MODULE 06 · WEEK 9–10
Generative AI & LLM Engineering
Build applications powered by modern LLMs.
- LLM fundamentals — tokens and context windows
- Working with LLM APIs
- Structured outputs and tool calling
- Evaluating AI outputs
AGENTIC AI · AI AGENTS
Agentic AI Course in India: Learn to Build AI Agents
Go beyond chatbots. Learn how AI agents plan, use tools, retrieve knowledge and complete multi-step tasks, then build them yourself with LLMs, tool calling, RAG, LangChain, LangGraph and MCP.
Taught as part of the Skilluron AI Engineer Program, live online or at our Kolkata centre. No prior AI experience required.
- Live classes
- Real agent projects
- Mentor support
- Placement assistance
HOW AN AI AGENT WORKS
- 1. Goal. You give the agent an objective, not a single question.
- 2. Plan. An LLM decides what to do next and breaks the task into steps.
- 3. Act. It calls tools: APIs, databases, search, code or your documents.
- 4. Observe. It reads the results and decides whether to continue or adjust.
- 5. Deliver. It stops when the goal is met and returns a finished output.
Steps 2 to 4 repeat until the goal is reached.
The Basics
What Is Agentic AI?
Agentic AI is software that pursues a goal instead of just answering a prompt. An LLM acts as the reasoning engine, and tools, memory and retrieval let it take real actions: look up data, query a database, call an API, write a report.
AI agents vs chatbots
CHATBOTAI AGENT
InteractionChatbot: Answers one prompt at a timeAgent: Pursues a goal across many steps
ToolsChatbot: Usually text in, text outAgent: Calls tools, APIs, databases and code
MemoryChatbot: Limited to the current chatAgent: Keeps state and memory across steps
Control flowChatbot: You steer every turnAgent: Plans, loops and adapts on its own
OutputChatbot: A replyAgent: A completed task or workflow
What You Will Learn
LLMs, RAG and AI Agents: the Agentic Core
These three modules of the AI Engineer Program take you from calling an LLM API to shipping agents that use tools and run multi-step workflows.
MODULE 07 · WEEK 11
RAG & AI Knowledge Systems
Build AI apps that answer questions from private, domain-specific documents.
- Embeddings and vector databases
- Chunking and retrieval strategies
- RAG architecture
- Evaluating RAG systems
MODULE 08 · WEEK 12–13
AI Workflows & Agents
Build AI agents that use tools and complete multi-step tasks.
- Tool calling and function calling
- Agent architecture, memory and planning
- Multi-step workflows with LangGraph
- MCP fundamentals
Tools and frameworks you will use
GENERATIVE AI
- LLMs
- OpenAI APIs
- Embeddings
AI APPLICATIONS
- LangChain
- LangGraph
- RAG
- Vector Databases
AI AGENTS
- Tool Calling
- Function Calling
- MCP
- Agent Frameworks
MCP is covered as an advanced topic. Python, SQL, FastAPI and Docker are part of the same program, so you can build and deploy what you learn.
Projects
AI Agent Projects You Will Build
Portfolio projects, not slides. Each one is built around real tools and real data.
AI Research Agent
Research topics, use tools and generate structured reports.
- LangGraph
- Tool Calling
- LLM APIs
AI Knowledge Assistant
Upload documents and ask questions using RAG.
- LangChain
- Vector DB
- OpenAI API
AI Customer Support Bot
Build a knowledge-grounded customer support assistant.
- LangChain
- OpenAI API
- FastAPI
Text-to-SQL Analyst
Ask questions in natural language and get insights from databases.
- LLM APIs
- SQL
- FastAPI
AI SaaS Product
Build an end-to-end AI product with authentication, data and AI functionality.
- Next.js
- OpenAI API
- Auth
- Cloud
Final AI Product
Build and deploy an AI solution around a real-world problem.
Part of the AI Engineer Program
Agentic AI is taught inside the AI Engineer Program
Strong agents need strong foundations: Python, machine learning, LLMs and retrieval. The program covers all of it across 11 modules, with agents and deployment on top. 16–18 weeks of live classes.
- Recorded backup of every session
- Mentor support throughout the program
- Foundation, GenAI, agent & product projects
- A capstone AI product you build and deploy
- Resume + LinkedIn + GitHub preparation
- AI system-design interview preparation
ONLINE
₹29,999
Live Online Cohort
OFFLINE
₹39,999
Kolkata Offline Centre
EMI is available. A free demo class comes first, with no payment needed to start.
Who It Is For
Who Should Learn Agentic AI?
- Students and graduates who want a skill employers are hiring for
- Career switchers moving into AI from a non-technical background
- Software developers adding LLM, RAG and agent skills
- Working professionals who want to automate real work with AI
BEGINNER FRIENDLY
- No prior AI experience required
- Python starts from fundamentals
- Concepts explained before implementation
- Structured learning path
- Mentor support
- Real projects instead of theory alone
Careers
Roles This Prepares You For
- AI Engineer
- Generative AI Developer
- Machine Learning Engineer
- AI Application Developer
- LLM Engineer
- NLP Engineer
- Applied AI Developer
- AI Automation Developer
Career support runs alongside the training: build the skills. build the portfolio. prepare for interviews. get career guidance. get placement assistance.
Placement assistance means preparation and referrals to our hiring partner network. It is not a job guarantee.
FAQ
Agentic AI Course: Frequently Asked Questions
EXPLORE RELATED LEARNING PATHS
Free Demo + Counselling
Start Building AI Agents
Book Your Free Demo
Tell us a little about yourself and a counsellor will schedule your demo for the AI Engineer Program. No payment, no commitment.
- Free counselling call
- Free live demo class
- Online or Offline in Kolkata
- WhatsApp support
Our Promise — Zero Risk to You
100% Free Demo
Your first class costs nothing. No credit card, no invoice, no catch.
Zero Commitment
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