Designing and Implementing a Microsoft Azure AI Solution
Lecturer:
Uldis Doniņš
Uldis Doniņš
Uldis Donins is a software engineering and data science professional who is passionate about using technology to drive innovation and solve complex problems. A foundation of knowledge in software design, development, delivery and project management drives Uldis and his teams to the success. The lecturer is an enthusiast of constant learning and keeping up with the latest industry trends. The instructor combines keeping up with the trends and a strong base of knowledge and skills.
Course target
Audience
Developers interested in building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
At Course Completion
- 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.
Prerequisites
- Knowledge of Microsoft Azure and ability to navigate the Azure portal
- Knowledge of either C# or Python
- Familiarity with JSON and REST programming semantics
Training materials
Microsoft learn environment.
Certification Exam
Kurss palīdz sagatavoties Microsoft sertifikācijas eksāmenam AI-102: Designing and Implementing a Microsoft Azure AI Solution
Kursa apmeklētājiem viens eksāmena kārtošanas mēģinājums bez maksas
Course outline
1. Introduction to AI on Azure
- Introduction to AI
- AI in Azure
2. Developing AI Apps with Cognitive Services
- Getting Started with Cognitive Services
- Using Cognitive Services for Enterprise Applications
3. Getting Started with Natural Language Processing
- Analyzing Text
- Translating Text
4. Building Speech-Enabled Applications
- Speech Recognition and Synthesis
- Speech Translation
5. Creating Language Understanding Solutions with Azure Cognitive Services
- Creating a Language Understanding App
- Publishing and Using a Language Understanding App
6. Building a QnA Solution
- Creating a QnA Knowledge Based Publishing
- Using a QnA Knowledge Base
7. Conversational AI and the Azure Bot Service
- Bot Basics
- Implementing a Bot
8. Getting Started with Computer Vision
- Analyzing Images
- Analyzing Videos
9. Developing Custom Vision Solutions
- Image Classification
- Object Detection
10. Detecting, Analyzing, and Recognizing Faces
- Detecting Faces with the Computer Vision Service
- Using the Face Service
11. Reading Text in Images and Documents
- Reading text with the Computer Vision Service
- Extracting Information from Forms with the Form Recognizer service
12. Creating a Knowledge Mining Solution
- Implementing an Intelligent Search Solution
- Developing Custom Skills for an Enrichment Pipeline
- Creating a Knowledge Store
If you want to get more information about this course, contact us by phone +371 67505091 or send us an e-mail at mrn@bda.lv.
