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AI Engineer Course · Live · Online

You already write code. Learn to ship AI systems people use.

A 16-week, mentor-led course for working developers. Every week ends with something you built: an API, an agent, an MCP server, a production checklist, and finally a monitored pilot you hand over.

  • 16 weeks
  • Max 15 per batch
  • ₹34,999 incl. GST
  • New batch every 2 weeks

Get the full syllabus and batch dates

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LinuxPythonAPIsAWSDockerTerraformClaudeLangChainLangGraphMCPServiceNowRAGPostgreSQLRedisObservability

Who this is for

Built for people who already ship software

You know how to write and debug code. This course adds what AI work needs on top: LLMs, agents, retrieval, evaluation and getting it safely into production.

api/

Backend and full-stack developers

Add LLM features, tools and agents to the services you already build.

etl/

Data engineers

Move from pipelines to retrieval, agent state and evaluation sets.

infra/

DevOps and cloud engineers

Run AI systems with the observability, security and rollout you already know.

tests/

QA engineers and SDETs

Turn testing skill into AI evaluation, guardrails and go/no-go reviews.

Weeks 3 and 4 move quickly through Python engineering. If you have never written code, start with a foundations course first and talk to us about which one.

Weeks 1–5

Discovery and engineering foundations

Week01

FDE foundations and customer discovery

You shipDiscovery pack, success measures and pilot scope

Week02

Linux, networking and operations

You shipInfrastructure inventory and health-check checklist

Week03

Python engineering fundamentals

You shipTested Linux health-check utility

Week04

Python APIs and integrations

You shipMonitoring API with an operator review flow

Week05

Cloud, automation and deployment

You shipRepeatable AWS / Docker / Terraform lab

Weeks 6–10

LLMs, orchestration and enterprise tools

Week06

LLM foundations and Claude integration

You shipOperational assistant and initial evaluation set

Week07

LangChain application development

You shipTool-enabled infrastructure assistant

Week08

LangGraph stateful orchestration

You shipApproval-aware investigation graph

Week09

MCP fundamentals

You shipRead-only Linux MCP server and test client

Week10

MCP enterprise integration

You shipLinux, AWS and ServiceNow tool services

Weeks 11–13

Knowledge, data and integrated workflows

Week11

RAG and enterprise knowledge

You shipPermission-aware runbook assistant and retrieval evaluation

Week12

PostgreSQL, Redis and agent state

You shipPersistent execution, approval and audit records

Week13

Enterprise integration reference lab

You shipLinux / AWS / ServiceNow demo and feedback record

Weeks 14–16

Evaluation, operations and handover

Week14

Application and agent observability

You shipMetrics, traces, logs, cost and agent dashboards

Week15

Production readiness and security

You shipThreat model, tests and go/no-go review

Week16

Client-scoped capstone

You shipMonitored pilot, UAT evidence and customer handover

How it runs

Small, live and built around your work

15

Learners per batch, at most

Small enough that a mentor can look at your code, answer when you are stuck and review what you built.

16

Things you finish

One deliverable a week, from a discovery pack to a monitored pilot. That becomes your portfolio.

2

Weeks between new batches

Live online classes with weekday and weekend options, so you can join while working full time.

Your mentors

Taught by people who do this work

Classes are led live. You ask questions and get feedback from the people who designed the course.

GS

Gaurav S

Lead FDE · 15 years in IT

Builds AI for multinational clients as a Forward Deployed Engineer. Previously at HCL, Accenture, HP and Wipro.

Vineet Gupta

Vineet Gupta

Founder, SOBAI Solutions · BITS Pilani alumnus

AI solutions architect who designs intelligent systems and workflow automation for businesses. Previously at Otis.

Fee

₹34,999incl. GST

One fee for the full 16 weeks. Enrolling as a group of five? Ask us about the group fee.

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  • Live, mentor-led classes
  • Server access and limited API usage
  • 16 weekly deliverables for your portfolio
  • Resume review
  • Interview preparation
  • Placement assistance
  • Lifetime access to materials and recordings
  • Weekday and weekend batch options
  • Career support is for enrolled learners. Terms apply.

Questions

Before you enquire

Are the classes live?

Yes. Every session is live and mentor-led, online. Recordings and materials stay available to you after the course.

Can I do this while working full time?

Yes. Batches run with weekday and weekend options. Tell the adviser your work hours and they will suggest a batch that fits.

Do I need coding experience?

Yes. The course is designed for people who already write code. Weeks 3 and 4 cover Python engineering at a working pace, so complete beginners should start with a foundations course.

What will I have built by the end?

Sixteen pieces of work, one per week. They include a monitoring API, an MCP server, a permission-aware RAG assistant, observability dashboards, a threat model and a monitored pilot with a customer handover.

How much does it cost?

₹34,999 including GST, with server access and limited API usage included. Groups of five can ask for a group fee.

When does the next batch start?

A new batch starts every two weeks. Send your details and the adviser will share the next start date and timings.

Ready to see if this fits where you want to go?

Get the full syllabus, the next batch date and a call with an adviser.

₹34,999
16 weeks · live
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