- Prepare to develop AI solutions on Azure
- Define artificial intelligence
- Understand AI-related terms
- Understand considerations for AI Engineers
- Understand considerations for responsible AI
- Understand capabilities of Azure Machine Learning
- Understand capabilities of Azure AI Services
- Understand capabilities of the Azure Bot Service
- Understand capabilities of Azure Cognitive Search
- Create and consume Azure AI Services
- Provision Azure AI Services resources in an Azure subscription
- Identify endpoints, keys, and locations required to consume an Azure AI Services resource
- Use a REST API to consume an Azure AI service
- Use an SDK to consume an Azure AI service
- Lab: Use Azure AI Services.
- Secure Azure AI Services
- Consider authentication for Azure AI Services
- Manage network security for Azure AI Services
- Lab: Manage Azure AI Services Security
- Monitor Azure AI Services
- Monitor Azure AI Services costs
- Create alerts
- View metrics
- Manage diagnostic logging
- Lab: Monitor Azure AI Services
- Deploy Azure AI services in containers
- Create Containers for Reuse
- Deploy to a Container
- Secure a Container
- Consume Azure AI Services from a Container
- Lab: Use a container
- Extract insights from text with the Azure AI Language service
- Detect language
- Extract key phrases
- Analyze sentiment
- Extract entities
- Extract linked entities
- Lab: Analyze text
- Translate text with Azure AI Translator service
- Provision a Translator resource
- Understand language detection, translation, and transliteration
- Specify translation options
- Define custom translations
- Lab: Translate text with Azure AI Translator service
- Create speech-enabled apps with Azure AI services
- Provision an Azure resource for the Azure AI Speech service
- Use the Azure AI speech-to-text API to implement speech recognition
- Use the Text to speech API to implement speech synthesis
- Configure audio format and voices
- Use Speech Synthesis Markup Language (SSML)
- Lab: Create a speech-enabled app
- Translate speech with the Azure AI Speech service
- Provision Azure resources for speech translation
- Generate text translation from speech
- Synthesize spoken translations
- Lab: Translate speech
AI-102T00: Designing & Implementing an Azure AI Solution
- 4 Days
- Intermediate
-
137 Students
- 4 Days
- Intermediate
-
137 Students
- In-person / virtual Instructor-Led Training
- Email at cloud-trainings@learners.debugdeploy.com
- Overview
- Key Highlights
- Who Should Attend
- Required
- Recommended
- Course Details
- Course Outline
- Why Choose Us
- Enroll
- FAQs
Overview
In the AI-102 course, you’ll learn how to leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework to build intelligent applications that can understand natural language, recognize images, and more. In this AI-102 training, you’ll also learn to use either C# or Python as your programming language.
The AI-102: Designing and Implementing a Microsoft Azure AI Solution course is designed with expert instruction and hands-on exercises., Through this AI-102 training, you’ll gain practical skills to apply to real-world projects. Join our AI-102 course and take the next step in your AI journey.
Key Highlights
- 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.
Who Should Attend
- Data Scientist
- AI Engineer
Required
- Familiarity with JSON and REST programming semantics
- Knowledge of either C# or Python
- Knowledge of Microsoft Azure and ability to navigate the Azure portal
Recommended
Course Details
- Duration: 4 Days [32 hours]
- Delivery Format: In-person / virtual Instructor-Led Training
Course Outline
Why Choose Us
- Proven Track Record: Thousands of satisfied students and successful certifications.
- Flexible Learning Options: Choose from various formats to fit your schedule and learning style.
- Post-Training Support: Access to additional resources and community forums for continued learning.
Enroll
Enroll NowFAQs
You must know either Python or C# before you take up the AI-102 course.
The AI-102 provides hands-on training with labs that help you use Azure Cognitive Search, Azure Cognitive Services, and Microsoft Bot Framework to develop applications that read, analyze, and process text in images and documents and even create conversational solutions with bots.
You will learn Azure AI services such as Azure Cognitive Services that cover Text Analytics, Translator, and Speech. You will also learn about QnA Maker Service, Azure Bot Service, Computer Vision Service, Language Understanding Service, and Recognizer Service.
You can take the AI-900T00: Microsoft Azure AI Fundamentals course before joining the AI-102 course.
Debug Deploy, a Microsoft Official Training Partner, prepares you for other related Azure certifications, including:
Microsoft Certified Azure Data Analyst Associate Certification
Microsoft Certified Azure Database Administrator Certification
Microsoft Certified Azure Data Engineer Certification
The Azure AI Solution Associate training will be provided by the Microsoft Certified Trainers (MCTs) who have profound domain knowledge and over a decade of training experience.
The AI-102 program will train you to build AI-powered applications using Azure AI services and help you prepare for the Azure AI Engineer Associate exam. On clearing the exam, you will earn the Microsoft Certified Azure AI Engineer Associate certification.
Debug Deploy is a Microsoft Partner. Hence, you are assured of the official Microsoft courseware, Microsoft Certified Instructors, access to practice labs.
Earning a certification in Azure Fundamentals depends on your strength in Azure basics and learning path toward other associate or expert-level certifications. However, validating that knowledge with a certificate will benefit you immensely in the future.
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