Designing and Implementing an Azure AI Solution (AI-102)
Description
Learn to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI.
As an AI engineer you build, manage, and deploy AI solutions that make the most of Azure Cognitive Services and Azure services. Your responsibilities will include participating in all phases of AI solutions development - from requirements definition and design to development, deployment, integration, maintenance, performance tuning, and monitoring.
AI Engineers work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, infrastructure administrators, and other software developers to build complete end-to-end AI solutions.
After completing this course, you will be able to:
- 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
Prerequisites
Before attending this course, you 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 course before taking this one.
Course outline
- Introduction to AI and AI on Azure
- Develop Computer Vision solutions with Azure AI Vision
- Analyze and manipulate images
- Create a custom vision model
- Detect and recognize faces
- Analyze video
- Develop Natural Language Processing solutions
- Analyzing and translating text
- Build a question answering solution
- Build a conversational language understanding app
- Custom classification and named entity extraction
- Speech recognition, synthesis, and translation
- Develop Generative AI Solutions
- Get started with Azure OpenAI Service
- Develop Apps with Azure OpenAI Service
- Apply Prompt Engineering with Azure OpenAI Service
- Use your own data with Azure OpenAI Service
- Create a Knowledge Mining Solution
- Implementing an Intelligent Search Solution
- Developing Custom Skills for an Enrichment Pipeline
- Creating a Knowledge Store
- Develop Solutions with Azure AI Document Intelligence
- Use prebuilt Document Intelligence models
- Train a custom Document Intelligence model
Course material
In the course "Designing and Implementing an Azure AI Solution" (AI-102) we use Microsoft Official Courseware. We will ensure that you receive this (digital) material at the start of the course.
Available dates
| Title | Date |
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| AI-102 day 4 |
| Title | Date |
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| AI-102 day 1 | |
| AI-102 day 2 | |
| AI-102 day 3 | |
| AI-102 day 4 |
