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: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
Advanced · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Deployment, Tensorflow, Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Data Processing, Machine Learning, Supervised Learning, Data Science
Advanced · Project · Less Than 2 Hours

Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Data Visualization, Data Visualization Software, Grafana, Graphing, Data Analysis, Splunk, Real Time Data, Anomaly Detection, Applied Machine Learning, Time Series Analysis and Forecasting, Query Languages, SQL, Role-Based Access Control (RBAC), Qualitative Research
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, C and C++, Performance Tuning, Convolutional Neural Networks, Data-oriented programming, C++ (Programming Language), Digital Signal Processing, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Numerical Analysis, Programming Principles, Computer Architecture, Program Development, Machine Learning
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Prompt Engineering, Responsible AI, AI Security, Data Ethics, Microsoft Azure, AI Enablement, Artificial Intelligence, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Model Evaluation, Deep Learning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Presentation, Statistics, Data Visualization, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Web Scraping, Data Visualization Software, Python Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Responsible AI, Statistical Modeling, Microsoft Azure, MLOps (Machine Learning Operations), Statistical Methods, Prompt Engineering, Data Science, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Cloud Management, Model Evaluation, Data Management, AI Workflows, Azure Synapse Analytics, Cloud Computing, Data Pipelines, Data Preprocessing, Machine Learning
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

The Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Arithmetic, Computational Logic
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Transfer Learning, Natural Language Processing, Data Preprocessing, Deep Learning, Data Pipelines
Intermediate · Guided Project · Less Than 2 Hours