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.

Rice University
Skills you'll gain: Differentiated Instruction, Diversity Awareness, Web Content Accessibility Guidelines, digital literacy, Instructional Strategies, Culture, Education Software and Technology, Special Education, Cultural Responsiveness, Intercultural Competence, Cultural Diversity, Teaching, Instructing, Curriculum Planning, English Language, Learning Management Systems, Lifelong Learning, Student Engagement, Lesson Planning, Language Learning
Beginner · Specialization · 1 - 3 Months

Università di Napoli Federico II
Skills you'll gain: Spanish Language, Language Learning, Language Competency, Vocabulary, Oral Comprehension, Grammar, Culture
Beginner · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Evaluation, Supervised Learning, Feature Engineering, Transfer Learning, NumPy, Matplotlib, Convolutional Neural Networks, Statistical Methods, Deep Learning, Applied Machine Learning, Data Visualization, Keras (Neural Network Library), Python Programming, Pandas (Python Package), Seaborn, Applied Mathematics, Machine Learning, Machine Learning Algorithms, Tensorflow
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Responsible AI, Data Ethics, Applied Machine Learning, Project Design, AI Enablement, Model Evaluation, Operational Efficiency, Cost Management, Mitigation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis, Data Visualization, Machine Learning
Mixed · Course · 1 - 3 Months

Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, R (Software), Data Modeling, Relational Databases, Stored Procedure, R Programming, Model Deployment, Databases, Data Science, Big Data, Query Languages, GitHub, Data Visualization Software, Data Preprocessing, Data Cleansing, Cloud Computing, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Evaluation, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture
Beginner · Course · 1 - 3 Months

Universidad de los Andes
Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Prompt Patterns, ChatGPT, LLM Application, Ideation, Responsible AI, Artificial Intelligence, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Content Creation, Ethical Standards And Conduct, Complex Problem Solving
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Generative AI, Performance Tuning, Model Evaluation, Cross Platform Development, PyTorch (Machine Learning Library), Cloud Deployment, Applied Machine Learning, Application Performance Management, Development Environment, Hardware Architecture
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Embeddings, Applied Machine Learning, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, PyTorch (Machine Learning Library), Vision Transformer (ViT), Image Analysis, Performance Tuning
Intermediate · Course · 1 - 4 Weeks