SCHOOLOFCOREAI
Register Now
Chat with us on WhatsApp
whatsappChat with usphoneCall us

Agentic AI Course in Delhi

Built for engineers, AI builders, technical product professionals, and enterprise teams in Delhi, 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 systems you can defend in product and delivery conversations.

Design Agent Systems
Workflows, tools, and orchestration
Build Reviewable Outputs
Grounding, evals, and trace loops
Ship Better AI Features
From prototype to deployment thinking
Learn With Structure
Live online with mentor support

Agentic AI Training in Delhi for Product and Enterprise Roles

Live Teaching With Technical Rigor

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

Built for Full-Time Professionals

The format is built for professionals across Delhi product teams, consulting environments, enterprise technology groups, and growing startups who need serious learning without offline attendance.

Useful for Delivery and Product Conversations

You get instructor support not only for implementation questions, but also for system tradeoffs, rollout thinking, and how to explain architecture decisions clearly.

Systems Thinking Over Demo Culture

The program stays focused on system design, evaluation, debugging, and delivery rather than shallow AI demos, which matters more in enterprise and product contexts.

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

What You Will Learn in Practice

Agent Frameworks in Practice

Work with LangChain, LangGraph, CrewAI, and AutoGen to understand which orchestration patterns fit different products and workflow requirements.

Tooling, Contracts, and Execution

Use MCP, LangFlow, and Playwright to think clearly about tool interfaces, browser workflows, and maintainable agent integrations instead of fragile demos.

Retrieval, Evals, and Observability

Build Agentic RAG systems with grounding, reranking, citations, trace review, and evaluation loops so quality becomes easier to inspect and defend.

Deployment and Runtime Thinking

Move beyond notebooks into serving, runtime behavior, failure paths, and deployment choices that matter once AI systems meet real users and stakeholders.

Main Course Page

Explore the Full Agentic AI Syllabus

This page gives you the Delhi-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 Product and Enterprise Teams Learn Agentic AI in Delhi

Delhi has growing demand for people who can move AI work beyond prompts into reviewable systems, delivery-ready workflows, and better product decisions.

Across Delhi's startup ecosystem, consulting firms, enterprise technology groups, product teams, and adjacent NCR hiring markets, the useful shift is toward AI systems that are measurable, governable, and easier to ship responsibly. That makes skills like orchestration, grounding, evaluation, tracing, and rollout thinking more valuable than surface-level prompt familiarity alone.

Why Teams Choose This Agentic AI Course in Delhi

The difference is not just the list of frameworks. It is the focus on reviewable systems, technical delivery, and product-facing clarity.

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 Delhi 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 defend in engineering, consulting, product, and enterprise delivery conversations.

Agentic AI Tools, Systems, and Delivery Skills

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 Delhi

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 Delhi

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 Delhi

Learn with engineers, AI practitioners, 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 helping with role movement.

Peer Group for Delhi Product and Engineering Professionals

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 startups, consulting environments, product teams, enterprise technology groups, and AI organizations in Delhi and beyond, which helps make the network useful for project feedback and role discovery.

Where Delhi Learners and Alumni Work

What Delhi Learners Say After the Course

The biggest difference for me was learning how to evaluate and explain system quality instead of just showing a working demo. That made my project conversations much stronger.
NA
Naman A.
Software Engineer
The product and systems angle helped me understand how to define agent features, risks, and rollout expectations much more clearly.
SR
Sakshi R.
Technical Product Manager
Tracing, retrieval evaluation, and debugging workflows changed how I think about reliability. It felt much closer to real work than most AI courses I had seen.
VP
Vikas P.
Applied AI Engineer
The capstone reviews were useful because they forced me to justify tool choices, tradeoffs, and deployment decisions clearly.
IM
Ishita M.
AI Developer

Companies Hiring Agentic AI Talent in Delhi

Career Opportunities for Agentic AI in Delhi

Across Delhi product teams, consulting firms, enterprise technology groups, and AI-first startups, the useful hiring signal is shifting toward people who can build systems that are measurable, grounded, and easier to ship responsibly.

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 Delhi

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 Delhi FAQs

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