AI System Design POC to Production
AI System Design for software engineers to build scalable AI solutions into production.
86 Enrolled
Gaurav Sen
Founder AIEngg
(Ex-Uber, Directi)
Tanishq Singh
AI Engineer, IIT Madras
& University of Birmingham
Trusted by 600+ engineers across US, India and rest of the world
Cohort Syllabus
Your instructors are Gaurav Sen and Tanishq Singh.
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.
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.
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.
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.
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.
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.
Your Cohort Instructors
Gaurav Sen
Founder AIEngg.dev | Ex-Uber, Directi
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
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.
Cohort Investment
$2,500
- 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