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.

Commonwealth Education Trust
Skills you'll gain: Curriculum Development, Teaching, Education and Training, Instructional and Curriculum Design, Course Development, Instructional Strategies, Pedagogy, Student-Centred Learning, Collaboration, Learning Theory, Planning
Mixed · Course · 1 - 3 Months

Simplilearn
Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Computer Vision, Machine Learning Methods, Natural Language Processing, Scalability, Reinforcement Learning, Performance Tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support, Virtual Environment
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
Advanced · Guided Project · Less Than 2 Hours

The University of Tokyo
Skills you'll gain: Language Competency, Vocabulary, Oral Comprehension, Grammar, Language Learning, Literacy, Engineering Documentation, Science and Research, Materials science
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms
Beginner · Course · 3 - 6 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Data Visualization, NumPy, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Artificial Intelligence, Machine Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Data Processing, Network Architecture, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Creative Thinking, Student-Centred Learning, Analysis, Communication
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Generative AI, Prompt Engineering, Instructional Design, Design Strategies, Content Creation, Creative Design, Emerging Technologies, Professional Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Education Software and Technology, Digital pedagogy
Beginner · Guided Project · Less Than 2 Hours