Ai-900 Azure Ai Fundamentals Complete Exam Prep

Clear the AI-900 Exam with Ease! Incl. Full Practice Exam | Learn Microsoft Azure AI, Machine Learning & Generative AI

What you'll learn

PASS the Microsoft Azure AI Fundamentals Exam (AI-900)

Full Practice Exam with Detailed Explanations

Access to All Downloadable Slides & Resources

Up-to-Date & Complete Coverage of All Topics

Hands-On Demonstrations & Real-World Scenarios

Build a Strong Foundation in AI and Azure to kickstart your AI and cloud career

Understand and apply Azure Vision Studio to build computer vision models

Learn Azure Document Intelligence for automating document processing

Master Azure Machine Learning to build, train, and deploy models

Implement AI Speech services for speech-to-text and text-to-speech

Requirements

No previous experience with Azure or AI is needed

Beginner-friendly—you will learn everything from scratch, including AI and cloud fundamentals

Description

The ONLY course you need to prepare and PASS the Microsoft Azure AI Fundamentals exam (AI-900) and become certified in AI on Azure!Make your exam preparation easy and effective with this course — including a full practice exam!This course teaches you every single topic you need to master the exam with ease.Why is this the ONLY course you need to pass the Microsoft Azure AI Fundamentals exam?Every single topic is covered in depth100% up-to-date!Hands-On & PracticalFull practice exam including all explanationsPractical & Real-World SkillsTips for successThis course guides you step-by-step to prepare in the best possible way for the exam.Don’t waste your time on outdated resources—focus on what really matters to master the exam!This course prepares you to build foundational knowledge of AI concepts, Azure services, and the tools you need to start your journey in AI and cloud technology.Your InstructorHi, my name is Nikolai, and I am Azure Certified, teaching cloud computing and AI concepts to learners in over 200 countries. My mission with this course is to take the stress out of your exam prep, making it engaging, efficient, and impactful. I want to make sure you have the best chances of succeeding and taking a significant step forward in your career with the Azure AI Fundamentals certification.Enroll Now and Get:Lifetime Access including all future updatesHigh-quality video contentAll slides & project files as downloadable resourcesFull practice exam with explanationsTips for success & expert-level support30-day money-back guarantee (no-questions-asked!)Become an Expert & Master AI Fundamentals on Azure:PASS the Microsoft Azure AI Fundamentals (AI-900) examLearn core concepts of Artificial Intelligence and Machine LearningUnderstand Azure AI services and their applicationsBuild, train, and deploy AI models using Azure Machine LearningAnalyze data with Azure Synapse AnalyticsPerform computer vision tasks with Azure Cognitive ServicesImplement natural language processing with Azure Language UnderstandingUse Azure Bot Services to build conversational AIExplore responsible AI practices and ethics in AILearn the fundamentals of AI security and governance in AzureWhether you’re new to AI or looking to expand your Azure expertise, this course has everything you need—practical labs, a full practice exam, and up-to-date content that covers every aspect of AI on Azure.Take this step today—this could be your first move toward a successful career in AI and cloud technology!Looking forward to seeing you inside the course!

Overview

Section 1: Let's get started and set up!

Lecture 1 Welcome

Lecture 2 About the AI-900 Certification Exam

Lecture 3 Working with the Course & How to Pass the Exam

Lecture 4 Course Study Slides

Lecture 5 Create Free Trial Azure Account

Lecture 6 Basics of Azure Portal

Lecture 7 Setting up a Budget in Azure

Section 2: Introduction to Artificial Intelligence

Lecture 8 Introduction to AI

Lecture 9 Understanding Deep Learning

Lecture 10 Azure AI Services: The Fundamentals

Lecture 11 Challenges and Risks with AI

Section 3: Azure Computer Vision

Lecture 12 Introduction to Computer Vision

Lecture 13 Natural Language & Computer Vision

Lecture 14 Azure AI Vision Overview

Lecture 15 Analyzing Images in Azure Vision Studio (Hands-on)

Lecture 16 Implementing Vision Services (Hands-on)

Lecture 17 Optical Character Recognition (OCR)

Lecture 18 Reading Text in Vision Studio (Hands-on)

Lecture 19 Facial Recognition with Azure AI Face

Lecture 20 Facial Analysis in Azure AI Face (Hands-on)

Section 4: Azure Machine Learning

Lecture 21 Machine Learning Fundamentals

Lecture 22 Machine Learning Types

Lecture 23 Classification

Lecture 24 Regression

Lecture 25 Clustering

Lecture 26 Setting up Workspace in Azure Machine Learning (Hands-on)

Lecture 27 Create a Compute Cluster & Launch Designer (Hands-on)

Lecture 28 Clean & Transform Data in AzureML (Hands-on)

Lecture 29 Train & Evaluate Model in Azure Machine Learning (Hands-on)

Lecture 30 Deploy Endpoint in Azure Machine Learning (Hands-on)

Lecture 31 Cleaning up Resources (Hands-on)

Section 5: Azure Generative AI

Lecture 32 Large Language Models (LLMs)

Lecture 33 Essentials of Prompt Engineering

Lecture 34 Prompting Techniques

Lecture 35 Azure AI Foundry Overview

Lecture 36 Azure AI Foundry (Hands-on)

Lecture 37 Exploring Models in AI Foundry(Hands-on)

Lecture 38 Exploring Azure OpenAI (Hands-on)

Lecture 39 Exploring Playground & Enhancing Model (Hands-on)

Lecture 40 Cleaning Up Resoures (Hands-on)

Lecture 41 Microsoft Copilot Overview

Section 6: Azure AI Language & Conversational AI

Lecture 42 Azure AI Language: Fundamentals

Lecture 43 Question Answering with AI Language Studio (Hands-on)

Lecture 44 Conversational Language Understanding

Lecture 45 Speech Recognition & Synthesis

Lecture 46 Azure AI Translator

Lecture 47 Exploring Conversational Language Understanding (Hands-on)

Lecture 48 Azure AI Speech Studio (Hands-on)

Section 7: Document Intelligence & Knowledge Mining

Lecture 49 Understanding Document Intelligence

Lecture 50 Data Extraction with Document Intelligence Studio (Hands-on)

Lecture 51 Knowledge Mining & AI Search

Section 8: Responsible AI

Lecture 52 Responsible AI Challenges and Strategies

Lecture 53 Strategies against Bias & Variance

Lecture 54 Core Dimensions of Responsible AI

Lecture 55 Model Trade-Offs in Responsible AI

Lecture 56 Principles of Human-Centered Design for AI

Lecture 57 Content Filters in Azure AI Foundry (Hands-on)

Section 9: Getting ready for the exam

Lecture 58 Final tips & booking the exam

Lecture 59 Getting the certification and posting it

Aspiring AI professionals looking to kickstart their careers in AI and cloud computing.,Data professionals including data scientists, analysts, and IT experts.,Developers and technologists seeking hands-on knowledge of Azure AI services.,Learners aiming to gain foundational knowledge in AI to pass the AI-900 certification exam.