Agentic AI Course in Pune
Built for engineers, developers, AI builders, and technical product professionals in Pune who want more than lightweight GenAI demos, this 12-week live online program focuses on how real agent systems are designed, evaluated, traced, and deployed. You will work across LangChain, LangGraph, LangSmith, Langtrace, CrewAI, AutoGen, LangFlow, MCP, Agentic RAG, AWS, Playwright, evals, and production-minded implementation patterns with a stronger emphasis on hands-on builds you can actually showcase.
Agentic AI Course in Pune for Builders and Working Professionals
Classes are live, mentor-led, and structured. The point is not just access to content, but real technical teaching, discussion, and implementation clarity while you build working agent flows step by step.
The format works for professionals managing demanding roles across Pune's product teams, IT services firms, GCC environments, and engineering organizations without depending on offline attendance.
When the material gets technical, access matters. You get instructor support for architecture questions, tradeoffs, debugging, and implementation decisions so project work does not stall at the first failure point.
The program stays focused on system design, evaluation, debugging, delivery, and project quality rather than trend-chasing or shallow AI demos, which is what makes the final portfolio more practical.
What You Will Learn in Practice
Agent Frameworks in Practice
Work with LangChain, LangGraph, CrewAI, and AutoGen to understand which orchestration patterns fit which systems and how to design flows that stay explainable.
Tooling, Contracts, and Execution
Use MCP, LangFlow, and Playwright to think clearly about tool contracts, browser workflows, and maintainable agent integrations instead of loose demo wiring.
Retrieval, Evals, and Observability
Build Agentic RAG systems with grounding, reranking, citations, trace review, and evaluation loops that make system behavior easier to inspect.
Deployment and Runtime Thinking
Move beyond notebooks into serving, runtime behavior, failure paths, and release decisions that matter once a system is used by others.
Explore the Full Agentic AI Syllabus
This page gives you the Pune-specific view. For the complete module breakdown, project scope, tool coverage, and certification details, the main course page gives you the broader program view.
No signup required — explore at your own pace
What you'll find on the main page
Complete Module View
See the full curriculum structure beyond the city-specific narrative.
Project Scope
Review the broader project mix and capstone depth in one place.
Certification Details
Understand how the certificate fits into the overall program structure.
Flagship Program View
Use the main page when you want the full non-city version of the course.
Why Builders in Pune Are Learning Agentic AI
Pune is a strong product-engineering, SaaS, and digital-services context, which makes it a practical city lens for learning agent systems that need to work beyond prototypes.
Across Hinjawadi, Kharadi, Magarpatta, Baner, and nearby engineering corridors, many teams sit close to the real work of internal tools, enterprise platforms, automation, BFSI systems, SaaS products, and data-heavy operations. That matters because the useful shift is no longer just AI awareness. It is the growing need to build internal copilots, retrieval-backed assistants, workflow automation, and reviewable AI features inside real teams. That is why grounded outputs, measurable quality, trace review, and deployment thinking matter more than prompt experimentation alone, especially for builders who want projects they can actually ship and show.
Why This Agentic AI Course in Pune Is More Practical
The difference is not just the list of frameworks. It is the focus on system quality, reviewability, and delivery.
| Features | School of Core AI | Other Institutes |
|---|---|---|
| Teaching Model | ✓Live mentor-led sessions with structure, discussion, and technical guidance. | ✗Often a mix of videos, light interaction, or unclear live support. |
| Technical Depth | ✓LangGraph, MCP, Agentic RAG, evals, tracing, and deployment taught as one connected workflow. | ✗Often limited to prompt patterns, basic demos, or isolated tool walkthroughs. |
| What Gets Built | ✓Projects focus on tool use, grounded retrieval, debugging, and explainable architecture choices. | ✗Projects often stay at the demo level and are hard to defend in serious interviews. |
| How Quality Is Handled | ✓Quality is treated as measurable through evals, trace reviews, and regression thinking. | ✗Evaluation is often missing, which makes it hard to move beyond prototypes. |
| Working Professional Fit | ✓Designed for people who need strong teaching and technical access without offline attendance. | ✗Support and schedule quality are often not designed around serious full-time professionals. |
| Interview and Portfolio Value | ✓You leave with systems and tradeoffs you can explain clearly in interviews and project discussions. | ✗Learners often finish with surface-level examples that do not travel well into technical evaluation. |
Live mentor-led sessions with structure, discussion, and technical guidance.
Often a mix of videos, light interaction, or unclear live support.
LangGraph, MCP, Agentic RAG, evals, tracing, and deployment taught as one connected workflow.
Often limited to prompt patterns, basic demos, or isolated tool walkthroughs.
Projects focus on tool use, grounded retrieval, debugging, and explainable architecture choices.
