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.

Tsinghua University
Skills you'll gain: Blended Learning, Digital pedagogy, Education Software and Technology, Emerging Technologies, Digital Transformation, Innovation
★ 4.2 (34) · Beginner · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Education Software and Technology, Learning Theory, Instructional Design, Digital pedagogy, Technology Solutions, Disabilities, Technology Strategies, Emerging Technologies
★ 4.5 (197) · Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Recurrent Neural Networks (RNNs), Model Optimization, Convolutional Neural Networks, Transfer Learning, Model Training, Model Evaluation
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

Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Data Transformation, Python Programming
★ 4.5 (710) · Advanced · Course · 1 - 4 Weeks

Politecnico di Milano
Skills you'll gain: Developing Training Materials, Educational Materials, Classroom Management, Course Development, Blended Learning, Teaching, Instructional and Curriculum Design, Interactive Learning, Instructional Design, Instructional Strategies, Innovation, Pedagogy, Knowledge Transfer, Student Engagement, Resource Utilization, Network Planning And Design, Infographics
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Databricks, Data Engineering, PySpark, Data Lakes, Apache Airflow, Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), Data Architecture, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Management, Data Storage, Python Programming, Artificial Intelligence, Machine Learning, SQL, Machine Learning Algorithms, Warehouse Management
Beginner · Specialization · 1 - 3 Months

Illinois Tech
Skills you'll gain: NoSQL, Machine Learning Algorithms, Big Data, Model Evaluation, Apache Hadoop, Recurrent Neural Networks (RNNs), Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Apache Spark, Statistical Methods, Data Presentation, Generative AI, Convolutional Neural Networks, Transfer Learning, Analysis, Data Infrastructure, Machine Learning
★ 4.4 (41) · Intermediate · Specialization · 3 - 6 Months

Special Competitive Studies Project
Skills you'll gain: Large Language Modeling, Responsible AI, LLM Application, AI Integrations, Google Gemini, Data Ethics, Artificial Intelligence, AI Workflows, Gemini, AI literacy, Governance, ChatGPT, Public Administration, Generative AI, Decision Intelligence, Human Machine Interfaces, Ethical Standards And Conduct
Beginner · 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: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Data Processing, Apache Spark, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis, Model Training
★ 4.7 (34) · Intermediate · Guided Project · Less Than 2 Hours

Northeastern University
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Image Analysis, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Deep Learning, Artificial Neural Networks, Autoencoders, Keras (Neural Network Library), Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months