Microsoft Azure AI Fundamentals (AI-900T00)
Training plan
Module 1: Get started with AI on Azure
- Understand machine learning
- Understand anomaly detection
- Understand computer vision
- Understand natural language processing
- Understand knowledge mining
- Challenges and risks with AI
- Understand Responsible AI
Module 2: Use Automated Machine Learning in Azure Machine Learning
- What is machine learning?
- What is Azure Machine Learning studio?
- What is Azure Automated Machine Learning?
- Understand the AutoML process
Module 3: Create a regression model with Azure Machine Learning designer
- Identify regression machine learning scenarios
- What is Azure Machine Learning?
- What is Azure Machine Learning designer?
- Understand steps for regression
Module 4: Create a classification model with Azure Machine Learning designer
- Identify classification machine learning scenarios
- What is Azure Machine Learning?
- What is Azure Machine Learning designer?
- Understand steps for classification
Module 5: Create a clustering model with Azure Machine Learning designer
- Identify clustering machine learning scenarios
- What is Azure Machine Learning?
- What is Azure Machine Learning designer?
- Understand steps for clustering
Module 6: Analyze images with the Computer Vision service
- Get started with image analysis on Azure
Module 7: Classify images with the Custom Vision service
- Understand classification
- Get started with image classification on Azure
Module 8: Detect objects in images with the Custom Vision service
- What is object detection?
- Get started with object detection on Azure
Module 9: Detect and analyze faces with the Face service
- Get started with Face analysis on Azure
Module 10: Read text with the Computer Vision service
- Get started with the Read API on Azure
Module 11: Analyze receipts with the Form Recognizer service
- Get started with receipt analysis on Azure
Module 12: Analyze text with the Language service
- Get started with text analysis
Module 13: Recognize and synthesize speech
- Get started with speech on Azure
Module 14: Translate text and speech
- Get started with translation in Azure
Module 15: Create a language model with Conversational Language Understanding
- Getting started with Conversational Language Understanding
Module 16: Build a bot with the Language Service and Azure Bot Service
- Get started with the Language service and Azure Bot Service
Recommended Prerequisite Knowledge
- Experience using computers and the internet.
- Interest in use cases for AI applications and machine learning models.
- A willingness to learn through hands-on exploration.
Credentials and certification
Exam features
- Code: AI-900
- Title: Microsoft Azure AI Fundamentals
- Duration: 60 minutes
- Number of Questions: 65
- Question Format: Multiple choice, multiple response, scenario-based
- Passing Score: 700 out of 1000
- Cost: $99 USD
Exam topics
- Describe Artificial Intelligence workloads and considerations
- Describe fundamental principles of machine learning on Azure
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
- Describe features of generative AI workloads on Azure
Eccentrix Corner article/publication
What is AI-900?
AI-900, known as the Microsoft Azure AI Fundamentals certification, targets individuals keen on gaining proficiency in fundamental AI concepts and their practical application in Azure services. This certification is ideal for beginners, offering insights into AI technologies, machine learning models, Azure AI services, and their role in developing AI solutions.
Significance and Objectives
The significance of AI-900 lies in its role as a steppingstone for individuals aspiring to explore the AI landscape within the Azure framework. The course aims to impart foundational knowledge of AI concepts, including machine learning, computer vision, natural language processing (NLP), and conversational AI, while emphasizing their implementation through Azure services.
Scope and Target Audience
The scope of AI-900 encompasses a broad range of AI fundamentals, making it suitable for beginners, developers, business users, or anyone interested in comprehending AI technologies within the Azure environment. The course does not require extensive technical expertise, making it accessible to individuals from diverse backgrounds.
AI-900 Exam Preparation
Preparation for the AI-900 exam involves a systematic approach. Microsoft offers learning paths, study materials, and practice tests to help candidates familiarize themselves with the exam topics. Hands-on experience with Azure services, exploring Azure AI functionalities, and understanding the basics of AI workloads are crucial elements for effective exam readiness.
AI-900 Learning Resources
Microsoft Learn provides a structured learning path for AI-900, offering modules covering AI fundamentals, Azure AI services, and their applications. Additionally, practice tests, study guides, and relevant documentation are available to aid in exam preparation.
AI-900 vs AZ-900
While AZ-900 focuses on Azure fundamentals, AI-900 specifically delves into AI concepts and their implementation within Azure services. Both certifications cater to different domains within the Azure ecosystem, with AI-900 concentrating on AI technologies.
AI-900 vs AI-102
AI-102 is an advanced certification focusing on designing and implementing AI solutions, whereas AI-900 serves as an introductory course covering fundamental AI concepts and their application in Azure.
Conclusion
In summary, the Microsoft AI-900 certification course is an essential entry point for individuals seeking to understand AI fundamentals within the Azure environment. Its broad coverage of AI concepts, coupled with practical applications using Azure services, makes it a valuable steppingstone towards more advanced certifications in the AI domain. As AI continues to revolutionize industries, gaining proficiency through AI-900 opens doors to numerous opportunities in the ever-evolving field of artificial intelligence.
Common Questions about AI-900 (FAQ)
Is AI-900 certification worth it?
AI-900 certification is highly beneficial for individuals looking to establish a foundational understanding of AI concepts within the Azure environment. It serves as an entry point into the world of artificial intelligence and can significantly enhance one’s career prospects in fields related to AI and Azure technologies.
What is AI-900 used for?
AI-900 focuses on imparting fundamental knowledge about artificial intelligence and its application within the Azure framework. It covers various AI concepts such as machine learning, computer vision, natural language processing, and more, providing a basis for utilizing AI technologies in developing solutions within Azure services.
Is AI-900 free or paid?
AI-900 is a paid certification offered by Microsoft. However, Microsoft provides learning resources, study materials, and documentation through Microsoft Learn, which can be accessed for free to prepare for the exam. But to obtain the official certification, candidates need to pay for the exam.
Does AI-900 expire?
The AI-900 certification does not expire. Once you have earned the certification, it remains valid indefinitely, signifying your foundational knowledge in AI fundamentals within the Azure ecosystem.
How long does it take to study for AI-900?
The duration to prepare for the AI-900 exam can vary based on individual familiarity with AI concepts and Azure services. Generally, dedicated study over a few weeks, involving thorough understanding of the learning modules and hands-on practice with Azure AI services, is recommended for adequate preparation.