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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. 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.

Curriculum

6 modules. One real workflow.

01
Claude fundamentals
What an LLM is, token thinking, strengths, limits, and safe expectations
02
Planning before coding
Requirement gathering, context shaping, CLAUDE.md, and plan mode.
03
Testing and feedback loops
Test case generation, TDD-oriented use, and controlled iteration.
04
Engineering operations
Git usage, commit hygiene, CI/CD thinking, and production readiness.
05
Building with discipline
Development kick-off, task decomposition, and safe delegation to AI.
06
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