Get a $150K to $250K+ Job in Azure AI, ML & Gen AI & Agentic AI.
A hands-on program where you build real things with Azure AI/ML — designed for architects, developers/builders, and engineers who learn by doing it, not by watching slides.
12 modules. Three layers. One clear path to a job.
M01–M08 are shared by everyone. M09–M12 split into three role-based tracks — Architect, Developer, or MLOps Engineer. Pick the one that matches where you want to go.
Two layers for everyone. Then you choose your path.
The first two layers are mandatory for all learners — they build your cloud and AI foundations. After that, pick the specialist track that matches your role and ambition.
Cloud for Beginners
IaaS, PaaS, SaaS, regions, availability zones, pricing models, and why cloud matters.
Data for Beginners
Structured vs unstructured data, databases, ETL basics, Azure data services, and why good data powers good AI.
AI, ML, GenAI & Agentic AI for Beginners
What AI, ML, deep learning, and GenAI really mean. Real use cases, LLMs explained, and intro to Azure AI services.
Azure for Beginners
Azure portal, subscriptions, core services (Compute, Storage, Networking), Active Directory, and governance basics.
AZ-900 — Microsoft Azure Fundamentals
Cloud concepts, core Azure services, pricing, SLAs, governance, and compliance. Full exam prep included.
AZ-900AI-901 — Azure AI Fundamentals
AI workloads, ML principles, computer vision, NLP, GenAI workloads, Azure OpenAI, and responsible AI.
AI-901AB-900 — Copilot & Agent Administrator Fundamentals
Copilots, AI agents in the Microsoft ecosystem, Copilot Studio, Microsoft Purview, and enterprise agent deployment.
AB-900Track 1 — AI Solution Architect
Design, govern, and scale enterprise AI solutions on Azure. Covers GenAI solution design, agentic architecture, enterprise patterns, and AI governance.
Track 2 — AI Developer / Builder
Build, integrate, and ship production GenAI apps, AI agents, RAG systems, and cloud-native AI pipelines using Python and Azure.
Track 3 — Platform Engineer / MLOps
Train, deploy, and operate ML models at scale. MLOps pipelines, CI/CD for ML, model monitoring, and GenAIOps — for those committed to the platform engineering path.
Who should choose Track 3?
Track 3 (Platform Engineer / MLOps) is for learners specifically targeting roles in ML infrastructure, model deployment, and operations — like MLOps Engineer, ML Platform Engineer, or Azure ML Specialist. If you're unsure, Tracks 1 and 2 cover the broadest range of Azure AI roles and are the right starting point for most people.
13 production-ready Azure AI/ML projects.
Not toy scripts. Each one is built, deployed, and documented the way enterprise teams actually ship.
Everything from skill-building to a job offer, in one system.
This is not a video library. It is a job-outcome system.
60+ Hours Live Weekly Sessions
Interactive cohort, not recorded videos. Real-time Q&A with Azure AI/ML experts. Weekend live sessions with 24-hour recording access.
13 Real-World Projects
Build a production-grade Azure AI/ML portfolio: RAG pipelines, MLOps systems, GenAI apps, AI agents, fraud detection, and more — all on GitHub.
6 Microsoft Certifications
AZ-900, AI-901, AB-900, AB-100, AI-200, and AI-300 certification prep built directly into the curriculum. Exam prep, practice tests, and guided revision included.
Resume + LinkedIn Makeover
Your profile optimized for Azure AI/ML roles: ATS-ready, keyword-optimized for Microsoft ecosystem jobs, and recruiter-tested.
Mock Technical Interviews
Live sessions covering Azure AI architecture, MLOps system design, GenAI solution design, and behavioral rounds.
1-Year On-Job Support
Support continues after you're hired — through your first job and beyond.
[Bonus Webinar] AKS for AI Workloads
Exclusive bonus session on deploying and scaling AI/ML workloads on Azure Kubernetes Service — containerization, autoscaling, and production-grade orchestration.
Three levels. Pick how far and how fast you want to go.
- Weekly LIVE sessions
- 100+ hands-on Azure labs
- 1 capstone Azure AI/ML project
- 500+ practice questions
- 4 Microsoft cert prep (AZ-900, AI-900, AI-102, AI-300)
- Community access
- Everything in Upskill
- 13 real-world Azure AI/ML & GenAI projects on GitHub
- Resume + LinkedIn rebuild for Azure AI roles
- Mock technical interviews + 1-year on-job support
- AKS Bonus Webinar included
- Installments available
- Everything in Job Prep
- Weekly 1:1 mentoring with Azure AI experts
- Priority interview access
- Guaranteed interview calls, or we keep working
Next 2026 cohort · 25 Job Prep seats / 10 Inner Circle seats · k21academy.com/AzureAiCart
The guarantee — 6 months. Love it or leave it.
Your decision is protected. Do the work, and if it doesn't deliver, you get your money back.
- Complete all hands-on labs and projects
- Apply to a minimum of 50 Azure AI/ML-relevant roles
- Get your resume reviewed by K21's team
- Ask for support when you need it — don't go silent
Did all that and still not satisfied? Full refund. Stated exactly as the offer terms read — action-based, six months, no fine print.
Before you enroll.
Ready to land your Azure AI/ML role?
Join the next cohort and build the skills, portfolio, and support system that gets you hired.
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