AI-900 - Azure AI Fundamentals and Two Practice Tests

AI-900 - Azure AI Fundamentals and Two Practice Tests

by Christos Malliarakis
Released March 2024
Publisher(s): Packt Publishing
ISBN: 9781835462997

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Video description

Dive into the world of Azure AI with our meticulously crafted video course, tailored to empower you with a thorough understanding of artificial intelligence fundamentals and its practical applications in the cloud. This course begins with an introduction to the AI-900 exam contents, guiding you through what to expect and how to prepare effectively. As you progress, you'll explore the distinctions between artificial intelligence, machine learning, and data science, and delve into common AI workloads, including machine learning and anomaly detection. The course also covers the application of AI within Microsoft Azure, addressing challenges, risks, and the principles of responsible AI use. Through detailed video content, you'll learn about Azure Machine Learning, Cognitive Services, and how to apply computer vision and natural language processing to solve real-world problems.

The course culminates in practical advice on preparing for the AI-900 exam, featuring example questions and strategies for success. Whether you're a beginner or looking to solidify your knowledge, this course will take you on a journey from foundational concepts to advanced applications, ensuring you're well-prepared for the AI-900 certification.

What you will learn

  • Understand the fundamentals of AI and its applications in Azure.
  • Differentiate between AI, machine learning, and data science.
  • Navigate Azure Machine Learning and Cognitive Services.
  • Apply principles of computer vision and natural language processing.
  • Master the concepts of regression, classification, and clustering.
  • Design and implement conversational AI workloads.

Audience

This course is ideal for technical professionals seeking to validate their Azure AI expertise or anyone interested in building a career in AI and cloud services. Prior knowledge of basic cloud computing concepts and familiarity with Microsoft Azure is recommended.

About the Author

Christos Malliarakis: Christos Malliarakis, a Ph.D., is a seasoned expert in Computer Science and Software Development, boasting an impressive array of IT certifications, including CySA+, PRINCE2 Practitioner, and ITIL v3. With a Master's in Information Technology, specializing in Information Assurance, GDPR compliance, and mobile app development using Google Flutter and Dart, he brings a wealth of knowledge and practical experience. His academic and professional journey reflects a profound dedication to advancing IT education and innovation.

Table of contents

  1. Chapter 1 : Introduction to Azure AI-900
    1. Introduction to AI-900: Contents of the Exam
  2. Chapter 2 : Objective 1: Describe AI Workloads and Considerations
    1. What is Artificial Intelligence?
    2. Differences between Artificial Intelligence, Machine Learning and Data Science
    3. Common Artificial Intelligence Workloads (Machine Learning, Anomaly Detection)
    4. Artificial Intelligence in Microsoft Azure
    5. Challenges and Risks with Artificial Intelligence
    6. Six Principles of Responsible Artificial Intelligence
    7. Azure Machine Learning
    8. Azure Machine Learning and Azure Cognitive Services
    9. Azure Cognitive Search
  3. Chapter 3 : Objective 2: Describe Fundamental Principles of Machine Learning on Azure
    1. What is Machine Learning?
    2. Regression
    3. Classification
    4. Clustering
    5. A Deeper Dive into Azure Machine Learning
    6. Automated Machine Learning and Azure Machine Learning Designer
  4. Chapter 4 : Objective 3: Describe features of computer vision workloads on Azure
    1. What is Computer Vision?
    2. Applications of Computer Vision
    3. A Demo of Applying Computer Vision Services
    4. More Azure Cognitive Services
    5. The Computer Vision Service and Image Analysis with Computer Vision Service
    6. Training Models with the Custom Vision Service and Analyzing Faces
    7. Reading Text with the Computer Vision Service and Video Indexer. Video Analysis
    8. Custom Insights
    9. Video Indexer Widgets and API
    10. Analyzing Forms with the Form Recognizer Service
  5. Chapter 5 : Objective 4: Describe Features of Natural Language Processing Workloads on Azure
    1. What is Natural Language Processing (NLP)?
    2. Natural Language Processing in Azure
    3. The Text Analytics Service
    4. Text Analytics, Speech Recognition and Synthesis
    5. The Translator Service
    6. Detection, Translation, Transliteration and Translation
    7. Introduction to Language Understanding
    8. Language Understanding (LUIS) Resources in Azure
    9. Intents and Utterances
    10. Entities
    11. Patterns, Patterns.Any() Entities and Language Understanding
    12. Demo Speech Services - Speech to Text and Translation
  6. Chapter 6 : Objective 5: Describe features of conversational AI Workloads on Azure
    1. What is Conversational AI?
    2. AI Guidelines for Responsible Bots
    3. Conversational AI in Azure: The QnA Maker Service
    4. QnA Maker vs Language Understanding
    5. Active Learning
    6. Creating a QnA Bot
  7. Chapter 7 : Answering Questions for AI-900: How to think and how to answer
    1. Be Prepared to Answer Questions for AI-900: Example Questions (Part 1)
    2. How to Think when Answering Questions for AI-900: Example Questions
    3. How to Answer Questions for AI-900: Example Questions
    4. Be Prepared to Answer Questions for AI-900: Example Questions (Part 1)
    5. Be Prepared to Answer Questions for AI-900: Example Questions (Part 2)
    6. Be Prepared to Answer Questions for AI-900: Example Questions (Part 3)
    7. Be Prepared to Answer Questions for AI-900: Example Questions (Part 4)

Product information

  • Title: AI-900 - Azure AI Fundamentals and Two Practice Tests
  • Author(s): Christos Malliarakis
  • Release date: March 2024
  • Publisher(s): Packt Publishing
  • ISBN: 9781835462997