🚀 Azure AI Engineer Learning Path - Complete Course Roadmap (Updated)
📋 Table of Contents
- Foundation Phase
- Core Azure AI Phase
- Advanced Implementation Phase
- Specialized Technologies Phase
- Automation & No-Code Phase
- Production & Security Phase
- MCP & Cutting-Edge Technologies Phase
- Course Summary Table
🎯 Learning Path Overview
This roadmap includes ALL 32 courses from your collection, organized in a logical progression for becoming an expert Azure AI engineer. The courses build from fundamentals to cutting-edge technologies.
📚 Foundation Phase
Start here if you're new to AI/ML or Azure
1. The AI Engineer Course 2025: Complete AI Engineer Bootcamp ⭐ START HERE
Duration: Comprehensive bootcamp
Focus: AI fundamentals, ethics, and core concepts
Why First: Essential foundation for understanding AI principles
Course Link
2. Master Azure OpenAI Service with Azure AI Foundry
Duration: Multi-module course
Focus: Cloud computing basics, Azure fundamentals, OpenAI integration
Key Topics:
- Cloud computing introduction
- Azure account creation
- OpenAI models and prompt engineering
- Building chatbots with Python SDK
- Creating content generators with React Course Link
3. Generative AI using Azure OpenAI ChatGPT for Beginners
Duration: Comprehensive beginner course
Focus: Hands-on experience with Azure OpenAI
Key Topics:
- ChatGPT fundamentals
- Azure OpenAI service setup
- Fine-tuning models
- Image generation with DALL-E
- Function calling Course Link
4. Generative AI: Beginner to Pro with Azure OpenAI
Duration: Comprehensive AI concepts course
Focus: Deep AI foundations with Azure
Key Topics:
- AI concepts and workloads
- Machine learning foundations
- Semantic Kernel introduction
- Azure OpenAI advanced features Course Link
🔥 Core Azure AI Phase
Build core Azure AI competencies
5. Azure AI Studio - Complete Guide to Azure AI Studio Copilot
Duration: Complete Azure AI Studio course
Focus: Azure AI Studio/Copilot fundamentals
Key Topics:
- Azure AI Studio architecture
- Model deployments and chat playground
- Document Intelligence in Prompt Flow
- Endpoint deployment and monitoring
- Integration with Teams and Power Automate Course Link
6. Azure AI Studio (AI Foundry): Prompt Flow, LLMOps & RAG
Duration: Advanced course
Focus: Azure AI Studio/Foundry mastery
Key Topics:
- Prompt engineering techniques
- LLMOps with Prompt Flow SDK
- Containerization and deployment
- Wikipedia ChatBot capstone project Course Link
7. RAG in Azure with OpenAI and ChatGPT LLM model
Duration: Focused RAG course
Focus: Quick start with RAG implementation
Key Topics:
- RAG fundamentals presentation
- Creating Azure resources via portal and CLI
- Vector embeddings and chunking
- Azure AI Search integration
- Simple RAG in Azure AI Studio Course Link
8. Azure Generative (OpenAI) + Predictive AI (23+ Hours)
Duration: 23+ hours comprehensive course
Focus: Complete Azure OpenAI mastery
Key Topics:
- Resource deployment and management
- Security implementation (RBAC, Key Vault)
- Chat completions API
- Monitoring and diagnostics Course Link
9. RAG with Azure OpenAI (AI Search, CosmosDB, GraphRAG & more)
Duration: Specialized RAG course
Focus: Advanced Retrieval-Augmented Generation
Key Topics:
- RAG fundamentals and architecture
- Azure AI Search integration
- CosmosDB for vector storage
- GraphRAG with Neo4j
- Document Intelligence integration Course Link
🛠️ Advanced Implementation Phase
Develop practical implementation skills
10. Azure AI Foundry Mastery + LLMOps and More
Duration: Advanced technical course
Focus: Production-ready implementations
Key Topics:
- Advanced Prompt Flow development
- LlamaIndex integration
- Azure AI Search implementation
- Model evaluations and monitoring Course Link
11. Azure AI Foundry - Project Driven Learning for AI on Cloud
Duration: Project-focused course
Focus: Hands-on Azure AI projects
Key Topics:
- AI solution lifecycle management
