Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

University of London
Skills you'll gain: Literacy, English Language, Language Learning, Vocabulary, Grammar, Student-Centred Learning
Intermediate · Course · 1 - 3 Months

Pontificia Universidad Católica de Chile
Skills you'll gain: File I/O, Python Programming, Data Structures, Programming Principles, Computer Programming, Program Development, Algorithms
Beginner · Course · 1 - 3 Months

Korea Advanced Institute of Science and Technology(KAIST)
Skills you'll gain: electromagnetics, Electrical Engineering, Electrical Systems, Materials science, Physics, Applied Mathematics, Differential Equations
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Patterns, AI Enablement, AI Personalization, LLM Application, Ideation, Solution Design
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, Multimodal Prompts, Embeddings, Large Language Modeling, Generative AI, Vector Databases, Image Analysis, Applied Machine Learning
Intermediate · Project · Less Than 2 Hours

University of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Computational Thinking, Encryption, Probability Distribution, Network Analysis, Public Key Cryptography Standards (PKCS), Theoretical Computer Science, Bayesian Statistics, Python Programming, Data Structures, Cybersecurity, Algorithms, Arithmetic, Visualization (Computer Graphics)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Storytelling, Process Mapping, Process Analysis, Business Analysis, Data Presentation, Business Process Improvement, Interactive Data Visualization, Feasibility Studies, Data Visualization, Systems Analysis, Stakeholder Analysis, Process Optimization, Requirements Management, Systems Design, Stakeholder Engagement, Information Technology, Release Management, Business Process Modeling, Database Management, Agile Methodology
Beginner · Professional Certificate · 3 - 6 Months

Tecnológico de Monterrey
Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Graphing, Digital pedagogy, Trigonometry, Mathematical Modeling, Mathematical Theory & Analysis, Algebra, Computational Thinking, Applied Mathematics, Derivatives
Mixed · Course · 3 - 6 Months

28DIGITAL
Skills you'll gain: Cybersecurity, Network Security, Information Systems Security, Cyber Threat Intelligence, Deep Learning, Applied Machine Learning, Responsible AI, Intrusion Detection and Prevention, Fraud detection, Malware Protection, Natural Language Processing, Artificial Intelligence, Anomaly Detection, Machine Learning, Classification Algorithms, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks
University of Toronto
Skills you'll gain: Programming Principles, Debugging, File I/O, Software Documentation, Python Programming, Computer Programming, Program Development, Integrated Development Environments, Algorithms, Data Structures, Development Environment
Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Science, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Quantitative Research, Machine Learning, Model Evaluation, Logistic Regression, Feature Engineering
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Alberta Machine Intelligence Institute
Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Image Analysis, Embeddings, Autoencoders, Convolutional Neural Networks, Computer Vision, Responsible AI, Music, Recurrent Neural Networks (RNNs)
Mixed · Course · 1 - 4 Weeks