The new AI-900 online course from Testprep Training is designed to help you comprehend the basic ideas behind artificial intelligence (AI) and the Microsoft Azure services that may be utilized to build AI solutions. In addition to teaching you how to become a skilled data scientist or software engineer, the course will increase your understanding of prevalent AI workloads and your capacity to recognize the Azure services needed to support them. The training will be complemented by online readings and practical activities in this mixed-learning environment.
Microsoft AI-900 Online Course Description
The AI-900 online course is a beginner-level course that provides an overview of AI concepts, tools, and techniques. It covers topics such as machine learning, computer vision, natural language processing, and cognitive services. Test prep Training has designed this course for individuals who want to learn about AI but may not have a technical background. With the growing demand for AI professionals, this course can be a great starting point for anyone looking to enter this field.
Test prep Training has not and will never disappoint you with its resources and training programs. The course AI-900 is completely online that offers you life-long access to 58 video lectures with a total time duration of 8+ hours. The course comes with unique study material covering in-depth detail and resources for the AI-900 exam.
This includes a full-length Mock Test with unique questions in each test set and practice objective questions with section-wise scores. Our experts at Test prep Training have done advanced-level research while designing these questions with exhaustive explanations. These practice questions are updated as per the content modifications and you will have unlimited access to these tests.
Quick Detail:
- Content-Type: Video
- Mode: Online
- Access: Immediate
- Access Duration: Life Long Access
- Videos Lecture: 58
- Total hours: 8+
- Practice Tests: Yes
Prerequisite for the course:
There are no specific prerequisites for taking the AI-900 exam. However, Microsoft recommends that individuals have some basic knowledge of cloud computing principles and some programming skills.
Having some knowledge of Microsoft Azure services is also beneficial, although it is not required. Additionally, having some basic knowledge of statistics and data analytics can also be helpful in understanding some of the machine-learning concepts covered in the exam.
Overall, the AI-900 exam is designed for individuals who want to demonstrate foundational-level knowledge of AI concepts and their applications using Microsoft Azure services. It is a great starting point for individuals who:
- Have knowledge about how to use the internet and computers.
- Have an interest in machine learning and AI application use cases and a readiness to learn via practical experience.
AI-900 Online Course Objectives:
The AI-900 online course covers the following areas:
- Introduction to Artificial Intelligence: The course starts with an introduction to AI, its applications, and its impact on businesses and society.
- Machine Learning: This module provides an overview of machine learning and its types, supervised and unsupervised learning, and deep learning.
- Computer Vision: In this module, you will learn about computer vision and its applications, image and video analysis, and image classification.
- Natural Language Processing: This module covers natural language processing, text analytics, and sentiment analysis.
- Conversational AI: This module covers conversational AI, chatbots, and virtual assistants.
- Azure AI Services: This module provides an overview of Azure AI services, including Cognitive Services, Machine Learning, and Bot Services.
- Responsible AI: In this module, you will learn about the ethical and responsible use of AI, including privacy, security, and transparency.
Course Outline
The AI-900 course curriculum covers foundational-level knowledge of AI concepts and their applications using Microsoft Azure services. It is designed to provide an overview of AI technologies, tools, and services, and how they can be used to solve real-world business problems. By completing this course, individuals will gain a solid understanding of AI concepts and how they can be applied using Azure AI services.
