CHOOSE WITH CLARITY
Compare our live online courses.
ShawGrid Academy offers seven independent tracks for developers, IT professionals, business teams and leaders. Start with the work you want to do, then check the foundations and time you can commit.
These are planned November 2026 founding cohorts. Named faculty, capacity and final timetables will be confirmed before paid admission.
| Course | Duration | Hours per week* | Tuition | Planned start |
|---|---|---|---|---|
| Applied AI & Agentic AI Engineering | 12 weeks | 8.5 | ₹34,900 | 7 Nov 2026 |
| Role-specific AI Automation | 6 weeks | 7 | ₹19,900 | 3 Nov 2026 |
| AI Leadership & Business Transformation | 6 weeks | 4 | ₹29,900 | 7 Nov 2026 |
| Cloud & DevOps Engineering | 12 weeks | 8.5 | ₹34,900 | 7 Nov 2026 |
| Practical Cybersecurity | 16 weeks | 8.5 | ₹44,900 | 7 Nov 2026 |
| Data Engineering | 12 weeks | 8.5 | ₹34,900 | 3 Nov 2026 |
| System Design & AI-assisted Engineering | 10 weeks | 7 | ₹24,900 | 4 Nov 2026 |
*Average total effort, including live classes and estimated independent practice. No separate pre-recorded video library is included; any live-session replays repeat the live teaching and are not counted again. GST is currently not charged. External certification exams and paid tool subscriptions are extra unless included in your written offer.
Which course fits your background?
Applied AI & Agentic AI Engineering
Build useful AI applications, evaluate their behaviour, and deploy agent workflows with the controls needed for real users.
Designed for: Software developers adding AI to products; Backend and full-stack engineers; Technical founders with coding experience.
Before you start: Working knowledge of Python or JavaScript; Comfort with HTTP APIs and Git; Basic SQL and a laptop suitable for development.
Live timetable: Saturday & Sunday · 10:00–11:30 IST. 36 live hours across 12 weeks.
Project example: Evidence-backed knowledge assistant — Create a document assistant with citations, retrieval tests, access boundaries and an evaluation report.
View curriculum, outcomes and application details →Role-specific AI Automation
Turn a repetitive finance, sales, HR or operations workflow into an auditable automation that people can use and maintain.
Designed for: Finance, sales, HR and operations professionals; Small-business owners; Team leads responsible for repetitive processes.
Before you start: Spreadsheet and everyday digital-tool familiarity; Access to a sample workflow or anonymised sample data; No programming background required.
Live timetable: Tuesday & Thursday · 19:00–20:30 IST. 18 live hours across 6 weeks.
Project example: Invoice review assistant — Extract sample invoice fields, identify missing information, and route exceptions to a human reviewer.
View curriculum, outcomes and application details →AI Leadership & Business Transformation
Build an actionable AI adoption roadmap, choose investments sensibly, and guide implementation with measurable outcomes and governance.
Designed for: Managers and functional leaders; Founders and business owners; Transformation and strategy professionals.
Before you start: Experience owning a business process or team; Basic spreadsheet and presentation skills; A business problem to explore; no coding required.
Live timetable: Saturday · 16:00–18:00 IST. 12 live hours across 6 weeks.
Project example: 90-day AI adoption roadmap — Create a prioritised portfolio, ownership model, timeline and pilot success criteria for one organisation.
View curriculum, outcomes and application details →Cloud & DevOps Engineering
Deploy an application with repeatable infrastructure, automated releases and the monitoring required to operate it responsibly.
Designed for: Developers moving into infrastructure ownership; IT professionals pursuing cloud engineering; Engineers strengthening deployment and reliability skills.
Before you start: Basic programming and Git; Linux terminal familiarity or willingness to complete preparation; HTTP, networking and application fundamentals.
Live timetable: Saturday & Sunday · 13:00–14:30 IST. 36 live hours across 12 weeks.
Project example: Repeatable cloud delivery platform — Provision infrastructure, deploy a container application through CI/CD and demonstrate rollback.
View curriculum, outcomes and application details →Practical Cybersecurity
Develop defensive security skills through controlled labs, application reviews, incident exercises and clear technical reporting.
Designed for: IT and infrastructure professionals; Developers moving toward application security; Early-career security practitioners.
Before you start: Networking and operating-system basics; Comfort with a Linux terminal; Basic scripting helpful; all exercises use authorised lab environments.
Live timetable: Saturday & Sunday · 18:00–19:30 IST. 48 live hours across 16 weeks.
Project example: Application security review — Assess a deliberately vulnerable local application, explain findings and verify fixes.
View curriculum, outcomes and application details →Data Engineering
Build reliable data pipelines from ingestion through transformation, testing and analytics, with clear operational ownership.
Designed for: Software engineers entering data infrastructure; Analysts moving beyond reporting; Data professionals strengthening production pipelines.
Before you start: Basic Python programming; SQL joins and aggregations; Git familiarity and understanding of tabular data.
Live timetable: Tuesday & Thursday · 20:00–21:30 IST. 36 live hours across 12 weeks.
Project example: E-commerce analytics pipeline — Load sample orders and events, build tested analytical models and publish documented metrics.
View curriculum, outcomes and application details →System Design & AI-assisted Engineering
Design, implement and test a system under realistic constraints, while learning to review AI-generated code and architectural proposals.
Designed for: Engineers preparing for senior responsibilities; Developers preparing for system-design interviews; Technical leads reviewing architecture and AI-assisted changes.
Before you start: Experience building and deploying a web application; Familiarity with APIs, databases and testing; Working knowledge of one backend language.
Live timetable: Wednesday & Friday · 19:00–20:30 IST. 30 live hours across 10 weeks.
Project example: Reliable seat-booking system — Design and implement reservation expiry, concurrency protection and idempotent confirmation using sandbox payments.
View curriculum, outcomes and application details →How should you choose?
- Pick one practical outcome you want to demonstrate in your current or next role.
- Check the prerequisites and choose a project you would want to build.
- Reserve time for live workshops and independent work, not just videos.
- Read the written admission offer and refund policy before payment.
Combining courses increases your workload. Some weekday schedules overlap, so check both course timetables first. Applying is free and does not confirm a seat. These programmes do not guarantee a job or salary increase.
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