To successfully undertake the "Build a Copilot App in a Day with Azure OpenAI" course, participants should come equipped with the following minimum prerequisites:
- Basic understanding of cloud computing concepts, particularly those related to Microsoft Azure services.
- Familiarity with Azure services such as Azure Storage Account, Azure Cognitive Search, Azure App Services, and Azure Machine Learning Studio.
- Experience with any programming language (preferably Python or JavaScript) to understand scripting and automation within the Azure environment.
- Ability to navigate and operate within the Azure Portal to manage resources and services.
- Fundamental knowledge of machine learning concepts and how AI models are deployed and utilized.
- Basic understanding of natural language processing (NLP) and its application in AI.
- Comfort with using text-based interfaces and writing prompts for interaction with language models.
- Willingness to engage with technical documentation and perform hands-on labs to reinforce learning concepts.
While prior experience with Azure OpenAI is not required, these prerequisites are designed to ensure that participants can make the most out of the course content and the hands-on labs. With these foundational skills, learners will be better prepared to grasp the advanced topics covered in the course.
Target Audience for Build a Copilot App in a Day with Azure OpenAI
The "Build a Copilot App in a Day with Azure OpenAI" course offers insights into Azure's AI capabilities and practical labs for building intelligent apps.
Target audience for the course includes:
- 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
- Business Analysts understanding AI application in business solutions
- AI Researchers studying the application of OpenAI models in the real world
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.
Intermediate
