Machine learning courses and concepts
Machine learning is the branch of AI in which a system learns to do a task by finding patterns in examples, rather than being programmed with a rule for every case. The models behind generative AI tools and AI agents are built with machine learning, and it remains a field in its own right wherever the job is prediction, classification or ranking. Learning it covers the algorithms and the work around them: choosing the data a model is trained on, and testing whether its results are any good.
Machine learning courses
Learn AI — the ideas, without building anything
Elements of AI: Introduction to AI
University of Helsinki & MinnaLearn
Exploring Artificial Intelligence Use Cases and Applications
AWS Skill Builder
Fundamentals of Generative AI
AWS Skill Builder
Fundamentals of Machine Learning and Artificial Intelligence
AWS Skill Builder
Introduction to Machine Learning: Art of the Possible
AWS Skill Builder
Machine Learning Terminology and Process
AWS Skill Builder
Use AI — apply it in your work
AI Applications in Accounting
Learnsignal
AI for Financial Reporting and Compliance
Learnsignal
AI for Taxation and Regulatory Compliance
Learnsignal
AI Tools for Accountants
Learnsignal
Artificial Intelligence for HR Professionals
HRCI (HR Certification Institute)
Artificial Intelligence in Accounting and Auditing
Learnsignal
Automating Routine Accounting Tasks with AI
Learnsignal
Core Concepts of Artificial Intelligence for Accounting Professionals
AICPA & CIMA
Developing Machine Learning Solutions
AWS Skill Builder
Getting Started with Amazon Personalize
AWS Skill Builder
Improving Financial Decision-Making with AI-Powered Analytics
Learnsignal
Introduction to Machine Learning for Accountants
Learnsignal
No-code Machine Learning and Generative AI on AWS
AWS Skill Builder
Planning a Machine Learning Project
AWS Skill Builder
Reducing Financial Fraud with AI and Data Analytics
Learnsignal
The impact of AI and machine learning in auditing
CPA Canada
Develop AI — build, train and run models
Advanced Machine Learning Operations
Databricks
Amazon SageMaker AI Getting Started
AWS Skill Builder
Create machine learning models
Microsoft Learn
Data Preparation for Machine Learning
Databricks
Elements of AI: Building AI
University of Helsinki & MinnaLearn
Introduction to Amazon SageMaker Notebooks
AWS Skill Builder
Machine Learning at Scale
Databricks
Machine Learning Model Deployment
Databricks
Machine Learning Model Development
Databricks
Operationalize machine learning models (MLOps)
Microsoft Learn
Professional Machine Learning Engineer Certification
Google Skills
Machine learning terms explained
Several of these terms measure how good a model is: accuracy, precision and recall, the F1 score, and the confusion matrix, which sets a model's right and wrong predictions side by side. They are also how you judge a figure somebody else reports, because a model with high accuracy can still be useless — one that always predicts the common outcome scores well while missing every rare case it was built to find.
Machine learning underlies most of the rest of AI. Learn AI explains it alongside the newer kinds of AI built with it, such as generative AI and AI agents; Use AI covers applying models and services without training anything yourself; Develop AI is the hands-on route — building, evaluating and running models in production.