This technical course helps in gaining important knowledge and skills needed for developing Azure AI solutions by creating a customer support chatbot by using AI from the MS Azure platform, which includes pre-built functionality and language understanding in the Azure Cognitive Services.
Course Price : $595 Per Participant
AI-900T00: Microsoft Azure AI Fundamentals introduces professionals to the core Azure services, core concepts, security, trust and compliance, and Azure support and pricing. This technical course helps in gaining important knowledge and skills needed for developing Azure AI solutions by creating a customer support chatbot by using AI from the MS Azure platform, which includes pre-built functionality and language understanding in the Azure Cognitive Services.
Our enterprise training program is best for large companies and organizations. It helps professionals develop a better understanding of Artificial Intelligence considerations and workloads and introductory principles of machine learning on Azure.
They will also learn about the features of system vision workloads on Azure. This training program is ideal for Azure AI Engineers that utilizes Machine Learning, Cognitive Services, and Knowledge Mining to implement and architect MS AI solutions involving speech, language processing, bots, computer vision, and agents.
This training is designed based on the objectives of the course variant AI-900T00-A.
Courses
Years of Experience
Global Learners
This course is intended for professionals having a deep interest in gaining knowledge about diversified types of AI. However, any specific experience with Microsoft Azure is not needed when enrolling in this course. Professionals need to know about the fundamental knowledge of mathematics and likewise interpret charts.
Additionally, the training covers hands-on activities evolving functioning with running and data codes. The basic knowledge of programming principles will be cooperative if you are seeking to sign up for this training.
Microtek Learning is a Microsoft Certified Partner for Learning Solutions. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).
In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.
After completing this module you will be able to
Machine learning is the foundation for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.
After completing this module you will be able to
Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services.
After completing this module you will be able to
This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.
After completing this module you will be able to
Conversational AI enables users to engage in a dialog with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.
After completing this module you will be able to
A basic understanding of Machine Learning (ML) and Artificial Intelligence (AI), and Azure services are essential for Azure AI Fundamentals certification.
With this certification, you can prove your knowledge of Machine Learning and Artificial Intelligence and how to perform them on Azure.
This certification is for both technical and non-technical backgrounds. Data Science and Software Engineering skills are not required, but a fundamental knowledge of programming or experience would be beneficial.
Step 1: Review the skills and knowledge required to certify
Step 2: Train for certification exams with the following recommended training:
Step 3: Take the exam and get certified.
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