TRACK 01 / AI ENGINEERING
Applied AI & Agentic AI Engineering
Build useful AI applications, evaluate their behaviour, and deploy agent workflows with the controls needed for real users.
A CLEAR DESTINATION
What you’ll be able to do.
Build retrieval-augmented applications with traceable answers
Implement agent workflows with approvals and bounded tool access
Evaluate quality, latency and cost against a test set
Deploy and monitor an AI service with a documented failure strategy
Built for you if…
Software developers adding AI to products
Backend and full-stack engineers
Technical founders with coding experience
Before you begin
Working knowledge of Python or JavaScript
Comfort with HTTP APIs and Git
Basic SQL and a laptop suitable for development
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 1–2AI application foundations
- LLM capabilities and limitations
- Tokens, context and structured outputs
- API integration and prompt versioning
- Building a baseline application
02WEEKS 3–4Retrieval that can be evaluated
- Document parsing and chunking
- Embeddings and vector search
- Hybrid retrieval and reranking
- Citations, freshness and retrieval evaluation
03WEEKS 5–6Tool use and agent workflows
- Function calling and tool schemas
- Stateful workflows and retries
- Human approvals and access boundaries
- Separating instructions from untrusted content
04WEEKS 7–8Evaluation and application safety
- Golden datasets and task-based metrics
- Prompt injection and data boundaries
- Regression testing and error analysis
- Red-team exercises in a sandbox
05WEEKS 9–10Production engineering
- Queues, rate limits and caching
- Latency and token-cost budgets
- Tracing, monitoring and fallbacks
- Container deployment and release checks
06WEEKS 11–12Capstone delivery and review
- Scope and acceptance criteria
- Build and evaluate a working prototype
- Architecture and security review
- Demonstration and technical handover
PROOF YOU CAN SHOW
Build something that matters.
Choose a capstone direction and demonstrate your decisions, implementation and results.
Evidence-backed knowledge assistant
Create a document assistant with citations, retrieval tests, access boundaries and an evaluation report.
Human-reviewed operations agent
Build an agent that drafts an operational action, requests approval, and records every tool call.
AI support triage service
Classify sample tickets, retrieve relevant guidance and route uncertain cases with a measurable quality baseline.
EXPERIENCE THAT TRANSFERS
Learn from people who do the work.
The instructor profile
Senior AI/application engineer with deployed LLM applications. Practical experience with evaluation, observability, data permissions and inference cost. Sample teaching lesson and reviewed capstone evidence required.
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. 10 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.