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Build a Copilot App in a Day with Azure OpenAI

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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?

  1. This course equips participants with skills to build a Copilot app using Azure OpenAI, focusing on AI practices, prompt techniques, and Semantic Kernel integration.
  2. 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

Schedule Dates

Build a Copilot App in a Day with Azure OpenAI
15 July 2024 - 16 July 2024
Build a Copilot App in a Day with Azure OpenAI
15 October 2024 - 16 October 2024
Build a Copilot App in a Day with Azure OpenAI
15 January 2025 - 16 January 2025
Build a Copilot App in a Day with Azure OpenAI
15 April 2025 - 16 April 2025

Course Content

  • Azure OpenAI's language, code, and image capabilities
  • Azure OpenAI's responsible AI practices and limited access policies
  • Types of Azure OpenAI’s base model and its deployment
  • Lab: Creation of Azure OpenAI resource/OpenAI & accessing Playground

  • Brief of Azure Storage Account, Azure Cognitive Search, App Services & App Service Plans
  • Basic workflow for Copilot Creation
  • Lab: Build your own Chat Copilot using various Azure Services (Azure Portal)

  • Understanding Text Prompting
  • Iterative Techniques for Text Prompting
  • Using Summarization Techniques
  • Inference Techniques in Text Prompting
  • Transformation Techniques for Text
  • Exercise/Documentation: Effective Prompting Techniques (Jupyter notebook

  • Introduction to Azure Machine Learning Studio
  • Introduction to Prompt flow
  • Lab: Prompt flow design and implementation

  • Introduction to Semantic Kernel
  • Working and Components of Semantic Kernel
  • Concept of Chat Plugin & its Integration into Applications
  • Integrating Semantic Kernel with Azure OpenAI models
  • Introduction to Autogen in Semantic Kernel
  • Native Functions
  • Chaining Functions using Azure OpenAI
  • - Lab: Basic Labs on Semantic Functions
  • - Lab: Adding skillsets to Semantic Kernel
  • - Lab: Adding memories to Semantic Kernel
  • Lab: Using connectors in Semantic Kernel
  • - Lab: Chaining concept in Semantic Kernel
  • - Lab: Integrating Bing with Azure OpenAI using Semantic Kernel

FAQs

This course is dedicated to equipping participants with the skills and knowledge necessary to develop intelligent applications using Azure OpenAI’s suite of services. Specifically, it guides learners through the process of creating a Copilot app within a day, leveraging the capabilities of Azure OpenAI effectively.

This course is designed for developers, programmers, AI enthusiasts, and anyone interested in harnessing the power of Azure OpenAI to create intelligent applications. Whether you are a beginner looking to explore AI technology or an experienced developer seeking to enhance your skillset, this course caters to individuals with varied levels of expertise.

The course covers a wide range of topics essential for building Copilot applications with Azure OpenAI. These include understanding Azure OpenAI’s language, code, and image capabilities, responsible AI practices, compliance with access policies, hands-on labs for creating Azure OpenAI resources, and integration techniques for Azure services.

While there are no strict prerequisites, familiarity with programming concepts, basic knowledge of AI and machine learning, and a fundamental understanding of Azure services would be beneficial. However, the course is structured to accommodate learners with varying levels of experience.

The course is structured into modules, each focusing on specific aspects of building a Copilot app with Azure OpenAI. Participants will have access to instructional videos, hands-on labs, code samples, and supplementary resources to facilitate their learning journey and reinforce key concepts.

Yes, the course encourages interaction and collaboration through discussion forums, live Q&A sessions, and virtual workshops. Participants can engage with instructors, seek clarification, share insights, and collaborate with peers to enhance their learning experience.

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