- Cost considerations
- AI model exploration
- Agentic AI solutions
- Azure AI Services integration Course Link
12. The complete Azure Machine learning course - 2025 Edition
Duration: Comprehensive ML course
Focus: Traditional ML + Generative AI in Azure
Key Topics:
- Azure ML Studio mastery
- Supervised/unsupervised learning
- Generative AI model integration
- Fine-tuning strategies
- Responsible AI implementation Course Link
🤖 Specialized Technologies Phase
Master cutting-edge AI technologies
13. AI Agents-Beginner to Pro-Azure AI Foundry Agent Service
Duration: Specialized agents course
Focus: Building autonomous AI agents
Key Topics:
- Agentic AI concepts
- Azure AI Foundry agent development
- Semantic Kernel integration
- Multi-agent systems Course Link
14. Azure AI Agent Service (AI Foundry, Semantic Kernel SDK)
Duration: Advanced agent development
Focus: Production-ready agent systems
Key Topics:
- Vector embeddings and search
- CosmosDB integration for RAG
- Video generation multi-agent systems
- Advanced network security Course Link
15. Mastering Semantic Kernel by Creating Projects
Duration: Semantic Kernel specialization
Focus: Microsoft's orchestration framework
Key Topics:
- Kernel architecture and components
- Plugin development
- Prompt templates (Handlebars, Liquid)
- Memory and vector stores
- Podcast generator workshop Course Link
16. Data and AI (Azure Databricks)
Duration: Big data + AI integration
Focus: Large-scale data processing with AI
Key Topics:
- Apache Spark and data analytics
- Data lakehouse architecture
- Unity Catalog integration
- Agent development with Databricks Course Link
17. The Complete Agentic AI Engineering Course (2025)
Duration: 5-day intensive course
Focus: Latest in agentic AI development
Key Topics:
- OpenAI SDK, CrewAI, LangGraph frameworks
- Custom MCP server development
- Trading agent systems
- Advanced automation workflows Course Link
🔧 Automation & No-Code Phase
Learn automation and no-code AI solutions
18. AI Automation: Build LLM Apps & AI-Agents with n8n & APIs
Duration: Comprehensive automation course
Focus: No-code/low-code automation with AI
Key Topics:
- LLMs and function calling
- Vector databases and RAG
- n8n workflow automation
- API integrations
- Security and compliance (GDPR, EU AI Act) Course Link
19. n8n - AI Agents, AI Automations & AI Voice Agents (No-code!)
Duration: Complete n8n mastery
Focus: No-code AI automation platform
Key Topics:
- n8n workflows and automations
- AI voice agents development
- Self-hosting and maintenance
- Lead generation agents
- SEO automation agents Course Link
20. 2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI
Duration: Comprehensive bootcamp
Focus: Modern AI development with latest tools
Key Topics:
- LangChain and LCEL
- RAG applications
- Conversational AI
- SQL data integration
- Key data extraction Course Link
🔒 Production & Security Phase
Learn production deployment and security
21. Productionize Azure AI Foundry Agents with API Management
Duration: Production-focused course
Focus: Enterprise deployment strategies
Key Topics:
- Azure API Management integration
- Multi-region load balancing
- Circuit breakers and resilience
- Prompt Flow containerization Course Link
22. AI Security with Microsoft Cloud (Azure & M365)
Duration: Security-focused course
Focus: Securing AI implementations
Key Topics:
- Zero Trust architecture
- Information protection and governance
- Network security for AI services
- RBAC and identity management Course Link
🚀 MCP & Cutting-Edge Technologies Phase
Master the latest protocols and technologies
23. MCP Crash Course: Complete Model Context Protocol in a Day
Duration: Quick MCP introduction
Focus: Fast MCP learning
Key Topics:
- MCP fundamentals and architecture
- Pre-built MCP server configuration
- Claude and Cursor integration
- Remote MCP server deployment Course Link
24. Mastering MCP: Beginner to Pro Across the AI Ecosystem
