AI Courses & Resources
An InspiredMinds curated list of AI online free courses
We have introduced the InspiredMinds’ curated list of training courses in AI.
Find free online courses on AI, machine learning and data science.
Google’s Machine Learning Crash Course
with TensorFlow APIs
Google’s fast-paced, practical introduction to machine learning features a series of lessons with video lectures, real-world case studies, and hands-on practice exercises. It is a self-study guide for aspiring machine learning practitioners.
30+ exercises | 25 lessons | 15 hours | Real-world case studies.
Getting Started with AI using IBM Watson
IBM via Coursera
Learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. Understand how Watson works and become familiar with its use cases and real life client examples. You will also work with several Watson services to demonstrate AI in action.
This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.Start Course
Microsoft’s business school focused on AI
AI Business School course materials include brief written case studies and guides, videos of lectures, perspectives and talks that busy executives can access in small doses when they have time. A series of short introductory videos provide an overview of the AI technologies driving change across industries, but the bulk of the content focuses on managing the impact of AI on company strategy, culture and responsibility.
Teaching by example | Prepping an AI-ready culture | AI and responsibility
Johns Hopkins University – A crash course in Data Science
This is a focused course designed to rapidly get you up to speed on the field of data science. Their goal is to make this as convenient as possible for you without sacrificing any essential content. They’ve left the technical information aside so that you can focus on managing your team and moving it forward.
Google AI guide to using AI for Social Good
Although not a course in full, this guide is a very handy tool for nonprofits and social enterprises learn how to apply artificial intelligence and machine learning to social, humanitarian and environmental challenges. Never it has been more important to use technology for good, than it is now!
Machine Learning by Stanford
This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. It will also draw from numerous case studies and applications, so that you’ll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.
Machine Learning by Columbia University
Within this course you’ll learn the models and methods and apply them to real world situations ranging from identifying trending news topics, to building recommendation engines, ranking sports teams and plotting the path of movie zombies.
Topics include: classification and regression, clustering methods, sequential models, matrix factorization, topic modeling and model selection.
Fundamentals of Deep Learning for Computer Vision
Nvidia and Nvidia Deep Learning Institute via Independent.
In this hands-on course, you will learn the basics of deep learning by training and deploying neural networks. You will implement common deep learning work flows such as Image Classification and Object Detection; experiment with data, training parameters, network structure, and other strategies to increase performance and capability; deploy your networks to start solving real-world problems.
On completion of this course, you will be able to start solving your own problems with deep learning.