Start your journey into fairness with foundational concepts and hands-on exercises designed for newcomers.
Varies by topic; basics usually sufficient
Some programming experience helpful
Google’s AI Course for Beginners (in 10 minutes)!
Beginner99% of Beginners Don't Know the Basics of AI
BeginnerHow I'd learn ML in 2025 (if I could start over)
BeginnerNatural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn
BeginnerMachine Learning - StatQuest
BeginnerMachine Learning by Andrew Ng
BeginnerIntroduction to Artificial Intelligence (AI)
BeginnerMachine Learning Crash Course
BeginnerMachine Learning Certificate
IntermediateMachine Learning and AI with Python
IntermediateMachine Learning at Scale
IntermediateMachine Learning
BeginnerLinkedIn AI Academy AI-100: 2 Supervised Learning with Neural Networks
IntermediateLinkedIn Learning: Time Series Analysis with Python
IntermediateMachine Learning & Causal Inference: A Short Course
IntermediateMachine Learning Engineer Nanodegree
AdvancedIntro to Programming: JavaScript
BeginnerMachine Learning (Georgia Tech OMSCS)
AdvancedLearning to Learn [Efficient Learning]
IntermediateGoogle’s AI Course for Beginners (in 10 minutes)!
Beginner99% of Beginners Don't Know the Basics of AI
BeginnerHow I'd learn ML in 2025 (if I could start over)
BeginnerNatural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn
BeginnerMachine Learning - StatQuest
BeginnerMachine Learning by Andrew Ng
BeginnerIntroduction to Artificial Intelligence (AI)
BeginnerMachine Learning Crash Course
BeginnerMachine Learning Certificate
IntermediateMachine Learning and AI with Python
IntermediateMachine Learning at Scale
IntermediateMachine Learning
BeginnerLinkedIn AI Academy AI-100: 2 Supervised Learning with Neural Networks
IntermediateLinkedIn Learning: Time Series Analysis with Python
IntermediateMachine Learning & Causal Inference: A Short Course
IntermediateMachine Learning Engineer Nanodegree
AdvancedIntro to Programming: JavaScript
BeginnerMachine Learning (Georgia Tech OMSCS)
AdvancedLearning to Learn [Efficient Learning]
IntermediateFollow these courses in order to complete the learning path. Click on any course to enroll.
Google’s AI Course for Beginners (in 10 minutes)!
Learn 99% of Beginners Don't Know the Basics of AI
Learn How I'd learn ML in 2025 (if I could start over)
Natural Language Processing In 10 Minutes | NLP Tutorial For Beginners | NLP Training | Simplilearn
Clear and simple explanations of machine learning algorithms. Understand the math and intuition behind ML with Josh Starmer.
The original Stanford ML course taught by Andrew Ng
IBM Introduction to Artificial Intelligence (AI)
Fast-paced introduction to machine learning using TensorFlow. Covers essential ML concepts with hands-on exercises and real-world examples.
This certificate program from Cornell University covers the fundamentals of machine learning. It includes a specific course on 'Debugging and Improving Machine Learning Models' where you will learn to identify causes of prediction error, understand the bias-variance trade-off, and use ensemble methods to improve model performance.
Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.
This course covers the principles required to develop scalable machine learning pipelines, including a section on Recommendation Systems at Scale which discusses graph-networks, link analysis, collaborative filtering, and challenges of sparsity and scalability.
This specialization by Stanford University, taught by Andrew Ng, is a highly popular and comprehensive introduction to machine learning. It covers fundamental concepts including Support Vector Machines (SV Ms) and kernel methods. The course is designed for beginners and provides a strong theoretical and practical foundation.
This course focuses on supervised learning specifically with neural networks, covering deep neural networks, convolutional networks, and sequence classifiers.
A course on Linked In Learning covering the fundamentals of time series analysis using Python, including data preparation, modeling, and forecasting.
A series of video lectures from Stanford University on how machine learning can be used for causal inference, including estimating treatment effects and designing targeted interventions.
This course teaches scientifically proven strategies, techniques, and skills used by top performers to learn more efficiently. It covers topics like memory, focus, and skill acquisition.
Explore related content to expand your skills beyond this learning path.
Enroll in this path to track your progress and stay motivated.