Master Microsoft Azure AI Fundamentals: Pass the AI-900 Exam

What you will learn:

AI Workloads and Considerations
Machine Learning on Azure
Computer Vision on Azure
Natural Language Processing (NLP) on Azure
Generative AI on Azure
Azure AI Services (Vision, Language, OpenAI)
Responsible AI Principles
AI-900 Exam Preparation
Practical Applications of AI
Azure Machine Learning Capabilities

Description

Ace the AI-900 exam with our in-depth Azure AI Fundamentals course! This comprehensive program covers all aspects of AI on Azure, equipping you with the knowledge and skills to confidently tackle the certification. We delve into core AI concepts, including machine learning techniques, computer vision, natural language processing (NLP), and the exciting world of generative AI.

Dive into practical application: Explore real-world scenarios, learn to identify common AI workloads (content moderation, personalization, knowledge mining, etc.), and master the essential Azure tools and services like Azure AI Vision, Azure AI Language, and Azure OpenAI Service. We emphasize the ethical considerations of responsible AI, including fairness, reliability, privacy, and inclusivity.

This course features:

In-depth explanation of AI workloads and considerations.
Practical exercises on machine learning techniques (regression, classification, clustering, deep learning).
Hands-on experience with computer vision solutions (image classification, object detection, OCR).
Comprehensive exploration of NLP workloads (key phrase extraction, sentiment analysis, translation).
Exploration of the potential of Generative AI and the Azure OpenAI Service.
Four comprehensive practice tests to solidify your understanding and prepare you for exam success.

Unlock your potential in the dynamic field of AI. Enroll today and become a certified Azure AI expert!

Curriculum

Practice Tests

This section provides four comprehensive practice tests to help you solidify your learning and prepare for the AI-900 exam. Each test consists of approximately 60 multiple-choice questions, covering the various topics taught throughout the course. Practice Test 1 includes a range of questions testing your knowledge of AI workloads and considerations. Practice Test 2 focuses on machine learning principles and Azure Machine Learning capabilities. Practice Test 3 delves into computer vision and NLP, while Practice Test 4 challenges you with questions on generative AI and the Azure OpenAI Service. The tests are designed to mimic the real exam environment, allowing you to assess your readiness and identify areas requiring further attention. Detailed explanations are provided for each question to ensure you understand your strengths and weaknesses.