Projects often stay at the demo level and are hard to defend in serious interviews.
Quality is treated as measurable through evals, trace reviews, and regression thinking.
Evaluation is often missing, which makes it hard to move beyond prototypes.
Designed for people who need strong teaching and technical access without offline attendance.
Support and schedule quality are often not designed around serious full-time professionals.
You leave with systems and tradeoffs you can explain clearly in interviews and project discussions.
Learners often finish with surface-level examples that do not travel well into technical evaluation.
Who This Agentic AI Course in Pune Is For
Software Engineers
For developers who want to build agent systems with structured orchestration, tool use, and measurable reliability.
AI and ML Builders
For practitioners who know the basics and now want practical depth in orchestration, retrieval, evaluation, and deployment.
Technical Product Professionals
For PMs and technical product leaders who need to understand agent architecture, failure modes, and implementation tradeoffs.
Working Professionals
For learners with full-time roles who need live sessions, recordings, and a format that works around demanding schedules.
Builders Who Want More Than Demos
For people who are done with superficial chatbot tutorials and want to build more credible, production-aware systems.
Technical Career Switchers
For professionals from engineering-heavy backgrounds who want to move toward applied AI, agent engineering, or AI product roles.
What You Will Build
You will leave with project work that looks like systems engineering, not just AI prompting.
Expect builds such as a multi-step assistant with tool calls, an Agentic RAG workflow with grounded retrieval, evaluation harnesses for testing output quality, trace-driven debugging setups, and a deployment-ready capstone that shows how your system behaves beyond the notebook stage. The goal is work you can defend in engineering, product, and platform conversations rather than a portfolio full of shallow demos, which is especially important for Pune builders comparing project-heavy programs.
Agentic AI Tools and Workflows You Will Build
LangChain, LangGraph, CrewAI, AutoGen
Agent frameworks for orchestration, multi-step flow design, tool routing, memory, branching, and team-style agent patterns.
MCP, LangFlow, Playwright
Tool contracts, visual workflow experimentation, browser automation, and cleaner integration patterns for agents that need to act beyond a prompt box.
LangSmith, Langtrace, Agentic RAG, Evals
Tracing, observability, retrieval, reranking, grounding, test sets, and measurable quality loops so systems can be reviewed and improved.
AWS and Deployment
Debugging workflows, runtime thinking, local and cloud deployment patterns, and practical release-minded implementation for agent systems.
Agentic AI Course Roadmap in Pune
Foundation
- Core concepts
- Tools & setup
- Hands-on intro
Build
- Advanced techniques
- Guided projects
- Industry tools
Specialise
- Elective tracks
- Capstone project
- Peer reviews
Launch
- Portfolio prep
- Mock interviews
- Placement drive
Agentic AI Certification Course in Pune
Earn a verifiable certificate after completing the program and project reviews, with demonstrated work across agent frameworks, observability tooling, Agentic RAG, evals, tracing, and deployment workflows.
Certificate of Completion
Issued by School of Core AI upon successful completion of the programme
Agentic AI Builder Community in Pune
Builder Peer Group in Pune
Where Pune Learners and Alumni Work
What Pune Learners Say After the Course
Companies Hiring Agentic AI Talent in Pune
Career Opportunities for Agentic AI in Pune
Across Pune product teams, enterprise platforms, GCC environments, digital engineering groups, BFSI technology teams, and AI-first startups, the useful hiring signal is shifting toward people who can build systems that are reviewable, grounded, deployable, and backed by practical project work.
That makes skills like orchestration, retrieval quality, evaluation, tracing, and rollout thinking more valuable than surface-level GenAI familiarity alone.
Design and build agent workflows with tool schemas, memory, safety gates, evaluation loops, and trace-based debugging.
Own retrieval-first systems with chunking, hybrid retrieval, reranking, grounding, citations, and evaluation pipelines.
Support runtime behavior, telemetry, deployment patterns, cost awareness, and safer releases for AI systems in production.
Own AI feature specs, evaluation plans, guardrails, and rollout strategy, and work closely with engineering on trace-driven iteration.
Use tools, browser workflows, retrieval, and workflow automation to build internal systems that are easier to explain, improve, and maintain.
Compare Agentic AI Learning Paths
If you are comparing agent engineering with broader GenAI, deployment, or AI application tracks, start here.
Agentic AI Course Fee in Pune
Single transparent fee covering complete training, real-world projects, certification and placement support. EMI and part-payment options are available with our counsellor.
Final fee, EMI plans and any ongoing offers will be confirmed by your counsellor based on your batch, mode and payment preference.
Agentic AI Course in Pune FAQs
This Agentic AI course is delivered live online with mentor-led sessions and recordings. Learners in Pune can join from home or work without depending on classroom attendance.