Some familiarity with Azure AI tooling will help.
Optional preparation: Build and Deploy Agents in Production: Free Google AI Course.
About this course
Follow the lifecycle of an LLM application through five demonstrations: exploration, retrieval augmentation, code-based flows, evaluation, and production monitoring. The series uses Azure tooling to connect development decisions with operational checks.
Skills you will explore
- LLMOps
- Retrieval-augmented generation
- Prompt flow
- Evaluation
- Monitoring
Course at a glance
| Provider | Microsoft |
|---|---|
| Platform | YouTube · Microsoft Developer |
| Access | Free Video |
| Level | Intermediate — WikiFree audience assessment |
| Main language | English |
| Available videos | 5 |
| Video duration | 51m · allow extra time for practice |
| Details checked | 8 October 2026 |
Who is this for?
Developers who understand basic LLM applications and want to organize evaluation and monitoring. Some familiarity with Azure AI tooling will help.
Make the lessons useful
Write a compact evaluation set containing normal requests, missing-context requests, and failure cases. Use it to compare two versions of a flow and decide which signals you would monitor after deployment.
Use the lesson list to study in sequence or return to a specific topic. Search by title, move between videos with Previous and Next, and mark a lesson complete when you finish. Your progress is kept in this browser; a WikiFree account is not required.
What is free?
The lessons in this listing are free YouTube videos. Free Video describes viewing access; cloud resources, AI services, software licenses, or other tools demonstrated in the recordings may have separate requirements or charges. You can watch without purchasing those optional services.
This listing does not include a certification exam or promise a certificate. Check current product documentation before applying older demonstrations to a new project.
Official Microsoft Developer course playlist ↗
Related courses for your next step
- Review a lower-level optionBuild and Deploy Agents in Production: Free Google AI Course
Focus: Agent architecture awareness · Workflow-pattern selection
Beginner - Compare another approachFree RAG Course: Retrieval, Vector Search and AI Agents
Focus: Sparse and dense retrieval · Hybrid search
Intermediate - Compare another approachFree AI App Development Course: Local LLMs and RAG
Focus: Local LLM inference · RAG application patterns
Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free LLMOps Course: Deploy and Monitor AI Apps | Intermediate | LLMOps · Retrieval-augmented generation · Prompt flow | 51m of video; practice time is additional |
| Build and Deploy Agents in Production: Free Google AI Course | Beginner | Agent architecture awareness · Workflow-pattern selection · Hosting evaluation | 45 minutes; official estimate, individual study time varies. |
| Free RAG Course: Retrieval, Vector Search and AI Agents | Intermediate | Retrieval-augmented generation · Sparse and dense retrieval · Hybrid search | 3h 22m of video; practice time is additional |
| Free AI App Development Course: Local LLMs and RAG | Intermediate | Local LLM inference · RAG application patterns · AI tool calling | 8h 7m of video; practice time is additional |
Provider: Microsoft. Videos play from the Microsoft Developer channel on YouTube.
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