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AI
Cloud
Certification

AI-900: Microsoft Azure AI Fundamental

Master the fundamentals of AI and Azure’s powerful tools with AI-900: Microsoft Azure AI Fundamentals—your gateway to building responsible, cutting-edge AI solutions.
Rithin Skaria
Author | Speaker | Trainer (MCT)
DevOps Pre-Requisite Course
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What you’ll learn

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Description

Welcome to AI-900: Microsoft Azure AI Fundamentals! This course is designed to provide a foundational understanding of artificial intelligence and equip you with the skills to implement AI responsibly using Azure’s powerful tools. Guided by expert instructor Rithin Skaria, you’ll gain insights into essential AI concepts, practical applications, and hands-on experience with Azure's suite of AI services.

In this course, you’ll start with the basics of AI, covering its definitions, applications, and ethical considerations that shape responsible AI usage. From there, you’ll dive into Machine Learning Fundamentals, where you’ll learn about different types of machine learning, gain hands-on experience with model training, and explore deep learning techniques. With Azure Machine Learning, you’ll discover a user-friendly platform to develop and deploy AI solutions efficiently.

The course then introduces Azure AI Services, offering a range of tools to add intelligence to applications swiftly and effectively. You’ll delve into Computer Vision, learning how to analyze and interpret visual data, and explore Natural Language Processing (NLP) to build applications capable of understanding and responding to human language with tools like Language Studio and Speech Studio. Document Intelligence will equip you to automate document handling and data extraction, unlocking insights from text-heavy content.

Further modules cover Azure AI Search, enhancing search capabilities through knowledge mining, and Generative AI, where you’ll discover how Azure’s innovative AI tools can transform applications through language models and custom prompts, supported by Azure OpenAI integration.

The course concludes with Responsible Generative AI, emphasizing the importance of ethical AI practices and equipping you to plan AI solutions that are safe, fair, and aligned with industry standards.

With a mix of hands-on labs, real-world projects, and access to KodeKloud’s vibrant community forum, you’ll gain the confidence to work with OpenAI’s language and vision models effectively. Whether you’re new to AI or seeking to incorporate it into your career, AI-900 offers a comprehensive guide to mastering the fundamentals and applications of AI on Azure.

Enroll today and take the first step toward harnessing the power of AI with confidence!

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What our students say

About the instructor

Rithin Skaria, with over 9 years of experience, is a Cloud Solution Architect at Microsoft Qatar. He is proficient in Azure, AWS, and Openstack Cloud, and has deep expertise in virtualization and hypervisors like Hyper-V and VMWare.

Skaria is also skilled in Linux, certified as LFCE and LFCS, and has practical experience in Docker and Kubernetes. His career includes authoring Azure-related publications and delivering technical training, highlighting his commitment to cloud technology innovation and education.

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Introduction

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Module Content

Course Introduction 04:20
Certification Details 04:00
Join Our Community

Fundamental AI Concepts

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Module Introduction 01:42
What Is Artificial Intelligence? 06:23
Common AI Workloads 03:33
Principles of Responsible AI 08:45
Quiz: Fundamental AI Concepts

Fundamentals of Machine Learning

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Module Introduction 02:54
What Is Machine Learning? 04:07
Types of Machine Learning 04:29
Training and Evaluation of Models 04:57
Deep Learning 09:23
Introduction to Azure ML 04:37
Quiz: Fundamentals of machine learning

Introduction to Azure AI Services

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Module Introduction 01:05
Fundamentals of Azure AI 02:44
Azure AI Services 10:40
Quiz: Introduction to Azure AI Services

Concepts of Computer Vision

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Module Introduction 01:25
Image Processing 02:14
Convolutional Neural Networks 03:20
Explore Multi-Modal Models 03:05
Azure Computer Vision Services 05:57
Quiz: Concepts of Computer Vision

Azure Computer Vision Capabilities

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Module Introduction 01:51
AI Vision Service and Image Analysis 12:30
Face Service to Detect Faces 07:45
Optical Character Recognition (OCR) to Read Text 04:03
Quiz: Azure Computer Vision Capabilities

Natural Language Processing (NLP)

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Module Introduction 00:43
Introduction to Natural Language Processing 04:23
NLP and Conversational AI in Azure 08:36
Quiz: Natural Language Processing (NLP)

Azure NLP Services

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Module Introduction 01:58
Text Analysis 08:06
Question Answering 07:18
Azure Bot Service 05:30
Conversational Language and Understanding 09:39
Speech Recognition and Synthesis 03:05
Quiz: Azure NLP Services

Azure AI Document Intelligence

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Module Introduction 02:04
AI Document Intelligence Services 04:13
Form Analysis Using Document Intelligence 02:33
Document Intelligence Studio 06:07
Quiz: Azure AI Document Intelligence

Azure AI Search

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Module Introduction 00:55
Introduction to Knowledge Mining 02:32
Azure AI Search Services 06:33
AI Enrichment 10:21
Quiz: Azure AI Search

Generative AI

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Module Introduction 01:35
Introduction to Generative AI 01:30
Language Models 02:16
Language Model Training 05:38
Foundation Models 03:02
Large and Small Language Models 02:22
What Are Copilots? 04:16
Microsoft Copilot Services 05:43
Copilot Prompts Considerations 04:38
Developing And Extending Copilot 03:33
Quiz: Generative AI

Fundamentals of Azure OpenAI

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Module Introduction 01:20
What Is Azure OpenAI? 02:38
Models Supported by Azure Open AI 02:23
Azure OpenAI Capabilities 08:30
Quiz: Fundamentals of Azure OpenAI

Responsible Generative AI

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Module Introduction 00:24
Plan a Responsible Generative AI Solution 02:33
Quiz: Responsible Generative AI

Mock Exams

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Mock Exam 1
Mock Exam 2
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