Introduction to AI in Azure

This training is designed for people who want to begin developing their artificial intelligence skills and understand how AI solutions are built and used within the Microsoft Azure ecosystem. It is particularly suitable for those who need to organize their knowledge of fundamental AI concepts, explore the capabilities of Azure services, and prepare for further learning in the field of artificial intelligence solutions.
The training is suitable for:
•    data analysts who want to better understand how AI can be used to analyze, process, and interpret data,
•    data engineers interested in Azure services that support AI solutions, information processing, and data workloads,
•    aspiring AI engineers and professionals planning to develop skills in designing and deploying artificial intelligence solutions,
•    early-career technology professionals who want to learn the fundamentals of AI, generative artificial intelligence, AI agents, and multimodal models,
•    technical and non-technical professionals working with AI teams who want to become more familiar with concepts related to Microsoft Azure, Microsoft Foundry, and AI services,
•    anyone who wants to build a solid foundation for further development of artificial intelligence skills in the Microsoft environment.
 

1.    Artificial intelligence fundamentals – you will learn the key AI concepts, including generative artificial intelligence, agents, text and natural language, speech, computer vision, and information extraction.
2.    AI solutions on Azure – you will discover how Microsoft Azure services support the development, deployment, and operation of artificial intelligence solutions.
3.    Generative AI and agents – you will learn the fundamental concepts related to large language models, prompts, generative AI models, and agent development.
4.    Natural language processing – you will learn to recognize the basic mechanisms of text analysis, tokenization, language models, and the use of Azure Language with an agent.
5.    Speech in AI solutions – you will discover how solutions for speech recognition, speech synthesis, and speech-enabled agents work.
6.    Computer vision and multimodality – you will learn about fundamental tasks involving image analysis, image generation, video generation, and multimodal models.
7.    Extracting information from data – you will learn how artificial intelligence supports the extraction of information from documents, audio, and video.
 

1.Introduction to AI concepts

• Generative AI and agents
• Text and natural language
• Speech
• Computer vision
• Information extraction
• Responsible AI

2.Introduction to generative AI and agents

• Large language models (LLMs)
• Prompts
• AI agents

3.Introduction to natural language processing concepts

• Tokenization
• Statistical text analysis.
• Semantic language models

4.Introduction to AI speech concepts

• Speech-enabled solutions
• Speech recognition
• Speech synthesis

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

6.Introduction to AI-powered information extraction concepts

• Overview of information extraction
• Optical character recognition (OCR)
• Field extraction and mapping

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

• Understand text analysis in Foundry
• Create a client application that analyzes text
• Use Azure Language with an agent

10.1Get started with speech in Azure

• Speech recognition
• Speech synthesis
• Creating a speech-capable agent

11.Get started with computer vision in Azure

• Multimodal models for image analysis
• Image generation models
• Video generation models

12.Get started with AI-powered information extraction in Azure

• Extract information from documents
• Extract information from audio and video

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.

To increase the comfort of work and training’s effectiveness we suggest using an additional monitor. The lack of additional monitor does not exclude participation in the training, however, it significantly influences the comfort of work during classes.
You can find information and requirements of participation in Distance Learning trainings at:
https://www.altkomakademia.pl/en/how-it-works/about-courses/

•  manual in electronic form available on the platform: https://learn.microsoft.com/pl-pl/training/

• access to Altkom Akademia's student portal

Training method:

• Lecture and product presentation (70%)

• Exercise (30%)

Major teaching tools include PowerPoint presentations, test-environment demonstrations, hands-on lab environments, and Microsoft Learn AI-901 resources

• Training: English

• Materials: English