Azure AI
Building and certifying on Microsoft's AI stack — Microsoft Foundry, Azure OpenAI, and AI-900/AI-103 certification prep.
One-time course fee
Who should take this?
Cloud, platform, data, and application professionals building within Azure, AWS, or Google Cloud environments.
Capability developed
Select, configure, secure, and deliver managed AI services and production pipelines on a major cloud platform.
Professional application
Cloud AI implementation, platform delivery, certification-backed technical work, or enterprise integration.
What’s inside this track
- 1AI Fundamentals on Azure (AI-900 track)
Build: AI-900 practice review.
Evidence: Passes AI-900-level conceptual questions cold.
- 2Azure AI Services & Microsoft Foundry
Build: Deploy and call an Azure OpenAI model from Microsoft Foundry.
Evidence: Comfortable navigating the actual Microsoft Foundry console, not just the theory.
- 3Building & Evaluating Copilots
Build: A working copilot with Prompt Flow evaluation attached.
Evidence: Can build and evaluate a real Azure-hosted copilot.
- 4AI-103 Certification Push
Build: Capstone: a full AI-103 mock exam plus gap review.
Evidence: Exam-ready for the current Azure AI Apps and Agents Developer Associate certification. (AI-102, the prior credential, was retired June 30, 2026.)
What you get
What you will own
Not a promise — a concrete list of what you personally build and can show a buyer, pulled from this course’s real curriculum.
- A working project: AI-900 practice review.
- A working project: Deploy and call an Azure OpenAI model from Microsoft Foundry.
- A working project: A working copilot with Prompt Flow evaluation attached.
- A working project: Capstone: a full AI-103 mock exam plus gap review.
- A completed capstone: Enterprise Help Desk Copilot Deployment & Certification Readiness, scored across multiple dimensions
- A portfolio entry documenting how you built it, not just that you finished
- Verified skill evidence — tied to real work, not a self-rating
What you’ll prove — and own — by the end
Completion isn’t the finish line. This is what turns the course into evidence you can actually use.
Personalised from day one
A short entry diagnostic flags which modules to move through quickly and which to slow down on — the full curriculum stays available either way.
Evidence, not checkmarks
Skills track through a real mastery ladder — module completed, exercise practiced, project shipped — not just “lesson viewed.”
Your Final real-world project, AI-defended
Enterprise Help Desk Copilot Deployment & Certification Readiness — submit real work, defend your decisions to an AI interviewer, get scored feedback across multiple dimensions.
A portfolio you can use today
Turn a finished project into a case study, resume bullets, and an interview story — drafted from your real work, yours to review before you use it anywhere.
Connect this course to practical work
See how Ropes links a skill to a business problem, portfolio proof, a bounded service, and responsible client delivery. No client or income outcome is guaranteed.
Earnings potential
A simple illustration of how freelancers commonly structure retainer pricing once they’re taking on client work.
Cloud AI implementation
Illustrative example — your results will vary based on niche, effort, and client base.
Industry snapshot
Real, sourced research — current tools, market signal, and named case studies, each with a citation. Not marketing copy.