Duration: 1 Day
Course Overview
This course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions..
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COURSE OBJECTIVES
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
Course Content
Chapter 1: Introduction to AI Concepts
• Explore core AI topics including generative AI, computer vision, speech, natural language processing, and responsible AI.
Chapter 2: Introduction to Machine Learning Concepts
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.
• Introduction to Machine Learning
• Azure Machine Learning
After completing this module you will be able to
• Describe fundamental principles of machine learning on Azure
Chapter 3: Get Started with Machine Learning in Azure
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.
• Computer Vision Concepts
• Computer Vision in Azure
After completing this module you will be able to
• Describe features of computer vision workloads on Azure
Chapter 4: Introduction to Generative AI Concepts
• Discover how language models and transformers generate original content and apply responsible practices.
Module 5: Conversational AI
• Use Azure AI Foundry’s tools, model catalog, and playgrounds to build generative AI apps.
Chapter 6: Introduction to Natural Language Processing Concepts
• Learn the fundamentals of NLP, from statistical techniques to semantic models.
Chapter 7: Get Started with Natural Language Processing in Azure
• Apply Azure AI Language services for sentiment analysis, conversational AI, and translation.
Chapter 8: Get Started with Speech in Azure
• Recognize and synthesize speech with Azure AI Speech services.
Chapter 9: Introduction to Computer Vision Concepts
• Explore image processing, modern vision models, and machine learning for vision.
Chapter 10: Get Started with Computer Vision in Azure
• Use Azure AI Vision services to analyze images and detect faces.
Chapter 11: Introduction to AI-Powered Information Extraction Concepts
• Understand how to extract data from images, forms, and multimodal sources.
Chapter 12: Get Started with AI-Powered Information Extraction in Azure
• Use Azure AI services to extract insights, build knowledge mining solutions, and analyze documents
COURSE PREREQUISITES
Prerequisite certification is not required before taking this course. However, successful Azure AI Fundamental students start with essential knowledge of computing and internet concepts and an interest in using Azure AI services.
Before taking this course, participants should have:
• 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.
TEST CERTIFICATION
This course can help you prepare for the following Microsoft role-based certification exam:
Exam AI-900: Microsoft Certified: Azure AI Fundamentals.
To book this course please call
+44 (0) 1444 410296 or email Info@kplknowledge.co.uk

Training and accreditation is provided through Global Knowledge