Microsoft quietly released a full-stack GenAI learning path.
It shows how modern AI systems are built.
Not just prompting.
The full architecture.
If you work in AI strategy, transformation, or execution,
this is worth studying.
Phase 1: Foundations (Model Literacy)
- Introduction to Generative AI & LLMs 🔗 https://lnkd.in/gNGQQwDD
- Exploring & Comparing LLMs 🔗 https://lnkd.in/gyK2UZDF
Phase 2: Prompt & Workflow Design
- Prompt Engineering Fundamentals 🔗 https://lnkd.in/gS6CXHJR
- Creating Advanced Prompts 🔗 https://lnkd.in/g44Qypmp
- Building Text Generation Apps 🔗 https://lnkd.in/gnqPg9gq
Phase 3: Knowledge Systems
- Building Search Apps with Vector Databases 🔗 https://lnkd.in/gkZuwJPp
- RAG & Vector Databases 🔗 https://lnkd.in/gbPHnwEs
Phase 4: Agents & Automation
- AI Agents 🔗 https://lnkd.in/g7UfCvZd
- Function Calling 🔗 https://lnkd.in/gvFzGBsW
Phase 5: Multimodal Systems
- Image Generation Applications 🔗 https://lnkd.in/gD7p_R4Y
- Building Chat Applications 🔗 https://lnkd.in/ggTAP6tS
- Designing UX for AI Applications 🔗 https://lnkd.in/g7-ZKhca
Phase 6: Governance
- Using GenAI Responsibly 🔗 https://lnkd.in/gArv6vkJ
- Securing GenAI Applications 🔗 https://lnkd.in/gjePanV8
Phase 7: Scaling
- GenAI Application Lifecycle 🔗 https://lnkd.in/gCuPiewF
- Fine-Tuning LLMs 🔗 https://lnkd.in/g4xCr3aC
- Smaller Specialized Models 🔗 https://lnkd.in/gZrVc8g6
📚 Full curriculum bundle
🔗 https://lnkd.in/gyPjbFvm