AI-900 - Azure AI Fundamentals and Two Practice Tests

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AI-900 - Azure AI Fundamentals and Two Practice Tests

Instructeur : Packt - Course Instructors

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7 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

9 heures à compléter

Planning flexible

Apprenez à votre propre rythme

7 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Débutant

Expérience recommandée

9 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Gain a clear understanding of AI concepts and their application in real-world scenarios using Azure services
Learn the differences between AI, Machine Learning, and Data Science, and how they interrelate
Develop a foundational knowledge of Azure Machine Learning, Cognitive Services, and other key AI tools on Azure
Prepare for the AI-900 exam with real-world example questions and effective strategies for answering exam questions

Compétences que vous acquerrez

Catégorie : Generative AI
Catégorie : Unsupervised Learning
Catégorie : Classification And Regression Tree (CART)

Détails à connaître

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juillet 2025

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8 devoirs

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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will gain a strong understanding of Azure AI fundamentals, preparing you for the Microsoft AI-900 exam. From grasping the core concepts of Artificial Intelligence (AI) to understanding how machine learning, computer vision, and natural language processing work on Azure, you’ll learn how AI is applied in real-world scenarios. By the end of this course, you will be able to describe Azure AI services, workloads, and principles in depth, providing you with the skills to develop AI solutions using Azure's advanced tools. Throughout the course, you’ll explore fundamental AI concepts and tools such as Azure Cognitive Services, Azure Machine Learning, and Azure Cognitive Search. You'll dive into machine learning workflows, covering regression, classification, and clustering techniques, and understand how Azure facilitates these processes. The course also offers insights into the practical application of AI through demonstrations and hands-on sessions with Azure tools. Whether you're new to Azure or aiming to solidify your knowledge, this course will guide you step-by-step through the fundamentals of Azure AI. The curriculum also prepares you for the AI-900 exam with real-world example questions, helping you hone your critical thinking and exam techniques. This course is ideal for individuals seeking to break into AI with Microsoft Azure, those preparing for the AI-900 certification exam, or anyone interested in understanding AI workloads on the Azure platform. No prior AI or Azure knowledge is required, making it suitable for beginners in the field.

In this module, we will provide an overview of the AI-900 exam, walking through its contents and key topics. We’ll also discuss strategies for effective exam preparation, ensuring you’re ready for success on test day.

Inclus

1 vidéo1 lecture

In this module, we will dive into the core concepts of Artificial Intelligence, differentiating it from other fields like Machine Learning and Data Science. We will also explore Azure’s AI services, responsible AI principles, and how these technologies can be used effectively within Microsoft Azure.

Inclus

9 vidéos1 devoir1 plugin

9 vidéosTotal 23 minutes

What is Artificial Intelligence?2 minutesPrévisualiser le module
Differences between Artificial Intelligence, Machine Learning and Data Science6 minutes
Common Artificial Intelligence Workloads (Machine Learning, Anomaly Detection)1 minute
Artificial Intelligence in Microsoft Azure1 minute
Challenges and Risks with Artificial Intelligence4 minutes
Six Principles of Responsible Artificial Intelligence1 minute
Azure Machine Learning1 minute
Azure Machine Learning and Azure Cognitive Services3 minutes
Azure Cognitive Search1 minute

1 devoirTotal 15 minutes

Objective 1: Describe AI Workloads and Considerations - Assessment15 minutes

1 pluginTotal 15 minutes

Understanding AI, Machine Learning, and Data Science15 minutes

In this module, we will explore fundamental machine learning principles, focusing on techniques like regression, classification, and clustering. We’ll also cover the tools and features within Azure Machine Learning that help streamline the machine learning process.

Inclus

6 vidéos1 devoir1 plugin

6 vidéosTotal 9 minutes

What is Machine Learning?1 minutePrévisualiser le module
Regression2 minutes
Classification1 minute
Clustering1 minute
A Deeper Dive into Azure Machine Learning2 minutes
Automated Machine Learning and Azure Machine Learning Designer1 minute

1 devoirTotal 15 minutes

Objective 2: Describe Fundamental Principles of Machine Learning on Azure - Assessment15 minutes

1 pluginTotal 15 minutes

Fundamentals of Machine Learning Techniques15 minutes

In this module, we will explore how Azure’s computer vision services can be applied to solve real-world challenges. From analyzing images and videos to training custom models, you will gain insight into the diverse applications of computer vision in Azure.

