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.

Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Amazon Elastic Compute Cloud, Transfer Learning, Cloud Deployment, Model Training, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Fine-tuning, Model Deployment, Application Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms
★ 5 (22) · Beginner · Specialization · 1 - 3 Months

Macquarie University
Skills you'll gain: Infographics, Canva (Software), Podcasting, Video Production, Instructional Design, Multimedia, Content Creation, Lesson Planning, Pedagogy, Interactive Learning, Adult Learning Principles, Presentations, Visual Storytelling, Graphic Design, Teaching, Driving engagement, Instructional Strategies, Digital pedagogy, Virtual Environment, AI literacy
★ 4.8 (435) · Beginner · Specialization · 3 - 6 Months

★ 5 (12) · Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning
★ 4.6 (21) · Intermediate · Guided Project · Less Than 2 Hours

The University of Edinburgh
Skills you'll gain: Systems Thinking, Sustainable Systems, Sustainable Development, Environmental Issue, Education and Training, Teaching, Socioeconomics, Social Impact, Pedagogy, Action Oriented, Climate Change Mitigation
Beginner · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting
★ 4.4 (1K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Optimization, Model Training, Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning Algorithms
Intermediate · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Systems Development, Solution Architecture, Machine Learning Methods, Model Training, Model Evaluation, Agentic systems, Artificial Neural Networks, Machine Learning, Model Optimization, Machine Learning Algorithms, Markov Model, Feature Engineering, Algorithms, Performance Tuning
★ 4.7 (653) · Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, Development Testing, Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming, Software Design
Intermediate · Course · 1 - 4 Weeks

Whizlabs
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Optimization, Model Evaluation, Scikit Learn (Machine Learning Library), Regression Analysis, Fine-tuning, Applied Machine Learning, Machine Learning, Data Analysis
★ 4.9 (8) · Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Computational Thinking, Systems Design, Software Architecture, Data Processing, Process Modeling, Code Reusability, Solution Design, Diagram Design, Process Mapping, Data Pipelines
Intermediate · Course · 1 - 4 Weeks