Course Overview
The “Build a Copilot App in a Day with Azure OpenAI” course is meticulously crafted to equip learners with the necessary skills to develop intelligent applications using Azure OpenAI’s suite of services. It comprehensively covers the language, code, and image capabilities of Azure OpenAI, with a strong emphasis on responsible AI practices and adherence to restricted access policies. Participants will engage in practical, hands-on learning experiences through lab sessions, including the creation of Azure OpenAI resources and exploration of the Playground environment.
Throughout the course, learners will navigate the Copilot Creation workflow, integrating essential components such as Azure Storage Account, Azure Cognitive Search, App Services, and App Service Plans. Emphasis is placed on effective prompting techniques, iterative refinement methods, summarization, inference strategies, and transformation approaches to enhance interactions with AI models. Advanced topics include the design of prompt flows using Azure Machine Learning Studio, utilization of the Semantic Kernel, and integration of chat plugins.
Through a series of interactive labs, participants will learn to augment skillsets, incorporate memories, utilize connectors within the Semantic Kernel, implement function chaining, and integrate Bing services with Azure OpenAI. By the course’s conclusion, learners will be proficient in deploying sophisticated chat copilots and harnessing Azure OpenAI Studio to develop robust AI-powered applications. This course elevates participants’ expertise in the dynamic realm of AI and machine learning, enabling them to stay at the forefront of technological innovation.
Learning Objectives – What you will Learn in this Build a Copilot App in a Day with Azure OpenAI?
- This course equips participants with skills to build a Copilot app using Azure OpenAI, focusing on AI practices, prompt techniques, and Semantic Kernel integration.
- Learning Objectives and Outcomes:
- Understand Azure OpenAI’s capabilities in language, code, and image processing.
- Learn about Azure OpenAI’s responsible AI practices and access limitations.
- Identify different Azure OpenAI base models and their deployment strategies.
- Gain hands-on experience creating an Azure OpenAI resource and exploring the OpenAI Playground.
- Acquire knowledge of Azure services essential for Copilot app development, including Storage Accounts, Cognitive Search, and App Services.
- Develop a basic workflow for creating a Chat Copilot using Azure OpenAI Studio.
- Master effective prompting techniques to enhance interaction with AI models.
- Design and implement prompt flows using Azure Machine Learning Studio for improved AI responses.
- Explore the Semantic Kernel’s workings, components, and integration with Azure OpenAI models.
- Implement advanced features like skillsets, memories, connectors, and function chaining in the Semantic Kernel for sophisticated AI applications.
Target Audiance
- Software Developers seeking to integrate AI into applications
- AI and Machine Learning Enthusiasts exploring Azure OpenAI
- Solution Architects designing AI-powered systems
- Data Scientists interested in applying OpenAI models
- Cloud Engineers focusing on Azure services and AI implementation
- Product Managers overseeing AI app development
- DevOps Engineers learning about Azure AI deployment
- IT Professionals expanding their knowledge in AI and cloud services
- Technical Leads guiding teams in AI projects