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.

Google Cloud
Skills you'll gain: Generative AI, Google Gemini, Generative AI Agents, Google Cloud Platform, MLOps (Machine Learning Operations), AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, AI literacy, Data Infrastructure, Artificial Intelligence, Large Language Modeling, Model Training, Model Deployment, Applied Machine Learning, Machine Learning Methods, Agentic systems, Model Evaluation, Predictive Modeling, Machine Learning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, MLOps (Machine Learning Operations), Computer Vision, Applied Machine Learning, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning
★ 5 (6) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Evaluation, Model Optimization, Model Deployment, MLOps (Machine Learning Operations), Transfer Learning, Image Quality, Model Training, Image Analysis, Analysis, Computer Vision, Tensorflow, Data Quality, Failure Analysis, Data Pipelines, Deep Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Performance Analysis, Docker (Software), Python Programming
Intermediate · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Graphing, Numerical Analysis, Python Programming, Mathematical Software, Algebra, Derivatives, Model Optimization
★ 4.9 (46) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Data Presentation, Data Analysis, Model Evaluation, Dashboard Creation, Interactive Data Visualization, No-Code Development, Market Data, Business Analytics, Data Science, Analytics, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Machine Learning, Predictive Modeling, Data Visualization
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Video Game Development, Game Design, Project Planning, User Interface (UI) Design, Program Development, User Interface (UI), Python Programming, Development Environment, Programming Principles, Maintainability, Computer Programming
Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Machine Learning Methods, Decision Intelligence, Applied Machine Learning, Machine Learning, AI Enablement, Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Business Planning, Project Planning
★ 4.8 (16) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)
★ 4.7 (417) · Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment
Intermediate · Specialization · 1 - 3 Months

University of London
Skills you'll gain: Cryptography, Cryptographic Protocols, Application Security, Cybersecurity, Data Security, Encryption, Vulnerability Assessments, Information Systems Security, Key Management, Public Key Infrastructure, Mobile Security, Data Integrity
★ 4.6 (77) · Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
★ 3.9 (129) · Intermediate · Specialization · 1 - 3 Months