api/Backend and full-stack developers
Add LLM features, tools and agents to the services you already build.
AI Engineer Course · Live · Online
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.
Who this is for
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/Add LLM features, tools and agents to the services you already build.
etl/Move from pipelines to retrieval, agent state and evaluation sets.
infra/Run AI systems with the observability, security and rollout you already know.
tests/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.
You shipDiscovery pack, success measures and pilot scope
You shipInfrastructure inventory and health-check checklist
You shipTested Linux health-check utility
You shipMonitoring API with an operator review flow
You shipRepeatable AWS / Docker / Terraform lab
You shipOperational assistant and initial evaluation set
You shipTool-enabled infrastructure assistant
You shipApproval-aware investigation graph
You shipRead-only Linux MCP server and test client
You shipLinux, AWS and ServiceNow tool services
You shipPermission-aware runbook assistant and retrieval evaluation
You shipPersistent execution, approval and audit records
You shipLinux / AWS / ServiceNow demo and feedback record
You shipMetrics, traces, logs, cost and agent dashboards
You shipThreat model, tests and go/no-go review
You shipMonitored pilot, UAT evidence and customer handover
How it runs
15
Small enough that a mentor can look at your code, answer when you are stuck and review what you built.
16
One deliverable a week, from a discovery pack to a monitored pilot. That becomes your portfolio.
2
Live online classes with weekday and weekend options, so you can join while working full time.
Your mentors
Classes are led live. You ask questions and get feedback from the people who designed the course.
Lead FDE · 15 years in IT
Builds AI for multinational clients as a Forward Deployed Engineer. Previously at HCL, Accenture, HP and Wipro.
Founder, SOBAI Solutions · BITS Pilani alumnus
AI solutions architect who designs intelligent systems and workflow automation for businesses. Previously at Otis.
Questions
Yes. Every session is live and mentor-led, online. Recordings and materials stay available to you after the course.
Yes. Batches run with weekday and weekend options. Tell the adviser your work hours and they will suggest a batch that fits.
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.
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.
₹34,999 including GST, with server access and limited API usage included. Groups of five can ask for a group fee.
A new batch starts every two weeks. Send your details and the adviser will share the next start date and timings.
Get the full syllabus, the next batch date and a call with an adviser.