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All courses / Architecture
INTERMEDIATE · CURRICULUM COURSE
System Design for AI Products
Make architecture decisions around reliability, data, latency and operating cost.
CONCEPT AND CURRICULUM COURSE60 hours
Live, interactive classes with time for every learner's questions and code reviews.
Request this batch A 5–10 learners batch starts once enough learners ask. You confirm and pay only when dates are set.IS THIS FOR YOU?
Start with the right foundation.
Who this course is for
Software engineers and technical leads designing AI-powered products.
Before you begin
Experience with web applications, databases and API-based systems.
YOUR CURRICULUM
Read it.
Try it.
Make it yours.
Work through the modules in order. Use the supporting guide for context, then complete the practice task before moving on.
Written lessons and self-guided practice. Live sessions and mentorship are arranged separately.
01Start with constraints
Architecture begins with users, data, workload and quality goals. Name the constraints that matter, such as latency, access boundaries, budget and failure tolerance.
PUT IT INTO PRACTICE
Read the supporting guideWrite measurable requirements for one AI feature and identify the highest-risk assumption.
02Define boundaries
Separate the interface, application logic, model access and data retrieval. Draw which component owns each decision and how failures cross those boundaries.
PUT IT INTO PRACTICE
Read the supporting guideCreate a system diagram with inputs, outputs, data ownership and trust boundaries.
03Budget latency and cost
A model call is one part of the end-to-end path. Consider retrieval, queuing and retries. Estimate from workload assumptions, then measure before committing to an optimisation.
PUT IT INTO PRACTICE
Read the supporting guideBuild a simple per-request latency and cost worksheet with your assumptions labelled.
04Design graceful failure
Decide what the product does when a dependency is slow or unavailable. Timeouts, bounded retries and a useful fallback should be designed together.
PUT IT INTO PRACTICE
Read the supporting guideDocument failure responses for the model, database and retrieval service.
05Record and evaluate decisions
Explain alternatives and trade-offs in a decision record. Define the evidence that would make you revisit the choice. Review architecture with representative workloads.
PUT IT INTO PRACTICE
Read the supporting guideDeliver the architecture brief with three decision records and a test plan.
AFTER YOU FINISH
A certificate, and support for what comes next.
Finishing System Design for AI Products is planned to include the support below. It opens with the first batch; enrolment pages confirm what is included before you pay.
Completion certificate
Issued with a unique ID once your final project passes review. It records what you built, not just attendance.
Certification policyJob-readiness support
Portfolio and GitHub review, resume feedback, a mock interview and referrals when suitable openings come up. No placement guarantee.
Career mentorshipFreelancing support
Guidance on pricing, proposals and your first client project, plus a review of your freelance profile and portfolio.
Build client-style projectsStartup community
An invite to the Innovate with Ajay community to meet builders, find co-founders, join hackathons and get feedback on product ideas.
Explore the communityYOUR NEXT LEARNING STEP
Want to learn this?
Share your interest. We’ll confirm availability, batch dates and the fee separately, so you can decide when the details are ready.
- Your course is already selected
- Just your name and email to get started
- No payment or booking commitment
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