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AI-901T00-A: Introduction to AI in Azure
Start your AI journey on Microsoft Azure. This beginner-friendly, self-paced course introduces core AI concepts, including generative AI and agents, natural language processing, speech, computer vision and information extraction, and shows how to put them into practice with Azure AI services. It prepares you for the Microsoft Certified: Azure AI Fundamentals (AI-901) exam.
Available in Instructor-Led or Virtual formats.
Duration
8 Hours | 1 Day
Modules
12 Modules
Course type
Microsoft
Course Overview
The course introduces foundational artificial intelligence concepts and practical Azure services for building AI solutions. Designed for aspiring technology professionals, it covers core AI terminology, generative AI, agents, computer vision, speech, natural language processing, text analysis, and information extraction. Learners also explore how to start creating AI applications and agents in Microsoft Azure Foundry. The course suits beginners with basic computing knowledge, some Python familiarity, and an understanding of essential cloud concepts such as storage, compute, authentication, and authorization principles.
Before You Begin
- Familiarity with Python coding syntax and programming techniques
- Basic understanding of math
- Basic understanding of computing concepts
Key outcomes
- Learn the fundamental ideas, terminology, and common workloads in artificial intelligence, giving you a strong foundation for future AI learning.
- Understand how generative AI works and how AI agents can be used to automate tasks, assist users, and solve business problems on Azure.
- Gain practical knowledge of Microsoft Azure tools and services used to build AI-powered applications and solutions.
- Learn how AI can analyze images, process speech, and understand text through computer vision, speech services, and natural language processing.
- Get started creating AI applications and agents in Azure Foundry while connecting AI concepts with cloud-based development practices.
Tools you’ll use
Azure AI Foundry
Azure OpenAI Service
Azure Bot Service
Azure AI Document Intelligence
Microsoft Azure Portal
Azure AI Language
Skills you’ll gain
- Identify when to use generative AI and AI agents
- Azure AI services for real-world solutions
- Natural language processing and text analysis
- AI applications and agents in Azure Foundry
- AI solution development on Microsoft Azure
What You’ll Learn
12 modules
1Module 1: Introduction to AI concepts
1.1 Introduction to AI
1.2 Generative AI and agents
1.3 Text and natural language
1.4 Speech
1.5 Computer vision
1.6 Information extraction
1.7 Responsible AI
1.8 Summary
1.2 Generative AI and agents
1.3 Text and natural language
1.4 Speech
1.5 Computer vision
1.6 Information extraction
1.7 Responsible AI
1.8 Summary
2Module 2: Introduction to generative AI and agents
2.1 Introduction
2.2 Large language models (LLMs)
2.3 Prompts
2.4 AI agents
2.5 Summary
2.2 Large language models (LLMs)
2.3 Prompts
2.4 AI agents
2.5 Summary
3Module 3: Introduction to natural language processing concepts
3.1 Introduction
3.2 Tokenization
3.3 Statistical text analysis.
3.4 Semantic language models
3.5 Summary
3.2 Tokenization
3.3 Statistical text analysis.
3.4 Semantic language models
3.5 Summary
4Module 4: Introduction to AI speech concepts
4.1 Introduction
4.2 Speech-enabled solutions
4.3 Speech recognition
4.4 Speech synthesis
4.5 Summary
4.2 Speech-enabled solutions
4.3 Speech recognition
4.4 Speech synthesis
4.5 Summary
5Module 5: Introduction to computer vision concepts
5.1 Introduction
5.2 Computer vision tasks and techniques
5.3 Images and image processing
5.4 Convolutional neural networks
5.5 Vision transformers and multimodal models
5.6 Image generation
5.7 Summary
5.2 Computer vision tasks and techniques
5.3 Images and image processing
5.4 Convolutional neural networks
5.5 Vision transformers and multimodal models
5.6 Image generation
5.7 Summary
6Module 6: Introduction to AI-powered information extraction concepts
6.1 Introduction
6.2 Overview of information extraction
6.3 Optical character recognition (OCR)
6.4 Field extraction and mapping
6.5 Summary
6.2 Overview of information extraction
6.3 Optical character recognition (OCR)
6.4 Field extraction and mapping
6.5 Summary
7Module 7: Get started with AI in Azure
7.1 Introduction
7.2 Understand Azure
7.3 Developing AI apps on Azure
7.4 Microsoft Foundry for AI
7.5 Using Microsoft Foundry endpoints
7.6 Summary
7.2 Understand Azure
7.3 Developing AI apps on Azure
7.4 Microsoft Foundry for AI
7.5 Using Microsoft Foundry endpoints
7.6 Summary
8Module 8: Get started with generative AI and agents in Azure
8.1 Introduction
8.2 Generative AI models
8.3 Using a generative AI model
8.4 Creating an agent
8.5 Summary
8.2 Generative AI models
8.3 Using a generative AI model
8.4 Creating an agent
8.5 Summary
9Module 9: Get started with text analysis in Azure
9.1 Introduction
9.2 Azure Language
9.3 Azure Language SDK
9.4 Azure Language MCP
9.5 Summary
9.2 Azure Language
9.3 Azure Language SDK
9.4 Azure Language MCP
9.5 Summary
10Module 10: Get started with speech in Azure
10.1 Introduction
10.2 Speech recognition
10.3 Speech synthesis
10.4 Creating a speech-capable agent
10.5 Summary
10.2 Speech recognition
10.3 Speech synthesis
10.4 Creating a speech-capable agent
10.5 Summary
11Module 11: Get started with computer vision in Azure
11.1 Introduction
11.2 Multimodal models for image analysis
11.3 Image generation models
11.4 Video generation models
11.5 Summary
11.2 Multimodal models for image analysis
11.3 Image generation models
11.4 Video generation models
11.5 Summary
12Module 12: Get started with AI-powered information extraction in Azure
12.1 Introduction
12.2 Extract information from documents
12.3 Extract information from audio and video
12.4 Summary
12.2 Extract information from documents
12.3 Extract information from audio and video
12.4 Summary
Certification & Credentials
Certificate track
8 Hours | 1 Day
High-Quality Video Lessons
Digital courseware, e-books & audio access
Recorded sessions, accessible on tablet & phone
AI mentor support & module quizzes
Target Audience
Intended roles
- Generative AI Engineer
Learning Resources
Videos & Engaging Visual Content
Podcasts & Audiobooks
Expert discussions and audio episodes covering key topics
E-Books
Downloadable guides
Module-Wise Quizzes
Interactive quizzes after each module to reinforce learning.
Additional Resources
Study materials, exam prep guides, sandbox labs, and community tutorials.
Frequently asked questions
Who is this course designed for?
This course is intended for aspiring technology professionals who are starting their journey in AI solution development.
What topics are covered in this course?
The course covers core AI concepts, generative AI, agents, computer vision, speech, natural language processing, text analysis, and information extraction.
Do I need programming experience before taking this course?
Some knowledge of Python coding syntax and programming techniques is useful, especially for the hands-on and technical parts of the course.
How will this course help my career?
This course builds foundational AI and Azure skills that can support beginners pursuing a career in AI solution development on Microsoft Azure.
What is Introduction to AI in Azure?
It is a foundational course that introduces artificial intelligence concepts and the Microsoft Azure services used to build AI solutions.
| Duration | 8 Hours / 1 Day |
|---|---|
| Modules | 12 Modules |
| Course type | Microsoft |
| Category | Microsoft |
| Intended roles | Generative AI Engineer |
| Prerequisites | Familiarity with Python coding syntax and programming techniques, Basic understanding of math, Basic understanding of computing concepts |
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