Inclus

10 vidéos1 devoir1 plugin

10 vidéosTotal 23 minutes

What is Computer Vision?1 minutePrévisualiser le module
Applications of Computer Vision2 minutes
A Demo of Applying Computer Vision Services6 minutes
More Azure Cognitive Services1 minute
The Computer Vision Service and Image Analysis with Computer Vision Service3 minutes
Training Models with the Custom Vision Service and Analyzing Faces1 minute
Reading Text with the Computer Vision Service and Video Indexer. Video Analysis1 minute
Custom Insights1 minute
Video Indexer Widgets and API1 minute
Analyzing Forms with the Form Recognizer Service1 minute

1 devoirTotal 15 minutes

Objective 3: Describe features of computer vision workloads on Azure - Assessment15 minutes

1 pluginTotal 15 minutes

Introduction to Azure Computer Vision15 minutes

In this module, we will delve into the core features of Natural Language Processing (NLP) on Azure, covering text and speech analytics, sentiment analysis, translation, and language understanding tools. You’ll learn how to build intelligent systems that process and respond to human language.

Inclus

12 vidéos1 devoir1 plugin

12 vidéosTotal 28 minutes

What is Natural Language Processing (NLP)?1 minutePrévisualiser le module
Natural Language Processing in Azure0 minutes
The Text Analytics Service2 minutes
Text Analytics, Speech Recognition and Synthesis1 minute
The Translator Service1 minute
Detection, Translation, Transliteration and Translation3 minutes
Introduction to Language Understanding1 minute
Language Understanding (LUIS) Resources in Azure2 minutes
Intents and Utterances3 minutes
Entities5 minutes
Patterns, Patterns.Any() Entities and Language Understanding1 minute
Demo Speech Services - Speech to Text and Translation3 minutes

1 devoirTotal 15 minutes

Objective 4: Describe Features of Natural Language Processing Workloads on Azure - Assessment15 minutes

1 pluginTotal 15 minutes

Understanding NLP Workloads on Azure15 minutes

In this module, we will focus on building conversational AI solutions using Azure services such as QnA Maker and Language Understanding. We will guide you through creating intelligent bots, enhancing them with active learning, and deploying them in real-world scenarios.

Inclus

6 vidéos1 devoir1 plugin

6 vidéosTotal 10 minutes

What is Conversational AI?2 minutesPrévisualiser le module
AI Guidelines for Responsible Bots1 minute
Conversational AI in Azure: The QnA Maker Service2 minutes
QnA Maker vs Language Understanding1 minute
Active Learning1 minute
Creating a QnA Bot1 minute

1 devoirTotal 15 minutes

Objective 5: Describe features of conversational AI Workloads on Azure - Assessment15 minutes

1 pluginTotal 15 minutes

Features of Conversational AI on Azure15 minutes

In this module, we will prepare you for the AI-900 exam by reviewing example questions and offering strategies for effectively answering them. You will learn how to approach the questions with a critical mindset and improve your overall exam readiness.

Inclus

7 vidéos3 devoirs

7 vidéosTotal 194 minutes

Be Prepared to Answer Questions for AI-900: Example Questions (Part 1)5 minutesPrévisualiser le module
How to Think when Answering Questions for AI-900: Example Questions15 minutes
How to Answer Questions for AI-900: Example Questions19 minutes
Be Prepared to Answer Questions for AI-900: Example Questions (Part 1)26 minutes
Be Prepared to Answer Questions for AI-900: Example Questions (Part 2)42 minutes
Be Prepared to Answer Questions for AI-900: Example Questions (Part 3)48 minutes
Be Prepared to Answer Questions for AI-900: Example Questions (Part 4)37 minutes

3 devoirsTotal 90 minutes

Answering Questions for AI-900: How to think and how to answer - Assessment15 minutes
Full Course Assessment60 minutes
Full Course Practice Assessment15 minutes

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Instructeur

Packt - Course Instructors

Packt

801 Cours166 112 apprenants

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Foire Aux Questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.