Microsoft Azure AI Fundamentals (AI-900) Exam Prep NEW 2024

Microsoft Azure AI Fundamentals (AI-900) Certification Course

Welcome to the Microsoft Azure AI Fundamentals (AI-900) certification course on Udemy! This engaging and comprehensive course is designed to introduce learners to the exciting world of Artificial Intelligence (AI) within the Azure cloud platform. Whether you are just starting your journey in AI or looking to solidify your understanding of AI concepts and Azure's AI services, this course is the perfect starting point.

Course Overview

Throughout this course, you will explore a variety of AI workloads, including content moderation, personalization, computer vision, natural language processing (NLP), knowledge mining, document intelligence, and generative AI. You will also delve into the ethical and responsible use of AI, covering principles such as fairness, reliability, safety, privacy, inclusiveness, transparency, and accountability in AI solutions. Additionally, this course will provide you with a solid foundation in machine learning, including common techniques and Azure Machine Learning capabilities.

Module Breakdown

Describe Artificial Intelligence Workloads and Considerations (15–20%)

- Overview of common AI workloads and their features.

- Exploration of specific AI applications like content moderation, personalization, computer vision, NLP, knowledge mining, document intelligence, and generative AI.

- Discussion on the guiding principles for responsible AI and considerations for designing ethical AI solutions.

Describe Fundamental Principles of Machine Learning on Azure (20–25%)

- Identification of common machine learning techniques and scenarios, including regression, classification, and clustering.

- Core machine learning concepts, such as features, labels, training, and validation datasets.

- Overview of Azure Machine Learning capabilities, including Automated Machine Learning, data and compute services, and model management.

Describe Features of Computer Vision Workloads on Azure (15–20%)

- Common types of computer vision solutions, including image classification, object detection, optical character recognition, and facial detection.

- Azure tools and services for computer vision, such as Azure AI Vision, Azure AI Face detection, and Azure AI Video Indexer services.

Describe Features of Natural Language Processing (NLP) Workloads on Azure (15–20%)

- Features of common NLP workloads, including key phrase extraction, entity recognition, sentiment analysis, language modeling, speech recognition, and translation.

- Azure tools and services for NLP tasks, including Azure AI Language, Azure AI Speech, and Azure AI Translator services.

Describe Features of Generative AI Workloads on Azure (15–20%)

- Introduction to generative AI solutions and models.

- Common scenarios for generative AI and responsible AI considerations.

- Capabilities of Azure OpenAI Service, including natural language generation, code generation, and image generation.

Course Features

- Learn from experienced professionals with deep knowledge of AI and Azure.

- Gain practical experience with AI projects in a live Azure environment.

- Test your knowledge and apply what you have learned.

- Access course materials anytime, anywhere, with lifetime access.

- This course is specifically designed to prepare you for the Microsoft Azure AI Fundamentals (AI-900) exam, with comprehensive coverage of the exam objectives.

Who Should Enroll?

- Individuals new to AI who want to understand AI workloads and considerations.

- IT professionals looking to enhance their skills in AI and machine learning.

- Anyone preparing for the Microsoft Azure AI Fundamentals (AI-900) certification exam.