Price

295 € / 7 490 Kč

Duration

1 day

Delivery Methods

VILT / Private Group

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course 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 is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform. The 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 the class and to explore topics in more depth.

Upcoming Class Dates and Times

Start Date Location Delivery Price
Mon 19.08.2024 15:00 CET Prague, Czech Republic VILT G2R English
7,490.00 Kč
Mon 14.10.2024 15:00 CET Prague, Czech Republic VILT G2R English
7,490.00 Kč
Mon 16.12.2024 15:00 CET Prague, Czech Republic VILT G2R English
7,490.00 Kč

Delivery methods

VILT LIVE Virtual Instructor-Led Training (VILT)

TILT Traditional Instructor-Led Training (TILT)

G2R Guaranteed to Run Class

Who Should Attend

AI Engineer, Data Scientist, Developer, Solutions Architect

Prerequisites

Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.

Course Objectives

  • 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

Agenda

  1. Introduction to AI
    • In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.
  2. Machine Learning
    • Machine learning is the foundation for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.
  3. Computer Vision
    • Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services.
  4. Natural Language Processing
    • This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.
  5. Conversational AI
    • Conversational AI enables users to engage in a dialog with an AI agent, or bot, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.