Duration: Comprehensive MCP course
Focus: Complete Model Context Protocol mastery
Key Topics:
- MCP architecture and components
- JSON-RPC 2.0 implementation
- Docker integration
- Remote server deployment Course Link
25. MCP Masterclass: Complete Guide to MCP in Python [2025]
Duration: Python-focused MCP course
Focus: MCP development with Python
Key Topics:
- MCP server and client development
- FastMCP vs low-level servers
- Tools, resources, and prompts
- End-to-end MCP builds Course Link
26. MCP Bootcamp: Build AI Agents with Model Context Protocol
Duration: Intensive MCP bootcamp
Focus: Hands-on MCP agent development
Key Topics:
- Agentic AI behavior and tool calling
- MCP client and server architecture
- Docker deployment
- Production MCP services Course Link
27. MCP & A2A - Model Context Protocol & Agent to Agent Protocol
Duration: Advanced protocols course
Focus: MCP and Agent-to-Agent communication
Key Topics:
- Building custom MCP servers
- Agent-to-Agent (A2A) protocol
- Vision agents with Google ADK
- Docker deployment to Google Cloud Course Link
28. Mastering Model Context Protocol (MCP): A Practical Guide
Duration: Practical MCP implementation
Focus: Real-world MCP applications
Key Topics:
- JSON-RPC fundamentals
- OAuth 2.1 authorization
- FastAPI integration
- MCP server composition Course Link
29. RAG Agents: Build Apps & GPTs with APIs/MCP, LangChain & n8n
Duration: Advanced RAG applications
Focus: RAG with modern frameworks
Key Topics:
- LLMs and vector databases
- Function calling and RAG
- LangChain integration
- MCP and API integrations Course Link
30. MCP: Build Agents with Claude, Cursor, Flowise, Python & n8n
Duration: Multi-platform MCP course
Focus: MCP across different platforms
Key Topics:
- Model Context Protocol explanation
- Claude Desktop and Cursor integration
- Python and Node.js implementation
- Security and privacy considerations Course Link
☁️ Azure Learning Path
🎯 Microsoft Azure AI Services Overview
📊 Complete Course Summary Table with Links
| Order | Course Name | Duration | Level | Priority | Focus Area | Course Link |
|---|---|---|---|---|---|---|
| FOUNDATION PHASE | ||||||
| 1 | The AI Engineer Course 2025: Complete AI Engineer Bootcamp | Comprehensive | Beginner | ⭐⭐⭐⭐⭐ | AI Fundamentals | 🔗 Course |
| 2 | Master Azure OpenAI Service with Azure AI Foundry | Multi-module | Beginner | ⭐⭐⭐⭐⭐ | Azure Basics | 🔗 Course |
| 3 | Generative AI using Azure OpenAI ChatGPT for Beginners | Comprehensive | Beginner | ⭐⭐⭐⭐ | Hands-on Practice | 🔗 Course |
| 4 | Generative AI: Beginner to Pro with Azure OpenAI | Comprehensive | Beginner | ⭐⭐⭐ | Deep AI Foundations | 🔗 Course |
| CORE AZURE AI PHASE | ||||||
| 5 | Azure AI Studio - Complete Guide to Azure AI Studio Copilot | Complete | Intermediate | ⭐⭐⭐⭐ | Azure AI Studio | 🔗 Course |
| 6 | Azure AI Studio (AI Foundry): Prompt Flow, LLMOps & RAG | Advanced | Intermediate | ⭐⭐⭐⭐⭐ | LLMOps | 🔗 Course |
| 7 | RAG in Azure with OpenAI and ChatGPT LLM model | Focused | Intermediate | ⭐⭐⭐ | Quick RAG | 🔗 Course |
| 8 | Azure Generative (OpenAI) + Predictive AI (23+ Hours) | 23+ hours | Intermediate | ⭐⭐⭐⭐ | Complete Mastery | 🔗 Course |
| 9 | RAG with Azure OpenAI (AI Search, CosmosDB, GraphRAG) | Specialized | Intermediate | ⭐⭐⭐⭐ | Advanced RAG | 🔗 Course |
| ADVANCED IMPLEMENTATION PHASE | ||||||
| 10 | Azure AI Foundry Mastery + LLMOps and More | Advanced | Advanced | ⭐⭐⭐⭐ | Production Skills | 🔗 Course |
| 11 | Azure AI Foundry - Project Driven Learning | Project-focused | Advanced | ⭐⭐⭐ | Hands-on Projects | 🔗 Course |
| 12 | The complete Azure Machine learning course - 2025 Edition | Comprehensive | Advanced | ⭐⭐⭐ | Traditional + Gen AI | 🔗 Course |
| SPECIALIZED TECHNOLOGIES PHASE | ||||||
| 13 | AI Agents-Beginner to Pro-Azure AI Foundry Agent Service | Specialized | Advanced | ⭐⭐⭐⭐ | Agent Development | 🔗 Course |
