8-week live training + certification

Become a Generative AI & Agentic AI Engineer

Learn Python, LLM apps, RAG, LangGxraph agents, multi-agent workflows, and deployment through real project code with mentor support.

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32Live Hours

4Capstones

IITAlumni Mentors

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Why this program

Master AI by building systems, not only notebooks.

The course moves from Python foundations to production-style GenAI applications, RAG systems, LangGraph agents, memory, tools, multi-agent workflows, and deployment fundamentals.

SkillCone Generative AI and Agentic AI course overview

Build Intelligent Agents

Create graph-based workflows, tool-using agents, memory-enabled assistants, and autonomous planners.

RAG

Ship GenAI Applications

Use prompts, embeddings, vector databases, LangChain, and interfaces for practical LLM apps.

API

Learn Real Engineering

Work with APIs, JSON, modular Python, Docker fundamentals, databases, testing, and deployment basics.

Mentor-led learning

Code with faculty. Debug with confidence.

Live sessions focus on writing, reviewing, debugging, and improving real project code. Mentors help you understand the why behind the fix so you keep growing after class.

Live coding sessions with practical walkthroughs
Debugging support while you build
Feedback on project structure and implementation

Mentor guiding a student while debugging code

8-week roadmap

From Python foundations to advanced Agentic AI systems.

Week 1

Python for AI Engineering

Functions, dictionaries, APIs, JSON, files, OOP, modular coding, chatbot and API projects.

Weeks 2-4

Generative AI, Prompting & RAG

LLMs, tokens, embeddings, transformers, prompt engineering, LangChain, Streamlit, FAISS, ChromaDB, PDF chatbot architecture.

Weeks 5-6

Agentic AI with LangGraph

Agents vs chatbots, ReAct, planning agents, LangGraph nodes, edges, state, memory, tools, function calling, conditional routing.

Weeks 7-8

Multi-Agent Systems & Deployment

Planner, executor, reviewer agents, human-in-the-loop workflows, tracing, reflection, persistence, Docker, final capstone.

Learn from IIT alumni with industry experience

Portfolio outcomes

Build 4 capstone projects you can showcase.

AI Research Assistant

RAG assistant for searching, summarizing, and understanding documents.

AI Content Studio

Generate blogs, emails, and social posts using custom templates.

Autonomous Research Agent

LangGraph agent that plans, searches, analyzes, and prepares reports.

Multi-Agent Support System

Collaborative agents that detect intent, retrieve knowledge, and respond.

Ready to build real AI systems?

Get the syllabus, pricing, and next batch schedule from SkillCone.

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Questions

What learners usually ask.

Who is this course for?

Students, working professionals, developers, analysts, and builders who want practical GenAI and Agentic AI skills with Python.

Do I need advanced programming experience?

No. The first week covers Python foundations needed for AI engineering, then the course progressively moves into LLMs and agents.

Will I build deployable projects?

Yes. The curriculum includes RAG, AI agents, multi-agent workflows, Docker introduction, deployment fundamentals, and four capstones.

Is there a certificate?

Yes. Learners receive SkillCone certification after completing the program requirements.