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Try "Generative AI", "Azure" or "Data & AI"

Learning Paths

Structured journeys from fundamentals to job-ready

Each path sequences multiple courses, labs and a capstone project so you always know what to learn next.

Path 1

Generative AI Engineer

Go from prompt basics to building autonomous AI agents used in production.

Generative AI & Prompt Engineering Masterclass

ChatGPT, Claude AI, Gemini, Copilot, prompt frameworks

AI Agents with LangGraph & MCP

Agent orchestration, tool calling, Model Context Protocol

Capstone: Enterprise AI Automation Project

Ship a production-ready AI workflow with a portfolio project

View Path Courses

Path outcomes

  • Build RAG pipelines & AI agents
  • Ship AI automation workflows
  • Portfolio-ready capstone project
  • Learner Galaxy certification

Path outcomes

  • Design multi-cloud, secure architectures
  • Automate CI/CD with Azure DevOps & Kubernetes
  • Hands-on Azure Sandbox experience
  • AI-102 certification readiness
Path 2

Azure Cloud Architect

Move from Azure fundamentals to production-grade cloud architecture and DevOps.

Azure AI Engineer Associate (AI-102 Prep)

Azure AI Services, Azure OpenAI, security & identity

Azure DevOps & Kubernetes Engineering

CI/CD, containers, Terraform infrastructure as code

Capstone: Resilient Multi-Cloud Architecture

Design and defend a production architecture

View Path Courses

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