Topic 1: Describe Artificial Intelligence workloads and considerations (15-20%)
1.1 Identify features of common AI workloads
- identifying the features of data monitoring and anomaly detection workloads Anomaly Detector)
- Identify features of content moderation and personalization workloads
- identify computer vision workloads (Microsoft Documentation: Applying content tags to images, Detect common objects in images, Detect popular brands in images)
- identifying natural language processing workloads (Microsoft Documentation: Choosing a natural language processing technology in Azure)
- identify knowledge mining workloads (Microsoft Documentation: Explore knowledge mining)
- Identify document intelligence workloads
- Identify features of generative AI workloads
1.2 Identify guiding principles for responsible AI
- describing the considerations for fairness in an AI solution (Microsoft Documentation: Model performance and fairness (preview))
- explaining the considerations for reliability and safety in an AI solution (Microsoft Documentation: Responsible and trusted AI)
- describing the considerations for privacy and security in an AI solution (Microsoft Documentation: Responsible AI)
- explaining the considerations for inclusiveness in an AI solution (Microsoft Documentation: Responsible and trusted AI)
- describing considerations for transparency in an AI solution (Microsoft Documentation: Identify guiding principles for responsible AI)
- describing considerations for accountability in an AI solution (Microsoft Documentation: Responsible and trusted AI, Identify guiding principles for responsible AI)
Topic 2: Describe fundamental principles of machine learning on Azure (20-25%)
2.1 Identify common machine learning techniques
- identifying regression machine learning scenarios (Microsoft Documentation: Linear Regression)
- identifying classification machine learning scenarios (Microsoft Documentation: Classification modules)
- identify clustering machine learning scenarios (Microsoft Documentation: Clustering modules)
- Identify features of deep learning techniques
2.2 Describe core machine learning concepts
- identifying features and labels in a dataset for machine learning (Microsoft Documentation: Create and explore Azure Machine Learning dataset with labels)
- explaining how training and validation datasets are used in machine learning (Microsoft Documentation: Configure training, validation, cross-validation and test data in automated machine learning)
2.3 Describe Azure Machine Learning capabilities
- Describe capabilities of Automated machine learning (Microsoft Documentation: Automated machine learning (AutoML))
- Describe data and compute services for data science and machine learning
- Describe model management and deployment capabilities in Azure Machine Learning
Topic 3: Describe features of computer vision workloads on Azure (15-20%)
3.1 Identify common types of computer vision solution:
- identifying features of image classification solutions (Microsoft Documentation: Train image classification models with MNIST data and scikit-learn)
- identify features of object detection solutions (Microsoft Documentation: Detect common objects in images)
- identifying features of optical character recognition solutions (Microsoft Documentation: Optical Character Recognition (OCR))
- identify features of facial detection and facial analysis solutions
3.2 Identify Azure tools and services for computer vision tasks
- Describe capabilities of the Azure AI Vision service
- Describe capabilities of the Azure AI Face detection service
- Describe capabilities of the Azure AI Video Indexer service
Topic 4: Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
4.1 Identify features of common NLP Workload Scenarios
- identifying features and uses for key phrase extraction (Microsoft Documentation: How to extract key phrases using Text Analytics)
- identify the features and uses for entity recognition (Microsoft Documentation: Entity Recognition cognitive skill)
- identifying features and uses for sentiment analysis (Microsoft Documentation: What is sentiment analysis and opinion mining)
- identifying features and uses for language modeling (Microsoft Documentation: language detection in Azure Cognitive Service for Language)
- identify the features and uses for speech recognition and synthesis (Microsoft Documentation: Get started with speech-to-text, Speech service)
- identifying features and uses for translation (Microsoft Documentation: Translator service)
4.2 Identify Azure tools and services for NLP workloads
- identifying capabilities of the Azure AI Language Service (Microsoft Documentation: Azure Cognitive Service for Language)
- identify the capabilities of the Azure AI Speech service (Microsoft Documentation: Speech service)
- identify the capabilities of the Azure AI Translator service
5. Describe features of generative AI workloads on Azure (15–20%)
5.1 Identify features of generative AI solutions
- Identify features of generative AI models
- Identify common scenarios for generative AI
- Identify responsible AI considerations for generative AI
5.2 Identify capabilities of Azure OpenAI Service
- Describe natural language generation capabilities of Azure OpenAI Service
- Describe code generation capabilities of Azure OpenAI Service
- Describe image generation capabilities of Azure OpenAI Service
Benefits of taking the AI-900 course from Testprep Training
There are several reasons why someone might choose to take the Testprep Training AI-900 course:
1. Learn foundational AI concepts:
The AI-900 course covers foundational-level knowledge of AI concepts, including machine learning, computer vision, natural language processing, and conversational AI. By taking this course, individuals can gain a solid understanding of AI concepts and their practical applications.
2. Understand AI applications in business:
The course focuses on the practical applications of AI in business, including how AI can solve real-world problems. This can be valuable for individuals who want to understand how AI can be applied to their industry or business.
3. Prepare for the AI-900 certification exam:
The AI-900 online course is designed to prepare individuals for the Microsoft Certified: Azure AI Fundamentals certification exam. By taking this course, individuals can gain the knowledge and skills needed to pass the exam and earn the certification.
