Master Generative AI with Azure OpenAI Service: A Comprehensive Guide for Students

Generative AI is a cutting-edge technology that can create content from text, code, and images. To learn more about it and how to use it with Azure OpenAI Service, check out these resources:

Generative AI basics: Learn what generative AI is, how it works, and what it can do in these short courses and videos:

• Generative AI fundamentals: Understand the role of large language models (LLMs) in generative AI, how to use the term “copilot”, and how to improve AI outputs with prompt engineering. (40 minutes)
• Azure OpenAI Service fundamentals: Explore how to use OpenAI tools like ChatGPT and DALL-E with Azure OpenAI Service to build solutions for text summarization, code suggestions, and image generation. (50 minutes)
• Responsible generative AI fundamentals: Review the responsible AI guidelines for generative AI developed by Microsoft experts. (50 minutes)
• Generative AI for beginners: Follow this comprehensive course to learn the principles and practices of generative AI development and how to build a generative AI startup with Microsoft Cloud Advocates on GitHub. (12 lessons)
• AI in a minute video series: Watch these bite-sized videos to get familiar with generative AI concepts and terms. Subscribe to our Microsoft Cloud YouTube channel to stay updated.
• Generative AI with Azure OpenAI Cloud Skills Challenge. It’s not just a learning sprint, but also a friendly competition where you can match your skills against thousands of others. This challenge is a great opportunity to enhance your technical abilities through task-based achievements and get ready for Microsoft role-based certifications. In roughly 18 hours, you’ll acquire the knowledge to train models to produce unique content from natural language input.

Generative AI solutions: Learn how to use Azure OpenAI Service to develop powerful generative AI applications with these modules:

• Azure OpenAI Service introduction: Get started with Azure OpenAI Studio and access a variety of generative AI models on the Azure platform. Learn how to handle workloads across vision, speech, language, decision, search, and more. (1 hour)
• Natural language solutions with Azure OpenAI Service: Integrate Azure OpenAI Service into your applications using Python and C# SDKs and REST APIs. Learn how to build natural language solutions with generative AI. (1 hour)
• Prompt engineering with Azure OpenAI Service: Master the techniques of prompt engineering to optimize the performance of Azure OpenAI models. (1 hour)
• Code generation with Azure OpenAI Service: Use generative AI to create code in different languages and assist in various development tasks. (1 hour)
• Image generation with Azure OpenAI Service: Use the DALL-E image generation model to produce any graphic you want based on your plain-language descriptions. Learn how to generate illustrations, photorealistic images, marketing materials, unique logos, and more. (1 hour)
• Data integration with Azure OpenAI Service: Enhance the potential of Azure OpenAI by adding your own data sources. Learn how to connect your data to Azure OpenAI, allowing supported AI chat models to provide responses based on both your data and their pretrained knowledge. (30 minutes)
• Responsible AI guidelines: Learn how to use generative AI responsibly and ethically, following the Microsoft’s responsible AI standard that addresses the specific challenges of generative AI models. (30 minutes)

Generative AI training: Join these free online sessions to get hands-on experience with generative AI and Azure OpenAI Service:

• Generative AI Fundamentals: Gain foundational knowledge of language models and generative AI applications. Discover how Azure OpenAI Service helps you deliver results using text, code, image generation, natural language summarization, and semantic search.
• Building Generative Apps with Azure OpenAI Service: Learn how to work with powerful large language models, including GPT. You’ll get deeper insight into the benefits of natural language processing and learn how to provision Azure OpenAI, deploy models, and effectively use language models in generative AI applications.
• Join our Global AI communities:  Training resources for students and professionals who want to learn about artificial intelligence (AI) and how to use Microsoft Azure services to build AI solutions. It offers access to our global AI communities, learning paths, certifications, applied skills, and challenges based on different roles, technologies, and scenarios.