Azure Certification: Designing and Implementing a Microsoft Azure AI Solution
Are you ready to supercharge your career with Azure Certification? Look no further than the ‘Designing and Implementing a Microsoft Azure AI Solution’ course, also known as AI-102. This four-day instructor-led program is your gateway to mastering the art of building AI-infused applications that harness the full power of Azure’s Cognitive Services, Azure Cognitive Search, and the Microsoft Bot Framework. Whether you’re a seasoned software developer or a tech enthusiast, this course opens doors to endless possibilities.
Who is this for?
If you’re a software engineer eager to craft, manage, and deploy AI solutions, this is your playground. You should already be well-versed in C# or Python, and familiar with REST-based APIs for building AI solutions on Azure. Prior knowledge of Microsoft Azure and basic navigation skills in the Azure portal are a plus.
What to Expect
Prepare to dive deep into AI application development considerations and get hands-on with Azure Cognitive Services. You’ll learn how to analyze text, develop speech-enabled applications, create bots, and even work with computer vision services. By the end, you’ll be a pro at designing AI solutions that read, process text, and create intelligent search solutions. If you’re looking to boost your Azure skills, this certification is your golden ticket.
Elevate your tech game, grab your Azure certification, and let the world of AI unfold before you!
Course Details
Course Code: AI-102; Duration: 5 days; Instructor-led
AI-102: Develop AI solutions in Azure is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction. The course will use C# or Python as the programming language.
Audience
This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure.
Prerequisites
Before attending this course, students must have:
• Knowledge of Microsoft Azure and ability to navigate the Azure portal.
• Knowledge of either C# or Python
• Familiarity with JSON and REST programming semantics
To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course. If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.
Methodology
This program will be conducted with interactive lectures, PowerPoint presentation, discussion and practical exercise.
Course Objectives
• Describe considerations for AI-enabled application development.
• Create, configure, deploy, and secure Azure Cognitive Services
• Develop applications that analyze text.
• Develop speech-enabled applications.
• Create applications with natural language understanding capabilities.
• Create QnA applications
• Create conversational solutions with bots.
• Use computer vision services to analyze images and videos.
• Create custom computer vision models.
• Develop applications that detect, analyze, and recognize faces.
• Develop applications that read and process text in images and documents.
• Create intelligent search solutions for knowledge mining.
EXAM
Technical exams: All technical exam scores are reported on a scale of 1 to 1,000. A passing score is 700 or greater. As this is a scaled score, it may not equal 70% of the points. A passing score is based on the knowledge and skills needed to demonstrate competence as well as the difficulty of the questions.
Outlines
Module 1: Develop generative AI apps in Azure
Generative Artificial Intelligence (AI) is becoming more accessible through comprehensive development platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models to chat with your users.
Prerequisites
Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. You should also be proficient in programming with Python or Microsoft C#.
 Lessons
- Plan and prepare to develop AI solutions on Azure
- Choose and deploy models from the model catalog in Azure AI Foundry portal
- Develop an AI app with the Azure AI Foundry SDK
- Get started with prompt flow to develop language model apps in the Azure AI Foundry
- Develop a RAG-based solution with your own data using Azure AI Foundry
- Fine-tune a language model with Azure AI Foundry
Module 2: Develop AI agents on Azure
Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.
Prerequisites
Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.
Lessons
- Get started with AI agent development on Azure
- Develop an AI agent with Azure AI Foundry Agent Service
- Integrate custom tools into your agent
- Develop an AI agent with Semantic Kernel
- Orchestrate a multi-agent solution using Semantic Kernel
Module 3: Develop natural language solutions in Azure
Natural language solutions use language models to interpret the semantic meaning of written or spoken language, and in some cases respond based on that meaning. You can use the Language service to build language models for your applications, and explore Azure AI Foundry to use generative models for speech.
Prerequisites
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.
Lessons
- Analyze text with Azure AI Language
- Create question answering solutions with Azure AI Language
- Build a conversational language understanding model
- Create a custom text classification solution
- Custom named entity recognition
- Translate text with Azure AI Translator service
- Create speech-enabled apps with Azure AI services
- Translate speech with the Azure AI Speech service
- Develop an audio-enabled generative AI application
Module 4: Develop computer vision solutions in Azure
Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI includes multiple services that support common computer vision scenarios.
Prerequisites
Before starting this learning path, you should already have:
- Familiarity with Azure and the Azure portal.
- Experience programming with C# or Python.
Lessons
- Analyze images
- Read text in images
- Detect, analyze, and recognize faces
- Classify images
- Detect objects in images
- Analyze video
- Develop a vision-enabled generative AI application
- Generate images with AI
Module 5: Develop AI information extraction solutions in Azure
Use Azure AI to extract information from content to support scenarios like:
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- Data capture
- Business process automation
- Meeting summarization and analysis
- Digital asset management (DAM)
- Knowledge Mining
Prerequisites
Before starting this learning path, you should already have:
- Familiarity with Azure and Azure AI Foundry.
- Experience programming with C# or Python.Â
Lessons
- Create a multimodal analysis solution with Azure AI Content Understanding
- Create an Azure AI Content Understanding client application
- Use prebuilt Document intelligence models
- Extract data from forms with Azure Document intelligence
- Create a knowledge mining solution with Azure AI Search
