AI System Design
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AI System DesignPOC to Production

A hands-on program for software engineers upskilling into AI engineering, FDE and solution architect roles.

7th November → 13th December
9 AM - 10:30 AM IST, Sat & Sun
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Gaurav Sen and Tanishq Singh

Gaurav Sen

Founder AIEngg

(Ex-Uber, Directi)

Tanishq Singh

AI Engineer, IIT Madras

& University of Birmingham

Trusted by over 500 software engineers

Student Testimonials

As someone who hasn’t touched code for about 20 years, the class exercises helped me get back in the groove. I loved the pace at which we progressed and kudos to the teaching staff to bring many of us, including myself, on a solid footing.

Badri Rama
US

Badri Rama

Director Technology at AT&T, US

I haven’t just learned, but also deployed 2 major projects to production. I am thankful for the learning curve that I have gone through from the internals and fundamentals of AI to depth of Vector DB, RAG, Agentic architectures!

Rajul Babel
IN

Rajul Babel

Principal Engineer (AI) | Ex-Flipkart, Paytm, Amazon

Amisha Manjunath
IN

Amisha Manjunath

Software Engineer at Uber

What You Will Learn

Key Takeaways

AI skills that are essential and job-relevant.

Ship production-grade AI code

Build reliable AI: Agents, RAG, MCP, vector DBs including Evals, guardrails, and observability.

Land AI Engineering roles

Prove it with a real-world capstone portfolio hiring managers can actually see.

Become the AI expert on your team

Spot the right AI use cases and own the room; tradeoffs and decisions your team trusts.

Cohort Outline

Cohort Outline

Your instructors are Gaurav Sen and Tanishq Singh.

Week 1

Theory

  • Single and Multi-Agent Systems

  • Context Engineering in Agents

  • Types of memory in Agents: short and long term

  • Designing basic evals for Agents

Coding

  • Build a scalable and performant agentic application.

ToolsAgent Design PatternsContext Management
Week 2

Theory

  • Update documents without rebuilding vector indexes

  • Build background ingestion pipelines and access control

  • Use scalable search algorithms for improved context

  • Build scalable input and output guardrails

Coding

  • Design a scalable RAG application.

Ingestion pipelinesAccess controlRetrieval Evals
Week 3

Theory

  • Build evaluation datasets for agent actions and tool calls

  • Use LLMs as judge and compare with human evals

  • Automate regression tests for deployment

  • Test prompt injection and unauthorized tool usage

Coding

  • Build an automated eval suite for the agent application.

Agent EvalsLLM-as-a-JudgeRegression testing
Week 4

Theory

  • Build secure APIs and package AI applications

  • Connect databases and background workers

  • Automate testing and deployment using CI/CD

  • Manage containerized AI applications on cloud

Coding

  • Deploy the agentic application to cloud with secure APIs.

Secure APIsCloud deploymentCI/CD
Week 5

Theory

  • Track requests across agent actions and MCP

  • Monitor errors, token usage, and user feedback

  • Apply caching, rate limits, async execution

  • Set up alerts to handle system outages

Coding

  • Add monitoring and performance optimizations to the app.

TracingMonitoringReliability
Week 6

Theory

  • Review system architecture and design choices

  • Validate security, reliability, and production readiness

  • Failure modes, and cost/performance trade-offs

  • Evaluate against real-world use-cases

Coding

  • Present a production grade AI application with a live workflow.

Production capstoneSystem designLive demo
Instructors

Your Cohort Instructors

Gaurav Sen

Gaurav Sen

Software Engineer | Founder, InterviewReady

Gaurav Sen is a Software Engineer with experience designing and building AI systems at InterviewReady. He has also worked with companies like Docker and NeonDB in explaining how to build reliable AI systems. Gaurav has previously spoken at the University of Houston-Texas, IIT Gandhinagar, and BITS Hyderabad.

Tanishq Singh

Tanishq Singh

AI Engineer | IIT Madras | University of Birmingham

Tanishq is an AI Engineer and Master's graduate from IIT Madras and the University of Birmingham, with production experience across FinTech, HealthTech, and EdTech. He has built end-to-end RAG pipelines and multi-agent systems using tools like LangGraph, CrewAI, and AWS Bedrock, with deep expertise in agent orchestration, context engineering, and memory for agentic systems. His evaluation work spans hallucination detection, prompt injection, and guardrail testing.

Investment

Cohort Investment

AI System Design: POC to Production

$2,000

$2,500Launch price

Cohort Starts On Nov 7, 2026

12 Live Classes with Instructors

5 Live Networking sessions

Hands-on production capstone project

45 days of teacher support

Lifetime access to recordings and material

Certificate of Completion

7-day money-back guarantee

Learn how to reimburse this program

Frequently asked questions

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