Overview
Unlock the power of Azure AI.
This Microsoft Certified: Azure AI Fundamentals certification course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.
The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
Skills Covered
After completing this course, you will be able to:
- 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 conversational AI workloads on Azure
Who Should Attend
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts.
The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
Course Curriculum
Prerequisites
Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.
Specifically:
- 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.
Download Course Syllabus
Course Modules
With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.
Learning objectives
In this module, you’ll learn about the kinds of solution AI can make possible and considerations for responsible AI practices.
Prerequisites
None
Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier.
Learning objectives
Learn how to use the automated machine learning user interface in Azure Machine Learning
Prerequisites
Ability to navigate the Azure portal
Regression is a supervised machine learning technique used to predict numeric values. Learn how to create regression models using Azure Machine Learning designer.
Learning objectives
Learn how to train and publish a regression model with Azure Machine Learning designer.
Prerequisites
Ability to navigate the Azure portal
Classification is a supervised machine learning technique used to predict categories or classes. Learn how to create classification models using Azure Machine Learning designer.
Learning objectives
Train and publish a classification model with Azure Machine Learning designer
Prerequisites
Ability to navigate the Azure portal
Clustering is an unsupervised machine learning technique used to group similar entities based on their features. Learn how to create clustering models using Azure Machine Learning designer.
Learning objectives
Train and publish a clustering model with Azure Machine Learning designer
Prerequisites
Ability to navigate the Azure portal
The Computer Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.
Learning objectives
Learn how to use the Computer Vision cognitive service to analyze images.
Prerequisites
Ability to navigate the Azure portal
Image classification is a common workload in artificial intelligence (AI) applications. It harnesses the predictive power of machine learning to enable AI systems to identify real-world items based on images.
Learning objectives
Learn how to use the Custom Vision service to create an image classification solution.
Prerequisites
Ability to navigate the Azure portal
Object detection is a form of computer vision in which artificial intelligence (AI) agents can identify and locate specific types of object in an image or camera feed.
Learning objectives
Learn how to use the Custom Vision service to create an object detection solution.
Prerequisites
Ability to navigate the Azure portal
Face detection, analysis, and recognition are important capabilities for artificial intelligence (AI) solutions. The Face cognitive service in Azure makes it easy integrate these capabilities into your applications.
Learning objectives
Learn how to use the Face cognitive service to detect and analyze faces in images.
Prerequisites
Ability to navigate the Azure portal
Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.
Learning objectives
Learn how to read text in images with the Computer Vision service
Prerequisites
Ability to navigate the Azure portal
Processing invoices and receipts is a common task in many business scenarios. Increasingly, organizations are turning to artificial intelligence (AI) to automate data extraction from scanned receipts.
Learning objectives
Learn how to use the built-in receipt processing capabilities of the Form Recognizer service
Prerequisites
Ability to navigate the Azure portal
Explore text mining and text analysis with the Language service’s Natural Language Processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Learning objectives
Learn how to use the Language service for text analysis
Prerequisites
Ability to navigate the Azure portal
Learn how to recognize and synthesize speech by using Azure Cognitive Services.
Learning objectives
In this module you will:
- Learn about speech recognition and synthesis
- Learn how to use the Speech cognitive service in Azure
Prerequisites
Ability to navigate the Azure portal
Automated translation capabilities in an AI solution enable closer collaboration by removing language barriers.
Learning objectives
After completing this module, you will be able to perform text and speech translation using Azure Cognitive Services.
Prerequisites
Ability to navigate the Azure portal
In this module, we’ll introduce you to Conversational Language Understanding, and show how to create applications that understand language.
Learning objectives
In this module, you’ll:
- Learn what Conversational Language Understanding is.
- Learn about key features, such as intents and utterances.
- Build and publish a natural-language machine-learning model.
Prerequisites
Ability to navigate the Azure portal
Bots are a popular way to provide support through multiple communication channels. This module describes how to use a knowledge base and Azure Bot Service to create a bot that answers user questions.
Learning objectives
After completing this module, you’ll be able to create a knowledge base with an Azure Bot Service bot.
Prerequisites
Ability to navigate the Azure portal
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Training Options
- ILT: Instructor-Led Training
- VILT: Virtual Instructor-Led Training
Exam & Certification
Microsoft Certified: Azure AI Fundamentals.
The Azure AI Fundamentals certification validates your foundational knowledge of machine learning and AI concepts, along with related Azure services. You earn it by passing Exam AI-900: Microsoft Azure AI Fundamentals.
Use your Azure AI Fundamentals certification as a starting point to explore deeper training for Azure technologies and to chart your path forward. Whether you’re looking to advance your career or to jump-start a new one, the message is the same: establish your foundations. Earn your certification and open up new possibilities for your career and for turning your AI and machine learning ideas into solutions on Azure.
Training & Certification Guide
Candidates for the Azure AI Fundamentals certification should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.
This certification is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.
This certification is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.
Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.
Prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; features of Natural Language Processing (NLP) workloads on Azure; and features of conversational AI workloads on Azure.
Skills measured:
- Describe AI workloads and considerations (15-20%)
- Describe fundamental principles of machine learning on Azure (30-35%)
- Describe features of computer vision workloads on Azure (15-20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
- Describe features of conversational AI workloads on Azure (15-20%)
When you earn a certification or learn a new skill, it’s an accomplishment worth celebrating with your network. It often takes less than a minute to update your LinkedIn profile and share your achievements, highlight your skills, and help boost your career potential. Here’s how:
- If you’ve earned a certification already, follow the instructions in the congratulations email you received. Or find your badge on your Certification Dashboard, and follow the instructions there to share it. (You’ll be transferred to the Acclaim website.)
- To add specific skills, visit your LinkedIn profile and update the Skills and endorsements section. Tip: We recommend that you choose skills listed in the skills outline guide for your certification.
Your Microsoft Certification can help validate that you have the skills to stay ahead with today’s technology. It can also help empower you with a boost in confidence and job satisfaction—and maybe even a salary increase.
Use your Azure AI Fundamentals certification as a starting point to explore deeper training for Azure technologies and to chart your path forward. Whether you’re looking to advance your career or to jump-start a new one, the message is the same: establish your foundations. Earn your certification and open up new possibilities for your career and for turning your AI and machine learning ideas into solutions on Azure.
Azure Strategy & Implementation Guide
Get a step-by-step introduction to using Azure for your cloud infrastructure with this Pack e-book. Read the latest edition of the Azure Strategy and Implementation Guide for detailed guidance on how to create a successful cloud adoption strategy with new innovations, capabilities, and security features from Microsoft Azure.
Microsoft Azure SQL Jumpstart Guide
Find out how to get started launching your first Azure SQL database or find ways to make your existing SQL database work harder. Download the Azure SQL Jumpstart Guide for detailed instructions and in-depth insights to help you make your Azure SQL deployment, migration, or enhancement run smoothly.
Low-code Application Development – Microsoft PowerApps and Azure
Build production-ready apps faster with a low-code environment. Quickly stand up your applications with Power Apps and get more time to apply your technical expertise to extending and optimizing those apps in Azure.
Azure Cloud Native Architecture Mapbook
Grow your cloud architecture skills with guidance from Azure Experts. Go beyond developing cloud-native applications to planning and implementing cloud application infrastructure. In this free e-book from Packt Publishing, you’ll find best practices for infrastructure design and patterns for building a complete solution.
Windows Virtual Desktop Security
Find out how to secure your Windows Virtual Desktop environment when migrating your virtual desktop infrastructure (VDI) to Azure. Read this security handbook to get technical hands-on guidance on how to help protect your apps and data in your Windows Virtual Desktop deployment.
Discover how to get more value from your on premises Windows Server and SQL Server investments and move some or all of your workloads to the cloud using your existing skills. See how to start using the cloud to support new ways of doing business and help ensure business continuity even if you need to keep some of your IT assets on-premises due to regulatory or data governance requirements.
Discover how to build highly scalable applications using containers and how to deploy and manage those containers at scale with Kubernetes on Azure. Read the completely reviewed and updated Packet e-book, Hands-On Kubernetes on Azure, Third Edition and discover what’s new, including security enhancements, continuous integration and continuous delivery (CI/CD) automation, and the latest supported technologies. Gain insight into building reliable applications in the new foreword by Kubernetes co-founder Brendan Burns.
Azure Synapse Analytics Proof of Concept Playbook
Learn how to perform a proof of concept efficiently and economically with Azure Synapse Analytics. Read the Azure Synapse Analytics Proof of Concept Playbook to understand the key concepts involved in deploying data warehousing, data lake, and big data workloads with Azure Synapse and get the evidence you need to make the case for implementation at your organization.
Spend less time managing server infrastructure and more time building great apps. Get your solutions to market faster using Azure Functions, a fully managed compute platform for processing data, integrating systems, and building simple APIs and microservices. The Azure Serverless Computing Cookbook will, through the development of basic back-end wep API that performs simple operations, helps you understand how to persist data in Azure Storage services.
Frequently Asked Questions
Earning a Microsoft Certification is globally recognized and industry-endorsed evidence of mastering real world skills. It shows you demonstrate proficiency in keeping pace with technology. It’s a career move that yields many positive results.
Getting a Microsoft Certification is also a great way to break into the tech industry. A Microsoft Certification immediately confers a level of authority and expertise, especially helpful for someone new to the industry.
The number of questions on a certification exam is subject to change as Microsoft make updates to ensure it aligns with current changes in the technology and job role. Most Microsoft Certification exams typically contain between 40-60 questions; and around 60-140 minutes.
Starting June 30 2021, all newly earned role-based and specialty certifications will be valid for one year from the date the certification was earned.
To stay up to date, IT pros are constantly learning and adding skills. The IDC study concluded that Microsoft Learning Partners such as Trainocate Malaysia which won the Microsoft Learning Partner of the Year 2021 award are well positioned to help organizations achieve their business and learning goals. The IT leaders who were surveyed found the most value from a Learning Partner that provides:
- An end-to-end solution which starts with identifying skill gaps, simplifies the learning experience, and finishes by evaluating how well the Learning Partner met the organization goals.
- Scale, flexibility, and speed to train teams of any size, in any location, amid changing circumstances.
- Value-added services, such as hands-on labs, classroom training, and custom content that help the skills development program succeed.
- High-quality content and delivery, meaning accurate, relevant courseware, top-notch instructors, and a path to certification, if needed.
Further compliment skills gained from AI-900T00 with these recommended courses:
AZ-220T00: Microsoft Azure IoT Developer
This Microsoft Azure IoT Developer course provides students with the skills and knowledge required to successfully create and maintain the cloud and edge portions of an Azure IoT solution. The course includes full coverage of the core Azure IoT services such as IoT Hub, Device Provisioning Services, Azure Stream Analytics, Time Series Insights, and more. In addition to the focus on Azure PaaS services, the course includes sections on IoT Edge, device management, monitoring and troubleshooting, security concerns, Azure Digital Twins, and Azure IoT Central.
AZ-305T00: Designing Microsoft Azure Infrastructure Solutions
This course teaches Azure Solution Architects how to design infrastructure solutions. Course topics cover governance, compute, application architecture, storage, data integration, authentication, networks, business continuity, and migrations. The course combines lecture with case studies to demonstrate basic architect design principles
AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
The AI-102T00 Designing and Implementing an Azure AI Solution training is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language and prepares learners for the Microsoft Certified: Azure AI Engineer Associate certification.
Not sure? Do check out our latest Azure Training and Certification post to know more.