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Agentic AI Course in Mumbai

Built for working professionals, engineers, AI builders, and technical product teams in Mumbai, 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 in a format that fits demanding schedules.

Build Agent Systems
LangGraph, tools, and orchestration
Ground Outputs Better
Agentic RAG with evaluation loops
Debug with Traces
Inspect failures and improve quality
Learn Flexibly
Live online with recordings

Agentic AI Course in Mumbai for Working Professionals

Live Teaching, Not Just Video Access

Classes are live, mentor-led, and structured, so the learning stays serious even when the material moves into orchestration, evaluation, tracing, and deployment tradeoffs.

Designed Around Full-Time Work

The format is built for professionals balancing demanding jobs across Mumbai product teams, BFSI organizations, consulting environments, and fast-moving startups.

Mentor Support When It Gets Technical

You get access to instructors for architecture questions, framework tradeoffs, debugging choices, and implementation decisions that are hard to resolve alone.

Career-Focused Project Work

Projects focus on grounded retrieval, agent workflows, evals, and deployment-minded builds that are easier to use in interviews and internal role growth.

Learning Format
Live Online with Mentor-Led Sessions and Recordings
Course Duration
12 Weeks
Next Cohort starts
27 Apr, 2026

What You Will Learn in Practice

Agent Frameworks in Practice

Work with LangChain, LangGraph, CrewAI, and AutoGen to understand how orchestration choices affect control flow, explainability, and system reliability.

Tooling, Contracts, and Execution

Use MCP, LangFlow, and Playwright to think clearly about tool contracts, automation flows, and cleaner 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 and improve.

Deployment and Runtime Thinking

Move beyond notebooks into serving, runtime behavior, failure paths, and deployment choices that matter once a system is used inside real teams.

Main Course Page

Explore the Full Agentic AI Syllabus

This page gives you the Mumbai-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.

Industry-Recognized CertificationLive Mentor-Led SessionsPlacement Assistance4.9 ★ Average Rating

Why Working Professionals Learn Agentic AI in Mumbai

Mumbai has strong demand for professionals who can connect AI experimentation to practical product, enterprise, and automation use cases.

Across Mumbai's BFSI firms, enterprise teams, consulting environments, digital product companies, and AI-first startups, the useful shift is no longer just AI awareness. Teams increasingly need people who can build retrieval-backed assistants, tool-using workflows, and reviewable AI features with stronger delivery discipline. That is why a flexible live format with serious technical support matters here.

Why This Agentic AI Course in Mumbai Works for Career Growth

The difference is not just the frameworks. It is how the program fits serious working professionals without diluting technical depth.

Feature
Teaching Model
School of Core AI

Live mentor-led sessions with structure, discussion, and technical guidance.

Other Institutes

Often a mix of videos, light interaction, or unclear live support.

Feature
Technical Depth
School of Core AI

LangGraph, MCP, Agentic RAG, evals, tracing, and deployment taught as one connected workflow.

Other Institutes

Often limited to prompt patterns, basic demos, or isolated tool walkthroughs.

Feature
What Gets Built
School of Core AI

Projects focus on tool use, grounded retrieval, debugging, and explainable architecture choices.

Other Institutes

Projects often stay at the demo level and are hard to defend in serious interviews.

Feature
How Quality Is Handled
School of Core AI

Quality is treated as measurable through evals, trace reviews, and regression thinking.

Other Institutes

Evaluation is often missing, which makes it hard to move beyond prototypes.

Feature
Working Professional Fit
School of Core AI

Designed for people who need strong teaching and technical access without offline attendance.

Other Institutes

Support and schedule quality are often not designed around serious full-time professionals.

Feature
Interview and Portfolio Value
School of Core AI

You leave with systems and tradeoffs you can explain clearly in interviews and project discussions.

Other Institutes

Learners often finish with surface-level examples that do not travel well into technical evaluation.

Who This Agentic AI Course in Mumbai Is For

01

Software Engineers

For developers who want to build agent systems with structured orchestration, tool use, and measurable reliability.

02

AI and ML Builders

For practitioners who know the basics and now want practical depth in orchestration, retrieval, evaluation, and deployment.

03

Technical Product Professionals

For PMs and technical product leaders who need to understand agent architecture, failure modes, and implementation tradeoffs.

