Course Description
This course introduces the basic ideas behind artificial intelligence (AI) and the Microsoft Azure services that can be used to build AI products. The system's goal is to raise awareness of common AI workloads and the ability to recognize Azure services that can be used to support them, not to train students to become expert data scientists or software developers. The hands-on exercises in the system are based on Understand modules. The course material is available online on the Microsoft Understand platform (https://azure.com/understand) and is meant to be used alongside instructor-led training to create a blended learning experience. Professionals are encouraged to use the content on Understand as reference materials to reinforce what they understand in the class and explore topics in more depth.
Prerequisites
Before enrolling in this course, no prerequisite certification is necessary. Students who succeed in Azure AI Fundamental have a basic understanding of computer and internet concepts as well as an interest in using Azure AI services.
Specifically:
Internet and computer usage knowledge.
Interest in the use cases for machine learning and AI applications.
A willingness to understand through hands-on exploration
Target Audience
The Azure AI Fundamentals course is intended for anyone who is interested in learning about the kinds of solutions that artificial intelligence (AI) makes possible, as well as the Microsoft Azure services that you can use to build them. You don't need any prior Microsoft Azure experience to enroll in this course, but a working knowledge of computers and the Internet is assumed. A fundamental understanding of mathematics is necessary for some of the course's concepts, such as the ability to read charts. A basic understanding of programming concepts will be useful because the system includes practical exercises that require working with data and executing code.
Content Outline
In this module, You will gain an understanding of the types of solutions that AI can make possible, as well as the factors to be taken into account for ethical AI practices in this module.
With AI, we can create solutions that, just a short while ago, would have seemed science fiction. These solutions will enable incredible advancements in the fields of health care, money management, environmental protection, and other fields to create a better world for everyone.
- Training a machine understanding model is an iterative process that requires time and computing resources. Automated machine understanding can help make it easier.
- Understand how to use the automated machine understanding user interface in Azure Machine Understanding
- Regression is a supervised machine understanding technique used to predict numeric values. Understand how to create regression models using Azure Machine Understanding designer.
- Understand how to train and publish a regression model with Azure Machine Understanding designer
- Classification is a supervised machine understanding technique used to predict categories or classes. Understand how to create classification models using Azure Machine Understanding designer.
- Train and publish a classification model with Azure Machine Understanding designer
- Clustering is an unsupervised machine understanding technique that groups similar entities based on their features. Understand how to create clustering models using Azure Machine Understanding designer.
- Train and publish a clustering model with Azure Machine Understanding designer
- The Computer Vision service enables software engineers to develop intelligent solutions for extracting information from images, which is a common task in much artificial intelligence (AI) scenarios.
- Understand how to use the Computer Vision cognitive service to analyze images
- Image classification is a typical workload in artificial intelligence (AI) applications. It harnesses the predictive power of machine understanding to allow AI systems to identify real-world items based on images.
- Understand how to use the Custom Vision service to create an image classification solution.
- Artificial intelligence (AI) agents can recognize and locate particular types of objects in an image or camera feed using the computer vision technique known as object detection.
- Understand how to use the Custom Vision service to create an object detection solution.
- Face detection, analysis, and recognition are essential artificial intelligence (AI) solutions capabilities. The Face cognition service in Azure makes it easy to integrate these capabilities into your applications.
- Understand how to use the Face cognitive service to detect and analyze faces in images.
- Artificial intelligence (AI) systems can read the text in images thanks to optical character recognition (OCR), allowing applications to extract data from images, scanned documents, and other digital text sources.
- Understand how to read the text in images with the Computer Vision service
- Processing receipts and invoices is a typical task in many business contexts. Businesses are increasingly using artificial intelligence (AI) to automate the data extraction process from scanned receipts.
- Understand how to use the built-in receipt processing capabilities of the Form Recognizer service
- Explore text mining and analysis with the Language service's Natural Language Processing (NLP) features, including sentiment analysis, key phrase extraction, named entity recognition, and language detection.
- Understand how to use the Language service for text analysis
- In this module, you will:
- Understand speech recognition and synthesis
- Understand how to use the Speech cognitive service in Azure
- Automated translation capabilities in an AI solution enable closer collaboration by removing language barriers.
- After completing this module, you can perform text and speech translation using Azure Cognitive Services.
In this module, you'll:
- Understand what Conversational Language Understanding is.
- Understand critical features, such as intents and utterances.
- Build and publish a natural-language machine-understanding model.
- Create a bot using the Language Service and Azure Bot Service.
- Bots are a well-liked method of offering assistance through various communication channels. This module explains how to build a bot that responds to user inquiries using the Azure Bot Service and a knowledge base.
- You'll be able to develop a knowledge base with an Azure Bot Service once you've finished this module.
FAQs
To become an azure admin, you must start with azure fundamentals. An individual with a professional experience in Azure-specific job roles can easily aim at improving their skills with official certification. However, you could also be included in other scenarios.
The Azure AI Fundamentals course is intended for anyone who is interested in learning what kinds of solutions artificial intelligence (AI) enables, as well as the Microsoft Azure services you can use to build them.
No! Even if you're from a non-technical background, our AI-900: Microsoft Certified Azure AI Fundamentals course requires no coding skills.
The migration Assistant tool helps the user to examine your IIS installation. It allows the user to recognize which site can be migrated to the Cloud. In general, it features components that are either not migrated or unsupported on the Azure platform.
ASP.Net, PHP, and WCF are web applications that can be deployed with SQL Azure.
To attend the training session, you should have operational Desktops or Laptops with the required specification and a good internet connection to access the labs.
We would always recommend you attend the live session to practice & clarify the doubts instantly and get more value from your investment. However, if, due to some contingency, you have to skip the class, Radiant Techunderstanding will help you with the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.
Radiant Techunderstanding has a data center containing a Virtual Training environment for participants' hand-on-practice.
Participants can easily access these labs over Cloud with the help of a remote desktop connection.
Radiant virtual labs allow you to understand from anywhere and in any time zone.
The understanders will be enthralled as we engage them the real-world and industry Oriented projects during the training program. These projects will improve your skills and knowledge and give you a better experience. These real-time projects will help you greatly in future tasks and assignments.