Learn to Measure and Mitigate Risks for Generative AI Apps with Azure AI Studio

Hello students, AI enthusiasts, developers, and innovators!

Artificial intelligence has taken the world by storm, redefining the way businesses operate and innovate. Whether you are an experienced developer or a beginner looking to dive into the world of AI, Azure AI Studio It provides a powerful platform to create cutting-edge AI applications responsibly and securely.

I recently had a chance to go diving. Microsoft Learn modules: Measure and mitigate risk for generative AI apps in Azure AI Studio. An incredible resource that guides you through every step of building and improving responsible AI applications. Today I want to share my experience and encourage you to join us on this journey too, gaining essential skills along the way.

Why should I take this module?

AI has tremendous potential, but with that power comes responsibility. This is especially true when creating generative AI applications. This module is thorough, Step-by-step guide It not only teaches you the technical aspects of Azure AI, but also helps you understand how to minimize risk and ensure responsible AI development.

If you are just starting out in AI or want to expand your knowledge, this module is ideal for you because:

• Beginner friendly: Even if you’re new to Azure AI Studio, we explain the concepts clearly so you can follow along and feel confident.

• hands-on learning: You will engage in real-world scenarios and compare, deploy, and interact with models to build generative AI apps.

• Risk Mitigation: Emphasizes safety. It teaches you how to compose system messages, set content filters, and evaluate models to protect against inappropriate prompts.

Highlights of the module

• Overview and Prerequisites: Starts with an introduction to the course objectives and starts with an Azure subscription (You can make it for free).

• Model Deployment: Learn how to choose from a vast catalog of models and deploy the right models for your generative AI applications. You can also interact with the model using the chat playground, a great hands-on feature.

• Build a model foundation with data: With Search Augmented Generation (RAG), you will learn how to upload and index your own data to ensure that your model provides relevant and data-driven responses.

• safety features: A standout part of the module is how it guides you through setting up system messages and content filters to handle sensitive or inappropriate prompts, making your model more secure.

• Evaluation process: We look at both manual and automated evaluations to assess the quality and safety of model responses. This is important to improve your app and ensure robustness before deployment.

• Check your knowledge: At the end of the module, you will receive a knowledge check to check your understanding. You’ll also receive a badge perfect for showcasing your skills on LinkedIn or in your portfolio.

my experience

Going through this module was a rewarding experience, providing both technical insight and practical steps for building more responsible AI applications. We’ve had to think critically about the risks associated with AI, especially in the generative space. Completing this module also gave me the confidence to implement these practices in my own projects.

Are you ready to take the plunge?

If you are looking to strengthen your AI skills and build applications that prioritize safety and accountability, we highly recommend this Microsoft Learn module. Not only will you deepen your understanding of Azure AI Studio, but you will also gain important skills in risk mitigation, an area that is becoming increasingly important as AI continues to advance.

visit microsoft run Start your journey to master responsible AI development today. Let’s create a safe and ethical future for AI together.

Resources to get started: