Software Engineers
Wanting to 10x their output with AI-assisted workflows.
Hands-on Claude Code training
Stop chatting with AI. Start shipping with it.
Engineer-to-engineer Claude Code training. Plan, build, test, and deploy real production code — with Git discipline, CLAUDE.md, and the workflow habits that hold up in code review.
- Plan
- Build
- Test
- Deploy
Audience
Who is this for?
Built for engineers who already write code — and want to use AI without surrendering their judgment.
Tech Leads
Building AI-assisted development workflows for their teams.
Practical Developers
Tired of random prompt gambling and want real structure.
CS Students
Who can code and want to build real-world AI skills early.
Featured trainings
Real engineering, not motivational fluff.
Each program is project-driven, taught by practitioners, and designed for engineers who want to ship — not watch.
Claude Code (For Professionals)
Production-grade AI engineering
Hands-on training program designed to help developers build faster, smarter, and more reliable applications using Claude Code.
Claude Code (For Students)
Production-grade AI engineering
Hands-on training program designed to help fresh graduates/Junioe Engineers build faster, smarter, and more reliable applications using Claude Code.
Stop using AI like a chat agent. Start using it like a peer engineer.
Online courses are great for ideas and exposure. Real engineering needs more judgment, structure, discipline, and confidence in real-world delivery.
Our position
This workshop is for engineers who want to move beyond prompts and demos, and learn to use AI in a way that holds up in production.
Online course
- Learn by watching
- Good for concepts and exposure
- Limited real-time feedback
- Easy to consume
- Focused on features and prompts
- Shows what AI can do
Hands-on, engineer-to-engineer
- Learn by building
- Built for practical execution
- Direct guidance from practicing engineers
- Easier to internalize through live practice
- Focused on workflow, judgment, and delivery
- Shows how to use AI properly in real engineering
What makes this different
We train engineers to use AI like engineers.
Engineer to engineer
Taught by practitioners who build software daily, in a language developers actually respect.
Hands-on
Not passive video watching. Not abstract AI theatre. Real workspace, real code, real practice.
Project-driven
The workshop centers around a real build flow, not disconnected demos or isolated exercises.
Production mindset
Requirements, implementation, tests, change requests, and iteration. Ship-ready, not demo-ready.
TDD-aware
Use AI to accelerate confidence, not bypass it. Test case generation and controlled iteration.
Structured Claude Code usage
Plan mode, context shaping, CLAUDE.md, Git discipline, CI/CD awareness, and engineering judgment.
Instructors
Practitioners, not lecturers.
Engineers who ship — teaching the workflow they actually use.
Fahad Khalil
Engineering & Delivery Lead
ADAX (AUS)
Engineering leader with deep experience in delivery management, agile methodology, and hands-on architecture. Has built AI-assisted development workflows and led teams shipping production software across startups and enterprises. Believes engineering discipline is the foundation that makes AI tools actually useful.
Gohar Ul Islam
CEO & Co-Founder, GrayMath
18+ years in software engineering
Full-stack engineer turned technical founder with 18+ years of shipping software. Has built SaaS products from scratch, maintained hands-on coding practice while scaling teams, and developed deep expertise in dynamic software delivery, CI/CD pipelines, and growth engineering. Brings real-world implementation rigor to every session.
Common questions
Frequently asked questions.
Why does this course exist?
Claude Code can dramatically boost developer output, but speed without discipline creates fragile systems and expensive rework. This course teaches engineers how to use AI inside a real engineering workflow — plan, build, test, and ship with accountability.
Is this a beginner course?
It assumes you have programming experience. No prior AI tool experience is needed, but you should be comfortable with a code editor, terminal, and Git basics.
Why is it in-person only?
Hands-on AI-assisted coding is much harder to teach effectively over video. The in-person format allows instructors to observe and correct workflow habits in real time.
What should I bring?
Your laptop with VS Code installed. Detailed setup instructions will be shared with registered participants before the course.
How does project voting work?
Before the course, instructors share a set of project choices. Registered participants vote, and the selected project is used during the workshop.
When do I pay?
Payment is completed after registration. You will receive payment instructions on-screen and by email immediately after registering.
What if the batch is full?
Register your interest and you will be notified when the next batch opens. Interest registrations are reviewed in order.
Can I get a refund?
Please review our refund and cancellation policy for full details on cancellations, transfers, and refunds.
Need clarity before registering?
Ask about the course.
Use the contact page for questions about batch timing, course fit, logistics, or enrollment.
Send Inquiry