We recently published a FREE special 16-module on-demand video training course, “AI-050 Develop Generative AI Solutions with Azure OpenAI Service”, where instructors were video-recorded for all modules.
Azure OpenAI Service provides access to OpenAI’s powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio.
Before starting this learning path, you should already have:
- Familiarity with Azure and the Azure portal.
- Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.
All video recorded modules for “AI-050 Develop Generative AI Solutions with Azure OpenAI Service” are available below:
- AI-050 Speaker & Course Introduction (1 of 16)
- AI-050 Get started with the Azure OpenAI Service (2 of 16)
- AI-050 Deploy and interact with generative AI models by using prompts (3 of 16)
- AI-050 Knowledge Check (4 of 16)
- AI-050 Build natural language solutions with Azure OpenAI Service (5 of 16)
- AI-050 Knowledge Check (6 of 16)
- AI-050 Prompt Engineering: Part 1 Write more effective prompts (7 of 16)
- AI-050 Prompt Engineering: Part 2 Provide context to improve result accuracy (8 of 16)
- AI-050 Prompt Engineering: Knowledge Check (9 of 16)
- AI-050 Generate code with the Azure OpenAI Service (10 of 16)
- AI-050 Knowledge Check (11 of 16)
- AI-050 Generate images with Azure OpenAI Service (12 of 16)
- AI-050 Knowledge Check (13 of 16)
- AI-050 Use your own data with the Azure OpenAI Service (14 of 16)
- AI-050 Knowledge Check (15 of 16)
- AI-050 Course Summary (16 of 16)
A written, non-video recorded version of this course, AI-050 Develop Generative AI Solutions with Azure OpenAI Service, is available in a scaled down format, on-demand at:
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