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.

Coursera
Skills you'll gain: Seaborn, Data Presentation, Data Storytelling, Data Integration, A/B Testing, Data Import/Export, Statistical Hypothesis Testing, Statistical Methods, Data Visualization, Text Mining, Data-Driven Decision-Making, Git (Version Control System), Matplotlib, Pandas (Python Package), Version Control, GitHub, Statistical Analysis, Exploratory Data Analysis, Jupyter, NumPy
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Android Development, User Interface (UI) Design, Animation and Game Design, Mobile Development, Linear Algebra, Computer Graphics
Intermediate · Course · 1 - 3 Months

Alex Genadinik
Skills you'll gain: Revenue Management, Upselling, Market Dynamics, Price Negotiation, Selling Techniques, Customer Retention, Revenue Forecasting, Sales Strategy, Cross Selling, Market Trend, Customer Acquisition Management, Business Modeling, Competitive Analysis, Product Strategy, Customer Insights, Sustainable Business, Growth Strategies
Mixed · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Tenacity, Goal Setting, Overcoming Obstacles, Growth Mindedness, Resilience, Persistence, Smart Goals, Self-Motivation, Personal Development, Constructive Feedback, Willingness To Learn, Patience, Open Mindset, Lifelong Learning, Positivity, Self-Awareness, Emotional Intelligence, Professional Development, Professionalism, Strategic Planning
Beginner · Course · 1 - 3 Months

Coursera
Beginner · Course · 1 - 4 Weeks
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Ansible, Application Deployment, Continuous Deployment, CI/CD, Cloud Deployment, IT Automation, Configuration Management, Infrastructure as Code (IaC), Application Servers, YAML, Cloud Infrastructure, Requirements Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Hypothesis Testing, A/B Testing, Data-Driven Decision-Making, Customer Analysis, Statistical Methods, Market Research, Statistical Analysis, Business Analytics, Probability & Statistics, Statistical Inference, Data Analysis, Descriptive Statistics, Microsoft Excel, Data Analysis Software, Spreadsheet Software
Beginner · Course · 1 - 4 Weeks

Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Google Analytics, Web Analytics, Web Analytics and SEO, Marketing Analytics, Marketing Channel, Case Studies, Data Presentation, Data-Driven Decision-Making, Business Metrics, Stakeholder Communications, Report Writing, Performance Metric
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AI Orchestration, AI Workflows, LangChain, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Generative AI Agents, Responsible AI, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Application Design, Prompt Engineering, Large Language Modeling, Context Management, Software Design Patterns, Software Development, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Integrated Development Environments, Data Flow Diagrams (DFDs)
Beginner · Course · 1 - 4 Weeks