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About Our Agentic AI & Autonomous Systems Course

Our comprehensive Agentic AI course in Wakad is designed to equip you with 9 key modules, practical skills, and industry insights. With a duration of 12-16 weeks, you'll gain expertise in areas like: AI Agents & Autonomous Systems, LLM Orchestration & Prompt Engineering, Multi-Agent Frameworks (LangChain, AutoGen)....

Get ready for a successful career in roles such as Agentic AI Engineer or AI Automation Specialist.

Career Opportunities After Agentic AI & Autonomous Systems Training

Upon successful completion of our Agentic AI course, you'll be prepared for diverse and rewarding career paths, including:

  • Agentic AI Engineer
  • AI Automation Specialist
  • LLM Engineer
  • AI Product Developer
  • Prompt Engineer
  • AI Solutions Architect
  • ML Engineer
  • AI Consultant
SAP Training & Certification

Agentic AI Course in Pune - Build Autonomous AI Agents That Actually Get Work Done

Learn to design, build, and deploy AI agents that plan, reason, and act on their own. This hands-on Agentic AI course in Pune takes you from LLM basics to production-ready multi-agent systems using tools like LangChain, LangGraph, AutoGen, and CrewAI. Classroom sessions in Pune + live online batches | Real projects, not just theory | Certificate on completion | Placement support for eligible learners.

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Course Overview

What this course covers

Why Agentic AI?

Agentic AI is the next step beyond chatbots and prompt-based tools. Instead of just answering a question, an AI agent can break a goal into steps, decide what tools to use, call APIs, check its own output, and keep working until the task is actually done. Companies are moving fast on this and that's created a real skills gap that this Agentic AI course in Pune is built to close.

This is not a "watch videos and get a certificate" program. Over the course, you'll work with real LLMs, real APIs, and real agent frameworks to build things like a research agent, a customer support agent, and a multi-agent workflow that can hand off tasks between agents. By the end, you'll have a portfolio of projects you can show in interviews, not just a certificate.

The course is designed for both freshers with a programming background and working professionals developers, data scientists, and product folks who want to move into applied AI roles. Sessions run out of our Pune training center, with a live online option for those who can't attend in person.

Key points

  • Single-agent, multi-agent & hierarchical systems
  • LangChain, LangGraph, CrewAI, AutoGen
  • Memory, tools, RAG, deployment & monitoring
  • Developers & ML engineers
  • Data scientists applying skills to agents
  • Pune IT professionals reskilling part-time

What You'll Learn

No filler modules. Every lesson here is built to land one of these six outcomes.

Agentic AI Fundamentals

Explain how agentic AI differs from traditional generative AI and rule-based automation.

Agent Architectures

Design single-agent, multi-agent and hierarchical agent architectures.

LangChain, LangGraph & CrewAI

Build agents using LangChain, LangGraph, CrewAI, AutoGen and OpenAI Assistants API.

Memory, Tools & RAG

Give agents memory, connect them to external tools/APIs and implement Retrieval-Augmented Generation.

Multi-Agent Collaboration

Set up multi-agent systems where agents delegate work and collaborate on goals.

Deployment, Guardrails & Debugging

Add guardrails, evaluate agent behavior, deploy applications and monitor them in production.

Skills & Tools You'll Master

A real, production-grade toolkit, not toy examples. Everything here is what you'll actually touch on the job.

6

Skill areas covered

100%

Job-ready curriculum

Agentic AI Fundamentals

Explain how agentic AI differs from traditional generative AI and rule-based automation.

Agent Architectures

Design single-agent, multi-agent and hierarchical agent architectures.

LangChain, LangGraph & CrewAI

Build agents using LangChain, LangGraph, CrewAI, AutoGen and OpenAI Assistants API.

Memory, Tools & RAG

Give agents memory, connect them to external tools/APIs and implement Retrieval-Augmented Generation.

Multi-Agent Collaboration

Set up multi-agent systems where agents delegate work and collaborate on goals.

Deployment, Guardrails & Debugging

Add guardrails, evaluate agent behavior, deploy applications and monitor them in production.

Who This Course Is For

You're a good fit if

Software developers

Who want to move from traditional coding into building AI-powered applications.

Data scientists and ML engineers

Looking to apply their skills to agentic and LLM-based systems.

Product managers and analysts

Who want a working, technical understanding of how agentic AI systems are built.

Freshers and final-year students

With basic Python knowledge who want to enter the AI job market with a practical skill set.

Working professionals in Pune's IT sector

Looking to reskill without quitting their job (evening and weekend batches available).

You're Eligible

Basic familiarity with Python or LLMs is helpful but not mandatory.

No related courses data available (check masterData.js or prop passing).
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Seats for the Next Agentic AI Batch in Wakad Are Filling Up

Learn to build autonomous AI agents with hands-on projects, real frameworks, and instructors who work in the field. Classroom in Wakad or live online — your choice.

Download Full Syllabus · Limited seats per batch

Agentic AI Lab
LangChain
CrewAI
RAG
Multi-Agent
Live Trainer
Real System
No Pressure

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