4. Advance your career:
The AI-900 certification demonstrates an individual’s foundational-level knowledge of AI concepts and their ability to apply them using Azure AI services. This can be beneficial for individuals who want to advance their careers in AI or want to transition into an AI-related role.
5. Keep up with emerging technologies:
AI is a rapidly evolving field, and it’s important to stay up-to-date with the latest trends and technologies. By taking the AI-900 course, individuals can stay current with the latest AI concepts and how they can use them in real-world scenarios.
6. Expert support:
You will expert-level assistance to help clarify any confusion you may have about the course material. They can provide answers to questions to have a better understanding of the material. Here, an expert will share their real-world experiences and insights related to the course material to help you see how the material applies to the real world.
7. Access to Practice Tests Questions:
Testprep training has inbuilt practice tests that you can access anywhere and anytime for life long. Practice tests allow individuals to assess their knowledge of the exam material and identify areas where they may need to study further. This can help individuals focus their studying efforts and prepare more effectively for the actual exam. This can help you become familiar with the format of the actual exam, including the types of questions that can appear and the time limit for the exam. Furthermore, you can identify their strengths and weaknesses in specific areas of the exam material.
Microsoft AI-900 Exam Details
The Microsoft AI-900 exam, also known as the Microsoft Azure AI Fundamentals exam, is a certification exam that tests an individual’s foundational-level knowledge of artificial intelligence (AI) concepts and their applications using Microsoft Azure services. The exam measures the individual’s understanding of AI workloads, machine learning principles, computer vision, natural language processing, conversational AI, and Azure AI services.
The exam consists of multiple-choice questions. The passing score for the exam is 700 out of 1000 points. The exam is designed for individuals who want to demonstrate their understanding of AI concepts and their practical applications using Microsoft Azure services.
- Number of Questions: 40-60
- Exam Cost: $99 USD (may vary by region)
- Certification: Microsoft Certified: Azure AI Fundamentals
Skills Measured in the Exam:
The AI-900 exam measures the following skills:
- Understanding AI workloads and considerations: This section covers the basics of AI, including its types, the workflow of an AI project, and ethical considerations.
- Fundamental principles of machine learning: This section covers the basics of machine learning, including its types, supervised and unsupervised learning, and deep learning.
- Understanding computer vision workloads and considerations: This section covers computer vision concepts, including image and video analysis, image classification, and object detection.
- Natural language processing workloads and considerations: This section covers natural language processing concepts, including text analytics, sentiment analysis, and language translation.
- Understanding conversational AI workloads and considerations: This section covers conversational AI concepts, including chatbots, virtual assistants, and speech recognition.
- Understanding Azure AI services and their common uses: This section covers Azure AI services, including Cognitive Services, Machine Learning, and Bot Services, and their common use cases.
Target Audience:
The AI-900 exam is designed for individuals who want to demonstrate foundational-level knowledge of AI concepts and their applications. The target audience for the AI-900 exam includes:
- Business Decision Makers: The exam is suitable for business decision-makers, including executives, managers, and directors, who want to understand AI and its potential impact on their organization.
- Technology Enthusiasts: The AI-900 exam is also suitable for technology enthusiasts who want to learn about AI, its concepts, and applications, including developers, data scientists, and IT professionals.
- Students and Educators: The exam is also suitable for students and educators who want to learn about AI concepts, applications, and services.
- Sales and Marketing Professionals: The AI-900 exam can also be beneficial for sales and marketing professionals who work in AI-related industries and want to understand AI concepts and applications.
Overall, the AI-900 exam is designed for anyone interested in AI and wants to learn about its concepts, applications, and services. It is a great starting point for individuals who want to pursue a career in AI or want to understand how AI can be applied to their business or industry.
Are you ready to qualify AI-900 Exam?
The AI-900 exam online course from Testprep Training can hold the secret to passing the test and earning a Microsoft certification. 58 video lectures are available for this exam, and they can all be watched at any time, anywhere. Keeping a reference tool close by can help you find an answer to any question quickly. Our Testprep training professionals have years of experience with Microsoft examinations. No exam should be challenging for you if you follow their study on the subject.
Also, you will get access to original practice test questions that you may use to improve your preparation as you practice every day. Many students have come to trust Testprep training because it constantly uses the most recent content. In order to cover all the subjects and areas, take this AI-900 course. Register right away to take the first step towards getting Microsoft Certified! So, what are you waiting for? Enroll Now!
