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AI Fundamentals

Course

This course is an entry point into the world of AI using Microsoft's cloud-based solutions, such as Azure Machine Learning and Azure Cognitive Services. You will have the chance to learn and experience firsthand how to train and deliver machine learning models and use Azure Cognitive Services for typical AI workloads such as Computer Vision, Natural Language Processing, and Conversational AI.

This course is an entry point into the world of AI using Microsoft's cloud-based solutions, such as Azure Machine Learning and Azure Cognitive Services. You will have the chance to learn and experience firsthand how to train and deliver machine learning models and use Azure Cognitive Services for typical AI workloads such as Computer Vision, Natural Language Processing, and Conversational AI.

Built in collaboration with

Microsoft

Last Updated April 13, 2022

Prerequisites:

No experience required

Course Lessons

Lesson 1

Welcome to the AI Fundamentals Program!

Welcome! We're so glad you're here. Join us in learning a bit more about what to expect and ways to succeed.

Lesson 2

Introduction to AI Fundamentals with Azure

Meet your instructors, get an overview of the course, check out the prerequisites, and get an introduction to the development of AI and ML.

Lesson 3

AI and ML Core Concepts

Review the key terms and concepts related to artificial intelligence and machine learning, including responsible AI and responsible ML.

Lesson 4

Machine Learning

Train and evaluate models using Azure Machine Learning, using its Automated Machine Learning capabilities as well as the Azure Machine Learning designer.

Lesson 5

Computer Vision

Use Azure Cognitive Services to handle key workloads in computer vision: object detection, image classification, face detection, text analysis, and processing forms.

Lesson 6

Natural Language Processing

Analyze text and speech for intent, and translate text and speech between languages.

Lesson 7

Conversational AI

Create a knowledge base in question-and-answer format and create a bot based off of that knowledge base.

Taught By The Best

Photo of Ciprian Jichici

Ciprian Jichici

Chief Data Scientist, Solliance

Photo of Daron Yondem

Daron Yondem

Principal Cloud Solution Architect, Solliance

Photo of Kevin Feasel

Kevin Feasel

CTO, FARE.GAME

Photo of Kyle Bunting

Kyle Bunting

Data Engineer

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

  • Gain proven experience

  • Retain knowledge longer

  • Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

  • Get help from subject matter experts

  • Learn industry best practices

  • Gain valuable insights and improve your skills

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