Start your journey into model training with foundational concepts and hands-on exercises designed for newcomers.
Start now · step 1 of 15
Basic algebra and statistics helpful but not required
Any programming experience; Python preferred
Google’s AI Course for Beginners (in 10 minutes)!
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
BeginnerOpenCV Python Tutorial #1 - Introduction & Images
BeginnerOpenCV Python Tutorial For Beginners 24 - Motion Detection and Tracking Using Opencv Contours
BeginnerWhat is OpenCV? - Python Beginners Tutorial #1
BeginnerCS50s Introduction to Programming with Python
BeginnerMachine Learning - StatQuest
BeginnerAI Ecommerce Course & Training: Learn AI in Ecommerce
IntermediateHow to train your first machine learning model and run it inside your iOS app via CoreML
IntermediateDebugging and Improving Machine Learning Models
IntermediateArtificial Intelligence and Machine Learning in Insurance Operations Training Course
IntermediateNPTEL - Introduction to Machine Learning: Support Vector Machines
IntermediateMachine Learning and AI Foundations: Causal Inference and Modeling
IntermediatePreparing Data for Feature Engineering and Machine Learning
IntermediateGoogle’s AI Course for Beginners (in 10 minutes)!
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
BeginnerOpenCV Python Tutorial #1 - Introduction & Images
BeginnerOpenCV Python Tutorial For Beginners 24 - Motion Detection and Tracking Using Opencv Contours
BeginnerWhat is OpenCV? - Python Beginners Tutorial #1
BeginnerCS50s Introduction to Programming with Python
BeginnerMachine Learning - StatQuest
BeginnerAI Ecommerce Course & Training: Learn AI in Ecommerce
IntermediateHow to train your first machine learning model and run it inside your iOS app via CoreML
IntermediateDebugging and Improving Machine Learning Models
IntermediateArtificial Intelligence and Machine Learning in Insurance Operations Training Course
IntermediateNPTEL - Introduction to Machine Learning: Support Vector Machines
IntermediateMachine Learning and AI Foundations: Causal Inference and Modeling
IntermediatePreparing Data for Feature Engineering and Machine 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 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
OpenCV Python Tutorial 1 - Introduction & Images
OpenCV Python Tutorial For Beginners 24 - Motion Detection and Tracking Using OpenCV Contours
What is OpenCV? - Python Beginners Tutorial 1
CS50s Introduction to Programming with Python
Clear and simple explanations of machine learning algorithms. Understand the math and intuition behind ML with Josh Starmer.
An online course focusing on the application of AI in e-commerce. It includes an in-depth analysis of AI case studies in e-commerce to provide practical insights.
A guide for developers on how to train a machine learning model and deploy it on-device in an iOS app using Core ML. The tutorial covers the entire process from data collection to model execution in Xcode.
A specific course within Cornell's Machine Learning Certificate program that focuses on investigating the prediction accuracy of machine learning algorithms. You will learn to recognize high bias and variance to reduce prediction errors and implement techniques like bagging and boosting to create more reliable models.
This course explores the transformative role of AI and Machine Learning in modern insurance operations, including underwriting, claims processing, fraud detection, customer engagement, and risk assessment.
A comprehensive course on machine learning from NPTEL that includes modules on Support Vector Machines and Kernel Methods. The course is available for free online.
Learn about the modeling techniques and experimental designs that allow you to establish causal inference, and gain insights into causal inference from observational studies.
This course covers various feature engineering techniques to get the best results from a machine learning model, including feature selection (filter, wrapper, and embedded methods) and feature extraction from image and text data.
Explore related content to expand your skills beyond this learning path.
Explore all Machine Learning courses and paths
More beginner-level AI and ML courses
Browse courses from Coursera, Udemy, edX, and more
Browse all structured AI and ML learning paths
See the side-by-side breakdown and our pick by scenario
See the side-by-side breakdown and our pick by scenario
Start your journey into model training with foundational concepts and hands-on exercises designed for newcomers.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Build and train machine learning models from scratch; Understand supervised, unsupervised, and reinforcement learning paradigms; Evaluate model performance using industry-standard metrics.
About 61 hours of study across 15 courses — and you can go at your own pace.
It's pitched at beginner level — a solid starting point if you're new to the topic.
15 curated courses, sequenced from foundational to advanced.
Around $49 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.