Microsoft Azure AI Fundamentals
Master AI Capabilities in Azure and create innovative solutions, enhance your applications, and drive advancements across various industries
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Microsoft Azure AI Fundamentals
Start your AI journey today and advance your future in tech.
What does the Course Offer
6
16
8
5
18
Objectives
Practice Tests
Training Hours
Exercises
Knowledge Checks
The Microsoft Azure AI Fundamentals course introduces key AI concepts and Azure AI services. Ideal for beginners, this course covers foundational topics in artificial intelligence, machine learning, and data science, with a focus on Azure’s tools like Azure Machine Learning and Cognitive Services. Learners will gain practical skills to build, deploy, and manage AI models using Azure’s cloud platform. By the end, participants will be equipped to start creating AI-driven solutions and exploring further AI certifications.
Course Overview
Artificial Intelligence (AI) will define the next generation of software solutions and unlocks the potential to create amazing applications.
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.
This course can be taken as an optional first step in learning about cloud AI services with Microsoft Azure, before taking further Azure role-based certifications
Learning Outcomes
Upon completing the Microsoft Azure AI Fundamentals course, learners will be able to:
Understand AI Concepts: Grasp the basics of AI, machine learning (ML), and data science, including key techniques like supervised and unsupervised learning.
Explore Azure AI Services: Gain familiarity with Azure’s AI tools, such as Azure Machine Learning, Cognitive Services, and Azure Databricks, to create AI solutions.
Apply Machine Learning Models: Learn how to use machine learning algorithms for regression, classification, and clustering tasks.
Work with Cognitive Services: Leverage pre-built AI models from Azure Cognitive Services for vision, language, speech, and decision-making.
Deploy AI Solutions: Understand the steps to deploy, monitor, and manage AI models using Azure Machine Learning.
Embrace Ethical AI: Recognize the importance of ethical AI practices in building responsible and fair AI models.
Audience Profile
Aspiring AI professionals
Business Analysts
Developers
Solution Architects
Data Scientists
Business Professionals
Prerequisites
None
Course Objectives
Describe Artificial Intelligence workloads and considerations
Describe principles of Machine Learning on Azure
Describe features of Computer Vision workloads on Azure
Describe features of NLP workloads on Azure
Describe features of Generative AI workloads on Azure
Course Outline
Prerequisites (1 Hour)
Install Visual Studio
Install Azure PowerShell & CLI
Create/Access Microsoft Learn Account
Create/Access GitHub Account
Create/Access Microsoft Azure Account
AI Overview
Fundamental AI Concepts
Understand Principles of Responsible AI
Basics of Machine Learning
Explore Azure Machine Learning
Explore Azure AI services
Explore Azure AI Content Safety
Vision & Language Services
Fundamentals of Vision Services (Vision, OCR & Facial Recognition)
Explore Azure AI Language Services
Natural Language Processing Services
Fundamentals of Natural Language Processing (NLP) Services
Explore Text Mining, Language Understanding, Question & Answering, Speech and Translation
Document Intelligence & Mining Solutions
Fundamentals of Document Intelligence
Fundamentals of Knowledge Mining & AI Search
Explore Document Intelligence & AI Search
Generative AI Fundamentals
Fundamentals of Generative AI
Introduction to Azure AI Studio
Responsible Generative AI
Demo Generative AI & Content filtering
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Master technologies for business success.
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When you aim to complete end to end learning for perform specific roles
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