Classes AI/ML
AI-901T00 Microsoft Technical
AI-901T00: Introduction to AI in Azure
- 1 days
- 6 upcoming dates
- 6 guaranteed to run
- May qualify for CEU/PDU credit
Upcoming dates
All times shown in the class's own timezone. 6 of 6 are guaranteed to run, meaning they go ahead regardless of enrollment.
| Dates | Starts | Where | Status | Seat | Book |
|---|---|---|---|---|---|
| Fri, Aug 14 | 9:00 AM to 5:00 PM EDT | Live virtual | GUARANTEED | $695 | |
| Tue, Sep 8 | 9:00 AM to 5:00 PM EDT | Live virtual | GUARANTEED | $695 | |
| Fri, Oct 2 | 9:00 AM to 5:00 PM EDT | Live virtual | GUARANTEED | $695 | |
| Mon, Oct 26 | 9:00 AM to 5:00 PM EDT | Live virtual | GUARANTEED | $695 | |
| Fri, Nov 20 | 9:00 AM to 5:00 PM EST | Live virtual | GUARANTEED | $695 | |
| Mon, Dec 14 | 9:00 AM to 5:00 PM EST | Live virtual | GUARANTEED | $695 |
About this class
This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. It teaches a mix of AI concepts and technology skills that are considered foundational to a successful career implementing AI solutions on Microsoft Azure.
Course outline
1 - Introduction to AI concepts
- Generative AI and agents
- Text and natural language
- Speech
- Computer vision
- Information extraction
- Responsible AI
- Module assessment
2 - Introduction to generative AI and agents
- Large language models (LLMs)
- Prompts
- AI agents
- Module assessment
3 - Introduction to natural language processing concepts
- Tokenization
- Statistical text analysis.
- Semantic language models
- Module assessment
4 - Introduction to AI speech concepts
- Speech-enabled solutions
- Speech recognition
- Speech synthesis
- Module assessment
5 - Introduction to computer vision concepts
- Computer vision tasks and techniques
- Images and image processing
- Convolutional neural networks
- Vision transformers and multimodal models
- Image generation
- Module assessment
6 - Introduction to AI-powered information extraction concepts
- Overview of information extraction
- Optical character recognition (OCR)
- Field extraction and mapping
- Module assessment
7 - Get started with AI in Azure
- Understand Azure
- Developing AI apps on Azure
- Microsoft Foundry for AI
- Using Microsoft Foundry endpoints
8 - Get started with generative AI and agents in Azure
- Generative AI models
- Using a generative AI model
- Creating an agent
9 - Get started with text analysis in Azure
- Azure Language
- Azure Language SDK
- Azure Language MCP
- Module assessment
10 - Get started with speech in Azure
- Speech recognition
- Speech synthesis
- Creating a speech-capable agent
- Module assessment
11 - Get started with computer vision in Azure
- Multimodal models for image analysis
- Image generation models
- Video generation models
- Module assessment
12 - Get started with AI-powered information extraction in Azure
- Extract information from documents
- Extract information from audio and video
- Module assessment
Before you attend
There are no required prerequisites. Success in this course is supported by:
- Experience using computers and the internet
- Interest in AI workloads and applications
- A basic understanding of math (interpreting charts, simple probability)
- Familiarity with fundamental programming concepts (helpful but not required)
Who this is for
This course is for aspiring technology professionals at the beginning of their career in AI solution development. Some knowledge of Python coding syntax and programming techniques is useful. Additionally, knowledge of core cloud concepts, including cloud storage, cloud compute, and cloud-based authentication and authorization is recommended.
How reserving works. Your card is authorized, not charged. We confirm the seat with the training center, usually within one business day, and take payment only once it is held. If the class turns out to be full we release the authorization and you are not charged.
Request a quote
Tell us how many people and roughly when. We'll come back with dates, seat price, and a total by the end of the next business day.