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: Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Model Training, Model Deployment, AI Workflows, Convolutional Neural Networks, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Performance Tuning, Network Model, Artificial Neural Networks, Technical Communication
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra
★ 4.4 (14) · Intermediate · Course · 1 - 4 Weeks

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

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

University of Colorado Boulder
Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning
★ 4.5 (25) · Intermediate · Course · 1 - 4 Weeks

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

The University of Tokyo
Skills you'll gain: Oral Comprehension, Traffic Flow Optimization, Vocabulary, Public Works, Literacy, Water Quality, Language Learning, Environmental Engineering, Robotics, Display Devices, Grammar, Biochemistry
★ 4.8 (111) · 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

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

University of Colorado Boulder
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Model Training, Model Optimization, Applied Machine Learning, Fine-tuning, Feature Engineering, Machine Learning, Model Evaluation, Classification Algorithms
★ 4.6 (90) · Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Supervised Learning, Model Optimization, Artificial Neural Networks, Convolutional Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, NumPy, Jupyter
★ 4.9 (18) · 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