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Online 6 Hours

Claude Code (For Students)

Production-grade AI engineering

Hands-on training program designed to help fresh graduates/Junioe Ehgineers build faster, smarter, and more reliable applications using Claude Code. The course focuses on real-world development workflows, AI-assisted coding, debugging, refactoring, and productivity best practices. Participants will learn how to use Claude Code effectively for frontend, backend, testing, and project automation tasks. This training is ideal for developers, tech teams, and professionals who want to upgrade their software development skills with AI-powered tools.

#Training Prerequisites To get the most out of this training, all registered students will receive a pre-reading pack ahead of the first session. It is self-paced and designed to take no more than a few hours.

The pack covers two foundational areas:

##Git & Version Control Comfort with Git is essential. The material walks through core concepts — commits, branching, merging, and working with remote repositories — so you arrive ready to focus on the training content itself.

##Programming Best Practices A concise refresher on writing clean, maintainable code: naming conventions, keeping functions small and focused, avoiding common pitfalls, and structuring a codebase for readability. These habits are assumed throughout the training.

Students already confident in both areas can treat the pack as a quick reference rather than required study.

Duration
6 Hours
Format
Online
Training Dates & Time
Jul 18, 2026
Curriculum

10 modules. One real workflow.

01
GitHub fundamentals
Git branching, Switch/Pull Branch, Branch Merging, Pull requests, Issues
02
Claude fundamentals
What an LLM is, token thinking, strengths, limits, and safe expectations
03
Best coding precticies
Introduction to software development best practices.
04
Planning before coding
Requirement gathering, context shaping, CLAUDE.md, and plan mode.
05
Spec-driven development with AI
Live demo of a feature built end to end with a proper spec.
06
Claude skills
How to manage/use claude skills for software developments
07
Testing and feedback loops
Test case generation, TDD-oriented use, and controlled iteration.
08
Engineering operations
Git usage, commit hygiene, CI/CD thinking, and production readiness.
09
Building with discipline
Development kick-off, task decomposition, and safe delegation to AI.
10
Change management
Add features, adjust direction, handle revisions, and keep context intact.
Instructors

Taught by 2 practitioners.

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.

  • Engineering delivery
  • AI-assisted dev
  • Agile & team building
  • Architecture
LinkedIn

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.

  • Full-stack engineering
  • SaaS & CI/CD
  • Growth engineering
  • AI workflows
LinkedIn