| 14 | Azure AI Agent Service (AI Foundry, Semantic Kernel SDK) | Advanced | Advanced | ⭐⭐⭐⭐ | Production Agents | 🔗 Course |
| 15 | Mastering Semantic Kernel by Creating Projects | Specialized | Advanced | ⭐⭐⭐ | Semantic Kernel | 🔗 Course |
| 16 | Data and AI (Azure Databricks) | Big Data Focus | Advanced | ⭐⭐⭐ | Large-scale AI | 🔗 Course |
| 17 | The Complete Agentic AI Engineering Course (2025) | 5-day intensive | Expert | ⭐⭐⭐ | Latest Frameworks | 🔗 Course |
| AUTOMATION & NO-CODE PHASE | ||||||
| 18 | AI Automation: Build LLM Apps & AI-Agents with n8n & APIs | Comprehensive | Intermediate | ⭐⭐⭐ | Automation | 🔗 Course |
| 19 | n8n - AI Agents, AI Automations & AI Voice Agents | Complete n8n | Intermediate | ⭐⭐⭐ | No-code Platform | 🔗 Course |
| 20 | 2025 Bootcamp: Generative AI, LLM Apps, AI Agents | Bootcamp | Advanced | ⭐⭐⭐ | Modern Tools | 🔗 Course |
| PRODUCTION & SECURITY PHASE | ||||||
| 21 | Productionize Azure AI Foundry Agents with API Management | Production | Expert | ⭐⭐⭐⭐ | Enterprise Deploy | 🔗 Course |
| 22 | AI Security with Microsoft Cloud (Azure & M365) | Security | Expert | ⭐⭐⭐ | Security Focus | 🔗 Course |
| MCP & CUTTING-EDGE PHASE | ||||||
| 23 | MCP Crash Course: Complete Model Context Protocol in a Day | Quick MCP | Expert | ⭐⭐ | Fast MCP Start | 🔗 Course |
| 24 | Mastering MCP: Beginner to Pro Across the AI Ecosystem | Comprehensive | Expert | ⭐⭐⭐ | Complete MCP | 🔗 Course |
| 25 | MCP Masterclass: Complete Guide to MCP in Python [2025] | Python MCP | Expert | ⭐⭐⭐ | Python MCP | 🔗 Course |
| 26 | MCP Bootcamp: Build AI Agents with Model Context Protocol | MCP Bootcamp | Expert | ⭐⭐⭐ | MCP Agents | 🔗 Course |
| 27 | MCP & A2A - Model Context Protocol & Agent to Agent | Advanced MCP | Expert | ⭐⭐ | MCP + A2A | 🔗 Course |
| 28 | Mastering Model Context Protocol (MCP): A Practical Guide | Practical MCP | Expert | ⭐⭐ | Practical MCP | 🔗 Course |
| 29 | RAG Agents: Build Apps & GPTs with APIs/MCP, LangChain | Advanced RAG | Expert | ⭐⭐ | Modern RAG | 🔗 Course |
| 30 | MCP: Build Agents with Claude, Cursor, Flowise, Python | Multi-platform | Expert | ⭐⭐ | Cross-platform | 🔗 Course |
🎯 Learning Path Recommendations
Complete Beginner Path (0-6 months)
Courses 1-4 → 5-6 → Pick specialization
Fast Track for Experienced Developers
Courses 2, 6, 8, 10, 13, 21
AI Agents Specialist Path
Courses 1-3, 6, 13-15, 17, 23-27
Enterprise/Production Focus
Courses 1-12, then 21-22, skip to specializations
Automation Specialist Path
Courses 1-3, 6, 18-20, then MCP courses
MCP Specialist Path
Complete foundation, then focus on courses 23-30
📈 Updated Timeline Estimates
Part-time Study (10-15 hours/week)
- Foundation Phase: 3-4 months (Courses 1-4)
- Core Azure AI Phase: 4-5 months (Courses 5-9)
- Advanced Implementation: 3-4 months (Courses 10-12)
- Specialized Technologies: 4-5 months (Courses 13-17)
- Automation & No-Code: 2-3 months (Courses 18-20)
- Production & Security: 2-3 months (Courses 21-22)
- MCP & Cutting-Edge: 3-4 months (Courses 23-30)
- Total: 21-28 months
Full-time Study (40+ hours/week)
- Foundation Phase: 4-5 weeks
- Core Azure AI Phase: 5-6 weeks
- Advanced Implementation: 3-4 weeks
- Specialized Technologies: 5-6 weeks
- Automation & No-Code: 3 weeks
- Production & Security: 2-3 weeks
- MCP & Cutting-Edge: 4-5 weeks
- Total: 26-32 weeks (6-8 months)
🚀 Success Tips
- Follow the progression - Each phase builds on previous knowledge
- Choose your specialization early - Focus on what aligns with your goals
- Practice extensively - Every course includes hands-on labs
- Build a portfolio - Document your projects and learning
- Join communities - Most courses have Discord servers
- Stay updated - AI evolves rapidly, keep learning
- Apply immediately - Use skills in real projects
- Consider certification - Azure AI certifications complement this learning
This complete roadmap covers all 30 courses in your collection, organized for maximum learning efficiency and career impact.