04

Working Professionals

For learners with full-time roles who need live sessions, recordings, and a format that works around demanding schedules.

05

Builders Who Want More Than Demos

For people who are done with superficial chatbot tutorials and want to build more credible, production-aware systems.

06

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 explain in interviews, internal reviews, and real product conversations across Mumbai teams.

Applied Agentic AI Tools and Workflows

01

LangChain, LangGraph, CrewAI, AutoGen

Agent frameworks for orchestration, multi-step flow design, tool routing, memory, branching, and team-style agent patterns.

02

MCP, LangFlow, Playwright

Tool contracts, visual workflow experimentation, browser automation, and cleaner integration patterns for agents that need to act beyond a prompt box.

03

LangSmith, Langtrace, Agentic RAG, Evals

Tracing, observability, retrieval, reranking, grounding, test sets, and measurable quality loops so systems can be reviewed and improved.

04

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 Mumbai

1

Foundation

  • Core concepts
  • Tools & setup
  • Hands-on intro
2

Build

  • Advanced techniques
  • Guided projects
  • Industry tools
3

Specialise

  • Elective tracks
  • Capstone project
  • Peer reviews
4

Launch

  • Portfolio prep
  • Mock interviews
  • Placement drive

Agentic AI Certification Course in Mumbai

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 Learning Community in Mumbai

Learn with engineers, AI practitioners, analysts, and product professionals in live cohorts. The community value comes from mentor reviews, shared repos, mock interviews, and peer conversations that stay useful after class hours and continue supporting role growth.

Working Professional Peer Group in Mumbai

Live mentor access and recordings
Live mentor access and recordings
Peer learning and reviews
Peer learning and reviews
Shared repos and feedback loops
Shared repos and feedback loops
Mock interviews and prep groups
Mock interviews and prep groups
Referrals guidance and hiring signals
Referrals guidance and hiring signals
Learners and alumni work across product teams, BFSI firms, consulting environments, startups, and enterprise AI groups in Mumbai and beyond, which makes the network useful for both role visibility and practical feedback.

Where Mumbai Learners and Alumni Work

What Mumbai Learners Say After the Course

The biggest value for me was learning how to evaluate and debug agent behavior instead of stopping at a working demo. That changed how I present my projects.
AM
Aarav M.
Software Engineer
The live format worked well with my schedule. I could attend, revisit recordings, and still get answers on architecture and implementation choices when I got stuck.
RS
Ritika S.
Senior Product Analyst
The course helped me think beyond prompts and into workflows, tool use, and reliability. That made interviews much easier to handle.
KP
Kunal P.
Applied AI Engineer
Capstone reviews were useful because they forced me to explain tradeoffs, failure cases, and deployment decisions clearly rather than just show final output.
MD
Meera D.
GenAI Developer

Companies Hiring Agentic AI Talent in Mumbai

Career Opportunities for Agentic AI in Mumbai

Across Mumbai product teams, BFSI technology groups, consulting environments, enterprise platforms, and AI-first startups, the useful hiring signal is shifting toward people who can build systems that are grounded, reviewable, and deployable.

That makes skills like orchestration, retrieval quality, evaluation, tracing, and rollout thinking more valuable than surface-level GenAI familiarity alone.

Agentic AI Engineer

Build multi-step agent workflows with tools, orchestration logic, trace review, and stronger reliability discipline inside real products.

Applied AI and RAG Engineer

Own retrieval-heavy systems with grounding, reranking, citations, evaluation loops, and clear reasoning about output quality.

AI Platform or LLMOps Engineer

Support runtime behavior, deployment patterns, observability, cost awareness, and release-minded thinking for agent systems.

Technical Product or AI PM

Define agent features, guardrails, evaluation plans, rollout expectations, and collaboration patterns with engineering teams.

AI Solutions and Automation Roles

Use tools, browser workflows, retrieval, and workflow automation to build useful internal systems that are easier to explain 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 Mumbai

Single transparent fee covering complete training, real-world projects, certification and placement support. EMI and part-payment options are available with our counsellor.

Total Course Fee
35,000

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 Mumbai FAQs

This Agentic AI course is delivered live online with mentor-led sessions and recordings. Learners in Mumbai can join from home or work without depending on classroom attendance.