Masterclasses · Advanced
Agentic AI Engineering
Design, build and operate production agent systems: tool use, orchestration, memory, evaluation, safety and cost control.
The flagship masterclass for engineers. Over six weeks you will build a production-grade multi-agent system end to end — tool-using agents, orchestration graphs, memory architectures, evaluation harnesses and deployment patterns — with code review from principal engineers who run agentic systems in production.
Who it's for
Software engineers, ML engineers, platform teams. Python required.
Tools & stack
What you'll walk away with
- Architect single- and multi-agent systems with clear failure boundaries
- Implement tool use, structured output and function-calling reliably
- Design memory: short-term, episodic, and knowledge-grounded (RAG)
- Build evaluation harnesses and regression suites for agent behaviour
- Deploy with observability, guardrails, cost budgets and kill-switches
Curriculum
01Agent fundamentals
- Agent loops and planning
- Tool schemas that models respect
- Error recovery patterns
- Lab: first tool-using agent
02Orchestration at scale
- Orchestrator–worker patterns
- Parallel fan-out and pipelines
- State machines vs free planning
- Lab: multi-agent workflow
03Memory & grounding
- RAG done properly
- Chunking and embedding strategy
- Episodic memory design
- Lab: knowledge-grounded agent
04Evaluation & safety
- Behavioural test suites
- LLM-as-judge with calibration
- Prompt-injection defence
- Lab: evaluation harness
05Production operations
- Tracing and observability
- Cost architecture and routing
- Latency engineering
- Lab: instrumented deployment
06Capstone
- Ship a reviewed agent system
- Principal-engineer code review
- Architecture defence session
- Certification
Pricing
Value-based
Two-part: a one-time enablement fee plus a per-seat rate that falls as the cohort grows.
Indicative rate card · ≈ ₹7,999/hr · $200/hr
Seats limited
Choose a cohort
New cohort dates announced weekly — enrol now and pick your dates with an advisor.
Pay by PO · nothing upfront · net 30 days · GeM & tender-ready
Or reserve a seat online
₹7,999deposit
Reserves your seat & dates. Balance invoiced per your engagement.
Secure · Razorpay · full refund 7+ days before start
Every enrolment includes
- • Qube copilot access throughout
- • All session recordings & materials
- • Graded applied project with review
- • Verifiable certificate on completion
- • 30-day post-programme support
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