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Machine Learning and AI [AI-900]

person icon Fabrice Chrzanowski

4.5

Machine Learning and AI [AI-900]

This training introduces fundamental concepts related to artificial intelligence (AI) as well as Microsoft Azure services that can be used to create artificial intelligence solutions.

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Fabrice Chrzanowski

category icon IT and Software ,Cloud Computing,

Lectures -23

Duration -3.5 hours

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4.5

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Course Description

Azure AI Fundamentals (AI-900) Course

Get started with artificial intelligence using our complete course on Azure AI Fundamentals (AI-900) exclusively at fluctuationit.com. Are you a new AI learner or an IT professional interested in exploring your expertise further? This course will guide you to master the essentials with practical knowledge in this constantly evolving AI world.

Course Description

Explore the world of artificial intelligence and how Azure's strong AI services can revolutionize your projects and organizations. This course covers the fundamental concepts and practical applications of AI to ensure that you get a solid grasp of the theory and practice in machine learning and AI workloads on Azure.

What You Will Learn

Workloads and Considerations Regarding Artificial Intelligence

Get insights into the different AI workloads and critical factors while deploying AI solutions. Identify potential use cases and assess AI influence on your business workflows.
Basics of Machine Learning on Azure

Study the basic concepts of machine learning including data pre-processing, model training, and evaluation. Explore various services and tools offered on Azure Machine Learning to aid building, deploying, and managing machine learning models.
Functionality of Computer Vision Workloads in Azure

Learn how you can take advantage of Azure's computer vision capabilities. Discover image recognition, object detection, and image classification and understand how to connect these functions in your own applications.
Functionality of Natural Language Processing (NLP) Workloads on Azure

Explore the world of NLP services on Azure regarding text analytics, the language understanding service, as well as translation services-all allowing your application to understand human language and interact with the human language in a significant way.
Azure Features for Conversational AI Workloads

Discover and learn on how to develop intelligent agents through conversational AI workloads from Azure. Find out how you can develop such chatbots, virtual assistants, and what their functionality is in relation to your humans, be it service support or assisting a client in having a richer interaction.
Why this course?

Expert Instruction
Learn from industry veterans having years of experience in the field of AI and Azure technologies.
Hands-on learning
Practice with hands-on exercises and real-world projects to apply your knowledge in practical scenarios and build up your confidence.
Comprehensive Curriculum
All the vital topics required to master Microsoft Azure AI Fundamentals have been covered and prepare a person for the AI-900 certification exam.
Community Support
Join over 2000 learners in the same community and enjoy continuous support and networking opportunities.
Pre-requisites

To get the best out of this course, you should have:

A basic understanding of cloud computing:

Familiarity with cloud concepts and Azure services will be very helpful.

Foundational knowledge in data and analytics:

General understanding of data handling and analytics processes.

Ready to learn:

Enthusiasm to explore and implement AI solutions using Azure's robust platform. Enroll today and transform your AI skills!

Don't miss the career advancement opportunities with the cutting-edge knowledge of AI. Join this Azure AI Fundamentals course today and step into a world of becoming an AI-savvy professional.

Want to connect, need support, or questions? Grab me on email anytime and I'll respond to each one.

Cheers,
Learn Different

Goals

At the end of this course, you will be able to understand AI workloads and the key considerations as follows.

Understand various artificial intelligence workloads and evaluate critical factors for effective AI implementation within your organization.
Understand the core principles of machine learning that include preparing data, training models, and evaluation through Azure machine learning services and tools
Harness computer vision capabilities on Azure

Leverage computer vision capabilities on Azure to understand and interpret visual data like image recognition, object detection, and image classification and bring these capabilities into your applications.
Apply Natural Language Processing Techniques on Azure

Explore the NLP services of Azure to apply text analytics, language understanding, and translation to allow your applications to understand and communicate with human language in a very effective way.
Develop Conversational AI Solutions on Azure

Leverage conversational AI in Azure to design intelligent conversational agents through building chatbots and virtual assistants to engage, support, and enhance customers.

Prerequisites

No prerequisites

f you know the Pyhton language it is a little more but not necessary 



Machine Learning and AI [AI-900]

Curriculum

Check out the detailed breakdown of what’s inside the course

PRESENTATION

1 Lectures
  • play icon INTRO US IA 02:38 02:38

WHAT IS MACHINE LEARNING

4 Lectures
Tutorialspoint

AZURE MACHINE LEARNING

7 Lectures
Tutorialspoint

COMPUTER VISION

4 Lectures
Tutorialspoint

NATURAL LANGUAGE PROCESSING (NLP)

3 Lectures
Tutorialspoint

CONVERSTION AI

4 Lectures
Tutorialspoint

Instructor Details

fabrice chrzanowski

fabrice chrzanowski

Hello Everyone

My name is Fabrice I currently live in Malta

For over 25 years, I have been an expert in system administration and multi-cloud (Google, Aws and Azure). I am passionate about my job. I like to share my knowledge in IT.

I wish you all excellent health and great classes.

 

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