Microsoft Azure AI Fundamentals AI-900

🤖 Microsoft Azure AI Fundamentals AI-900

Course Description: This course is designed for anyone who wants to learn about artificial intelligence (AI) and machine learning (ML).

This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. It is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course offers a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform. Hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in class and to explore topics in more depth.

The course provides a practical, hands-on approach in which you will get a chance to see AI in action and try Azure AI services for yourself.

• Describe Artificial Intelligence workloads and considerations.
• Describe fundamental principles of machine learning on Azure.
• Describe features of computer vision workloads on Azure.
• Describe features of Natural Language Processing (NLP) workloads on Azure.
• Describe features of conversational AI workloads on Azure.

Audience Profile: The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need prior experience with Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so knowledge of fundamental programming principles will be helpful.

Prerequisites:

• Knowledge of Azure is beneficial.
• Basic knowledge of Python.

Participant Targets: All individuals who need to understand the Azure offering for ML and AI.

Training Content:

Section 1: Introduction

• Session 1: Introduction

Section 2: MACHINE LEARNING PRESENTATION

• Session 2: What is Machine Learning?
• Session 3: Risks and Challenges
• Session 4: Why Machine Learning?
• Session 5: The Models

Section 3: AZURE MACHINE LEARNING

• Session 6: Azure Machine Learning Overview
• Sessions 7-12: LAB Cycle Prediction (Parts 1-4) and Car Price Prediction (Parts 1-2)

Section 4: COMPUTER VISION

• Session 13: What is Computer Vision?
• Sessions 14-16: LAB Computer Vision (Parts 1-3)

Section 5: NATURAL LANGUAGE PROCESSING (NLP)

• Session 17: What is NLP?
• Sessions 18-19: LAB NLP and LAB LUIS

Section 6: CONVERSATION AI

• Session 20: What is Conversational AI?
• Sessions 21-23: LAB Create a BOT (Parts 1-3)