TRACK 07 / SOFTWARE ARCHITECTURE
System Design & AI-assisted Engineering
Design, implement and test a system under realistic constraints, while learning to review AI-generated code and architectural proposals.
A CLEAR DESTINATION
What you’ll be able to do.
Turn ambiguous requirements into measurable system goals
Defend database, cache, queue and service choices
Implement a critical workflow and test failure modes
Review AI-generated code and architecture using explicit checks
Built for you if…
Engineers preparing for senior responsibilities
Developers preparing for system-design interviews
Technical leads reviewing architecture and AI-assisted changes
Before you begin
Experience building and deploying a web application
Familiarity with APIs, databases and testing
Working knowledge of one backend language
Your working toolkit
STEP BY STEP. WEEK BY WEEK.
The curriculum.
From foundations to a reviewed capstone. Open each module to explore the lessons.
01WEEKS 1–2Requirements and design reasoning
- Functional requirements and quality goals
- Capacity and latency estimates
- API boundaries and data models
- Trade-off explanations and design reviews
02WEEKS 3–4Data and distributed workflows
- Transactions and consistency
- Idempotency and duplicate events
- Queues, retries and reconciliation
- Choosing relational and non-relational storage
03WEEKS 5–6Scale, reliability and security
- Caching and invalidation
- Rate limits and load management
- Availability and failure recovery
- Authentication, authorisation and data boundaries
04WEEKS 7–8AI-assisted implementation and review
- Prompting with concrete constraints
- Reviewing generated code and test coverage
- Detecting unsafe assumptions and edge cases
- Load tests, traces and bottleneck analysis
05WEEKS 9–10Capstone and architecture defence
- Implement a critical system workflow
- Failure drill and performance report
- Document decisions and alternatives
- Mock architecture review and revisions
PROOF YOU CAN SHOW
Build something that matters.
Choose a capstone direction and demonstrate your decisions, implementation and results.
Reliable seat-booking system
Design and implement reservation expiry, concurrency protection and idempotent confirmation using sandbox payments.
Notification delivery platform
Build queued delivery with retries, deduplication, status tracking and load-test evidence.
AI feature architecture review
Review a proposed AI service, implement a critical path and justify evaluation, cost and fallback choices.
EXPERIENCE THAT TRANSFERS
Learn from people who do the work.
The instructor profile
Senior or staff engineer who has owned production systems. Evidence of architecture decisions, incident learning and mentoring. Experience assessing AI-generated code and explaining trade-offs in mock reviews.
Named faculty to be announced before admissionOur selection process includes a sample lesson and practical assessment review. Instructor requirements describe the expertise we are recruiting; they are not claims about confirmed faculty.
MAKE ROOM FOR YOUR NEXT MOVE
Your time. Your investment.
Live workshops
Ask, practise, review
Recorded learning
Prepare at your pace
Independent practice
Build and apply
All times are IST. The timetable assumes no holiday breaks; any changes will be shared before admission. 8 hours of total learning effort per week.
Included in launch tuition
Live sessions and cohort recordings
Recorded preparation and resources
Assignments and project reviews
Assessment-based academy completion certificate
External certification exams, paid tool subscriptions and applicable taxes are additional unless included in your admission offer. Recording access is planned for six months after completion. Once admitted, you can pay securely through your personal payment invitation. Final terms and refund policy are shown before payment.
GOOD QUESTIONS. CLEAR ANSWERS.
A little more
clarity.
Know what you’re signing up for.
When do the November batches start?
The seven tracks launch independently on 3, 4 or 7 November 2026. Every course page shows its planned start, final session, application deadline and weekly live schedule in Indian Standard Time. Faculty and the final timetable will be confirmed before paid admission.
Are the programmes live or recorded?
Both. Short recorded lessons prepare you for live workshops, practical exercises and reviews. The workload table separates live sessions, recorded content and independent project work. Recordings and resources are planned to remain available for six months after completion.
Can I take more than one track?
Yes, subject to prerequisites and capacity. The cohorts run independently. Check live-session overlaps and combine the weekly workload before applying; some weekday tracks overlap. You can submit a separate application for each track.
Do I need prior coding experience?
Applied AI, data engineering and senior engineering assume programming foundations. Cloud and security tracks require basic IT familiarity. Role-specific automation and AI leadership are designed for business professionals; their course pages list the exact prerequisites.
Who will teach the programmes?
We are selecting instructors with relevant production experience and demonstrable teaching ability. Each course page describes the required instructor profile. Named faculty will be announced and confirmed before admission; no employer or university affiliations are implied.
What is included in the fee?
The listed launch tuition covers the proposed live teaching, recorded preparation, assignments and cohort project reviews. Applicable taxes, external certification exams and paid tool subscriptions are extra unless included in your final offer. A written refund and cancellation policy will be supplied before payment.
Does applying confirm my enrolment?
No. Applying is free and records your interest. We review your background and learning goals, confirm the programme and faculty details, and then share an admission offer. After admission approval, your invitation lets you review the final fee and written terms before paying securely.
Is a job or salary increase guaranteed?
No. The programmes focus on demonstrable skills and reviewed projects. Any ShawGrid Academy completion certificate is based on assessment requirements; it is not a university qualification or a placement guarantee.
THERE’S A NEXT VERSION OF YOU.