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By the end of this course, learners will be able to understand the core concepts of artificial intelligence, including generative AI, natural language processing, speech, computer vision, and information extraction. They will be able to explain how large language models, prompts, and AI agents are used in modern AI systems.

Learners will also be able to describe how text is processed using tokenization and semantic models, and how speech technologies such as recognition and synthesis are implemented in AI solutions. They will gain an understanding of computer vision techniques, including image analysis, neural networks, and multimodal models.

In addition, learners will be able to explain how information is extracted from documents and media using OCR and data mapping techniques. They will also gain foundational knowledge of how Azure AI services and Microsoft Foundry are used to build and deploy AI applications and agents.

Finally, learners will be able to identify real-world applications of AI and understand the importance of responsible AI development.

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

This course is ideal for beginners who want to understand the fundamentals of artificial intelligence and how it is applied in Microsoft Azure. It is suitable for students, non-technical professionals, and anyone starting a career in AI or cloud computing.

This course includes beginner-friendly training covering the fundamentals of AI and Azure AI services. Learners will explore key concepts such as generative AI, speech, vision, NLP, and information extraction through guided explanations and real-world examples.

No prior experience in AI or cloud computing is required. Basic computer literacy is sufficient.

Learners are encouraged to explore introductory Microsoft Learn materials on artificial intelligence, generative AI, natural language processing, and Azure AI services. Reading about basic machine learning concepts and cloud computing fundamentals will also be beneficial.

This course does not include a formal exam. Learners are assessed through participation and understanding of the material covered. A Certificate of Completion is awarded upon completion.

No Exam
Certificate of Completion: AI-901 Introduction to AI in Azure

After completing this course, learners can progress to advanced Azure AI training such as AI-103, AI-200, or other AI development and cloud architecture courses.

This is a beginner-level foundation course designed to introduce artificial intelligence concepts in a simple and structured way. No technical background is required.

Why Choose Us?

We Are Here To Help You Pass

All of our trainers have achieved exceptionally high delegate pass rates for accredited examinations for all our courses. We also offer complimentary pre and post-course support for any questions you may have.

We Are Flexible

We try and be as flexible as we can and accommodate your needs. We can swap delegates at any time with no charge. We can also create bespoke content should this be required.

We Are The Specialists

We specialise in IT Service and Project Management. All of our Trainers and Consultants have considerable years of hands-on experience in IT Service / Project Management, working across a wide number of industry sectors.

We Are Professionals

Our training, sales and admin staff are all professional, helpful, friendly and approachable. We believe in providing excellent customer service. You will always have a dedicated friendly Account Manager

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