About this course
Practice thinking about AI safety as a set of explicit checks. These demonstrations cover text and image moderation, blocklists, groundedness, prompt shields, bulk testing, content filters, and manual or automated evaluation in Azure AI tools.
What you can learn
- Configure moderation and blocklist concepts
- Understand groundedness and prompt shields
- Compare manual and automated evaluation
- Plan bulk tests for text and images
Course at a glance
| Provider | Microsoft |
|---|---|
| Platform | YouTube · Microsoft Developer |
| Access | Free Video |
| Level | Intermediate — WikiFree audience assessment |
| Language | English |
| Selected lessons | 10 |
| Video duration | 37m · allow extra time for reflection and practice |
| Details checked | 9 October 2026 |
Try this learning exercise
Build an evaluation matrix using fictional examples: acceptable content, a borderline case, an unsupported claim, and an instruction embedded in retrieved text. Define the expected handling and record uncertainty separately from failures.
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 ↗
Use this course in a learning path
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Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free Responsible AI Course: Content Safety and Evaluation | Intermediate | Configure moderation and blocklist concepts · Understand groundedness and prompt shields · Compare manual and automated evaluation | 37m of video; practice time is additional |
| Free Responsible AI Course: Image and Text Model Review | Intermediate | Explore responsible AI support across two model types · Compare review needs for image and text inputs · Record limitations alongside model results | 25m of video; practice time is additional |
| Google Responsible AI for Developers: Free Fairness and Bias Course | Intermediate | Responsible AI reasoning · Fairness and bias assessment · Data inspection awareness | 4 hours; individual study pace varies |
| Google Responsible AI: Free AI Principles Course | Beginner | Ethical issue spotting · Responsible innovation · AI governance awareness | About 2 hours; provider estimate |
Provider: Microsoft. Videos play from the Microsoft Developer channel on YouTube.
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