explain how LLMs, agents, tools and memory fit together
- Write reliable prompts and structured outputs for business tasks
- Build agents that call tools and APIs with function calling
- Ground agents in company documents and data with RAG and vector search
- Connect agents to tools and systems with the Model Context Protocol (MCP)
- Orchestrate multi-agent workflows with LangGraph and CrewAI
- Evaluate, secure and deploy agents with human approval where it matters
Curriculum
8 modules, taught live
A structured path from fundamentals to project-ready Agentic AI skills. Every module includes hands-on practice.
- 01 Week 1 4 topics Hands-on
Python & LLM foundations
Why it matters on projects: Every agent is built on an LLM API, so this is the base for everything that follows.
- 01 Python essentials for AI work
- 02 How large language models work
- 03 Calling LLM APIs
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- 04 Tokens, context windows and cost
- 02 Week 2 3 topics Hands-on
Prompt engineering & structured output
- 01 System prompts and few-shot examples
- 02 JSON and schema-based outputs
- 03 Reducing hallucinations
- 03 Week 3 4 topics Hands-on
Tool calling & your first agent
- 01 Function calling
- 02 The reason and act loop
- 03 Error handling and retries
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- 04 Building a task agent from scratch
- 04 Week 4 3 topics Hands-on
RAG & memory
Why it matters on projects: Business agents are only useful when they answer from your own data, not the open internet.
- 01 Embeddings and vector databases
- 02 Chunking and retrieval strategies
- 03 Short and long-term agent memory
- 05 Week 5 3 topics Hands-on
MCP & agent frameworks
- 01 Model Context Protocol servers and clients
- 02 LangChain and LangGraph
- 03 State, branching and checkpoints
- 06 Week 6 3 topics Hands-on
Multi-agent systems
- 01 Planner, worker and reviewer patterns
- 02 CrewAI crews
- 03 Human-in-the-loop approvals
- 07 Week 7 4 topics Hands-on
Agents in the enterprise & SAP
- 01 SAP Joule agents overview
- 02 SAP AI Core and generative AI hub
- 03 Calling SAP OData APIs from an agent
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- 04 Security, guardrails and data privacy
- 08 Weeks 8–10 4 topics Hands-on
Evaluation, deployment & capstone
- 01 Testing and evaluating agents
- 02 Observability and cost control
- 03 Deploying an agent as an API
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- 04 Capstone project and mock interviews
Get Agentic AI fees & batch dates
Free counselling call within 24 hours. No obligation.
- 1Your details
- 2Syllabus & fees
Hands-on
Projects you'll build and present
Interviewers ask what you have done, not just what you know. These projects give you real answers.
Project 1
Build a research agent that searches, reads and summarises sources with citations
Project 2
Build a policy and HR assistant grounded in company documents with RAG
Project 3
Build a multi-agent procure-to-pay helper that reads purchase orders through SAP APIs and drafts approvals for a human to confirm
Tools you'll use Python OpenAI and Claude APIs LangChain LangGraph CrewAI Model Context Protocol (MCP) Vector databases SAP AI Core Joule
Certified twice over
Finish the programme and present your project to earn the Agentic AI completion certificate, ready for your resume and LinkedIn.
Includes a course completion certificate and a portfolio of three agent projects. Your counsellor advises on optional vendor AI certifications.
Includes practice questions, mock tests and a study plan.
Roles you can target
- AI Agent Developer
- Generative AI Engineer
- AI Automation Consultant
- SAP AI Consultant
Placement support includes resume and LinkedIn reviews, mock interviews and hiring-partner referrals.
Upcoming batches
Next Agentic AI batches
New Agentic AI batches start every month
Share your preferred timing and we will confirm the next available batch.
Everything included
One fee of ₹75,000 covers the whole programme
No add-ons for recordings, system access or placement support. Your counsellor explains the instalment and EMI options on the call.
- 01 Live classes with a working consultant Weekday or weekend batch, small enough to ask questions.
- 02 Recording of every session Revise any class for the length of the course and the placement programme.
- 03 SAP S/4HANA practice access Configure, post and report on a real system, not screenshots.
- 04 Doubt support on WhatsApp Batch group plus direct trainer access between classes.
- 05 Certification preparation Study plan, practice questions and exam-aligned mock tests.
- 06 Placement support Resume and LinkedIn review, mock interviews and hiring-partner referrals.
FAQ
Agentic AI course questions
What is agentic AI?
Agentic AI means AI systems that act towards a goal instead of only answering one question. An agent plans the steps, calls tools and APIs, uses company data and checks its work, often with a human approving key actions.
Do I need coding experience for this course?
Basic Python helps, but it is not required. The first weeks cover the Python you need, and every lab is done live with the trainer.
How is this different from the SAP AI & Joule course?
SAP AI & Joule focuses on SAP's own AI features for SAP consultants. Agentic AI teaches you to build your own agents with LLMs, tools, RAG and multi-agent frameworks, and then shows how to connect them to SAP.
What jobs can I get after learning agentic AI?
Common roles include AI agent developer, generative AI engineer and AI automation consultant. SAP professionals also use these skills to lead AI work on SAP projects.
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Free counselling
Ready to start Agentic AI?
Talk to a counsellor, get a personalised module recommendation, the latest fee sheet and upcoming batch dates. No obligation.
Mon–Sat, 9 AM – 7 PM IST Callback within 24 hours No fees, no pressure
30 minutes, free