As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI.
Your responsibilities include participating in all phases of AI solutions development, including:
- Requirements definition and design
- Development
- Deployment
- Integration
- Maintenance
- Performance tuning
- Monitoring
You work with solution architects to translate their vision. You also work with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers to:
- Build complete and secure end-to-end AI solutions.
- Integrate AI capabilities in other applications and solutions.
As an Azure AI engineer, you have experience developing solutions that use languages such as:
- Python
- C#
You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should:
- Understand the components that make up the Azure AI portfolio and the available data storage options.
- Be able to apply responsible AI principles.
- Plan and manage an Azure AI solution
- Implement decision support solutions
- Implement computer vision solutions
- Implement natural language processing solutions
- Implement knowledge mining and document intelligence solutions
- Implement generative AI solutions
- AI Engineers and Developers
- Data Scientists
- Solution Architects
- IT Professionals
- Software Engineers
- Machine Learning Engineers
- AI Project Managers
Candidates for this certification are expected to have a solid understanding of Azure services, machine learning concepts, and programming skills. It's recommended that individuals have hands-on experience with Azure AI services and are proficient in one or more programming languages, such as Python or C#. Overall, the AI-102 certification is suitable for those looking to demonstrate their expertise in implementing AI solutions in a Microsoft Azure environment.
- Lesson: Introduction to AI
- Lesson: AI on Azure
- Lesson: Get started with Azure AI services
- Lesson: Using Azure AI Services for enterprise applications
- Exercise – Get Started with Azure AI Services
- Extended interactive exercises – Use an Azure AI Services container
- Lesson: Analyze and manipulate images
- Lesson: Create a custom vision model
- Lesson: Detect and recognize faces
- Lesson: Analyze video
- Lab – Analyze Images with Azure AI Vision
- Lab – Read Text in Images
- Lab – Classify Images with Azure AI Vision custom model
- Lesson: Analyzing and translating text
- Lesson: Build a question answering solution
- Lesson: Build a conversational language understanding app
- Lesson: Custom classification and named entity extraction
- Lesson: Speech recognition, synthesis, and translation
- Exercise – Analyze Text
- Exercise – Create a Question Answering solution
- Exercise – Create a conversational language understanding app
- Exercise – Recognize and Synthesize Speech
- Extended interactive exercises
- Lesson: Get started with Azure OpenAI Service
- Lesson: Develop apps with Azure OpenAI Service
- Lesson: Apply prompt engineering with Azure OpenAI Service
- Lesson: Use your own data with Azure OpenAI Service
- Exercise: Integrate Azure OpenAI into your app
- Exercise: Utilize prompt engineering in your app
- Exercise: Use your own data with Azure OpenAI Service
- Extended interactive exercises
- Lesson: Implementing an Intelligent Search Solution
- Lesson: Developing Custom Skills for an Enrichment Pipeline
- Lesson: Creating a Knowledge Store
- Exercise – Create a Custom Skill for Azure AI Search
- Extended interactive exercises – Create a Knowledge Store with Azure AI Search
- Lesson: Use prebuilt Document Intelligence models
- Lesson: Train a custom Document Intelligence model
- Lab – Extract Data from Forms
Students interested in building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. Students should be familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
Yes! This class prepares you for the Microsoft Certified: Azure AI Engineer Associate Exam AI-102.
