The lessons connect deployment and evaluation with tool-calling accuracy and supervised fine-tuning, making this a short course for developers who already understand basic AI application development.
About this course
Explore three focused demonstrations of model optimization in Microsoft Foundry. The lessons connect deployment and evaluation with tool-calling accuracy and supervised fine-tuning, making this a short course for developers who already understand basic AI application development.
What you can learn
- Compare deployment and evaluation workflows
- Review tool-calling accuracy in AI agents
- Understand where supervised fine-tuning fits
Course at a glance
| Provider | Microsoft |
|---|---|
| Platform | YouTube · Microsoft Developer |
| Access | Free Video |
| Level | Intermediate — WikiFree audience assessment |
| Language | English |
| Selected lessons | 3 |
| Video duration | 19m · allow extra time for reflection and practice |
| Details checked | 9 October 2026 |
Try this learning exercise
Draft an evaluation sheet for a hypothetical support agent. Include a normal request, an ambiguous tool request, and a case where the agent should ask for clarification. Record what would count as a correct result before selecting a model.
How to follow the course
Choose a lesson from the list or search for a specific topic. Use Previous and Next to continue, and mark lessons complete as you go. Progress is saved in this browser without a WikiFree account.
Free access, tools and certificates
The selected public YouTube videos are free to watch. No paid subscription, payment card, examination, or software purchase is required for this video learning path. This listing does not include a Microsoft certification, assessed assignment, or instructor feedback.
The learning exercise above can be completed as a written plan without provisioning services. Reproducing demonstrations with Azure, hosted models, enterprise products, hardware, or optional software may require an account, separate access, or paid resources. Those activities are not required to complete the video course. Recorded interfaces and commands may differ from current versions.
Official Microsoft Developer playlist source ↗
Related courses for your next step
- Related learningGoogle DeepMind: Fine-Tune Your Model — Free Course
Focus: Fine-tuning workflow concepts · Dialogue-data preparation
Intermediate - Related learningGoogle DeepMind: Accelerate Your Model — Free Efficiency Course
Focus: Compute estimation · GPU memory reasoning
Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free Microsoft Foundry Course: Model Optimization | Intermediate | Compare deployment and evaluation workflows · Review tool-calling accuracy in AI agents · Understand where supervised fine-tuning fits | 19m of video; practice time is additional |
| Google DeepMind: Fine-Tune Your Model — Free Course | Intermediate | Fine-tuning workflow concepts · Dialogue-data preparation · Full-parameter tuning | 8 hours; coding experiments may take longer |
| Google DeepMind: Accelerate Your Model — Free Efficiency Course | Intermediate | Compute estimation · GPU memory reasoning · Mixed-precision concepts | 7 hours; experiments and review may take longer |
Provider: Microsoft. Videos play from the Microsoft Developer channel on YouTube.
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