Packt

Azure AI Fundamentals - Complete AI-901 Certification Guide

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Packt

Azure AI Fundamentals - Complete AI-901 Certification Guide

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the history and evolution of AI from its myths to modern-day applications

  • Implement AI solutions using Azure's AI infrastructure and resource management tools

  • Prepare for the AI-901 certification exam by mastering key concepts and practical skills

Details to know

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Recently updated!

August 2026

Assessments

7 assignments

Taught in English

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There are 8 modules in this course

This module provides an overview of the Azure AI Fundamentals course, introducing key concepts and topics that will be explored throughout the certification guide. Learners will gain foundational knowledge and understanding of the course structure and its relevance to AI development.

What's included

1 video

This module explores the historical development of artificial intelligence, from ancient myths to modern breakthroughs. Learners will gain an understanding of key milestones, theoretical advancements, and the evolution of AI technologies over time.

What's included

6 videos1 assignment

This module introduces foundational AI concepts, including modern definitions, common workloads, and ethical considerations. It also covers essential infrastructure concepts such as Azure resource management and Microsoft Foundry, providing learners with practical skills to set up and navigate AI development environments.

What's included

11 videos1 assignment

This module explores the fundamentals of generative AI, including how AI creates original content, the differences between large and small language models, and the role of tokens and vector embeddings in AI processing. It also introduces AI agents and their components, such as memory, tools, and reasoning, and provides hands-on experience with Azure AI services and agent development.

What's included

11 videos1 assignment

This module explores essential natural language processing techniques, including key-phrase extraction, named entity recognition, sentiment analysis, and text pre-processing. Learners will gain hands-on experience with Azure AI tools and understand how to apply these methods to analyze and interpret text data effectively.

What's included

5 videos1 assignment

This module explores the technologies and applications of speech processing and computer vision, covering speech-to-text, text-to-speech, image classification, object detection, and multimodal AI systems. Learners will gain hands-on experience with AI tools like Azure Speech services and Face API, while also understanding the ethical implications of AI-generated content.

What's included

8 videos1 assignment

This module explores advanced techniques for extracting and managing information from documents, including mapping unstructured data to structured schemas, ensuring content safety, and leveraging APIs for language translation. Learners will gain practical insights into deploying responsible AI and managing cyber threats in document processing.

What's included

5 videos1 assignment

This module explores the evolving landscape of AI, including agentic systems, multimodal capabilities, repository intelligence, global safety frameworks, and the future of human-AI collaboration. Learners will gain insight into how AI is becoming more integrated, intelligent, and responsible in real-world applications.

What's included

5 videos1 assignment

Instructor

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