Azure AI Fundamentals Certification (AI-900) Training
About Course
The Azure AI Fundamentals Certification (AI-900) validates foundational knowledge of artificial intelligence concepts and how they are implemented using Microsoft Azure services. It covers AI principles, machine learning, natural language processing, computer vision, and Azure AI services like Azure Cognitive Services and Azure Machine Learning. Aimed at beginners and business stakeholders, AI-900 ensures understanding of AI capabilities and their practical applications in business scenarios. Certification holders demonstrate proficiency in leveraging Azure AI technologies to enhance decision-making processes, automate tasks, and innovate solutions, contributing to organizational efficiency and competitiveness in the rapidly evolving AI landscape.
What Will You Learn?
- 1. In-Demand Skills
- 2. Career Advancement
- 3. Efficient CRM Management
- 4. Data Security
- 5. Workflow Automation
- 6. Reporting Insights
- 7. Job OpportunitiesHours On Demanded Videos
Course Content
Module 1: Introduction
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IMP Note: Course Update
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Course Introduction
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Before you start.
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PPT and Demo Resources
Module 2: Azure Portal Introduction: For Begineers
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Create Azure Free Subscription
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Azure Portal Overview
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Azure Sandbox – How to use Azure Portal for absolutely free
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How to get FREE credits for Azure Portal
Module 3: AI workloads and considerations (15-20%)
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Learning objectives
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What is Artificial Intelligence
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[Retired] Prediction and Forecasting
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Anomaly Detection workloads
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Computer Vision workloads
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Natural language processing
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Knowledge mining workloads
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[Retired] Conversational AI workloads
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Introduction to Guiding Principles of responsible AI
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Guiding Principle – Fairness
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Guiding Principle – Reliability and Safety
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Guiding Principle – Privacy and Security
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Guiding Principle – Inclusiveness
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Guiding Principle – Transparency
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Guiding Principle – Accountability
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Articles and Blogs Per Objective (Further study material)
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PPT Notes for this section
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Actual exam questions: AI Fundamentals
Module 4: Fundamental principles of Machine Learning on Azure (30- 35%)
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Learning objectives
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Introduction to Machine Learning
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Rule-based vs Machine Learning based Learning
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Classification vs Regression vs Clustering Machine Learning Types
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Feature Selection and Feature Engineering
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Training vs Validating Dataset
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Machine Learning Algorithms
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Demo Part1.1 ML Workspace
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Demo Part1.2 Regression Model
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Demo Part1.3 Delete Resources
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Demo 2.1 Classification Model
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Demo 3.1 Automated Machine Learning
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Demo: Delete Compute
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Articles and Blogs Per Objective (Further study material)
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PPT Notes for this section
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Actual exam questions: Machine Learning
Module 5: Describe features of computer vision workloads on Azure (15-20%)
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Learning objectives
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Image Classification vs Object Detection vs Semantic Segmentation
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Optical Character Recognition OCR
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Face Detection Recognition and Analysis
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What is Cognitive Services
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What is Computer Vision Services
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Demo: Computer Vision
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Custom Vision Service
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Demo: Custom Vision Service
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Face Service
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Form Recognizer Service
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Articles and Blogs Per Objective (Further study material)
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PPT Notes for this section
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Actual exam questions: Computer Vision
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Take a break
Module 6: Natural Language Processing (NLP) workloads on Azure (15-20%)
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Learning objectives
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What is Natural Language Processing
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Key Phrase Extraction vs Entity Recognition vs Sentiment Analysis
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Language Modeling
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Speech Recognition and Speech Synthesis
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Translation
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Introduction to Azure Tools and Services for NLP
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[Retired] Text Analytics Service
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Speech Service
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Translator Service
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Language Understanding Service (LUIS)
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Articles and Blogs Per Objective (Further study material)
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PPT Notes for this section
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Actual exam questions: Natural Language Processing
Module 7: Conversational AI workloads on Azure (15-20%)
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Learning objectives
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Conversational AI Use cases
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QnA Maker and Bot Framework
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Demo QnA Maker and Bot Framework
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Articles and Blogs Per Objective (Further study material)
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PPT Notes for this section
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Actual exam questions: Conversation AI
Module 8: Practice Tests
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Notes: Quick Revision
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AI-900 Exam Tips
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AI-900 Exam Practice Test 1
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AI-900 Exam Practice Test 2
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More Practice Questions
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Request