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.

Imperial College London
Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sales, Sales Strategy, Sales Training, Sales Enablement, Marketing Automation, Sales Management, Sales Pipelines, Selling Techniques, Social Media Marketing, Social Media, Target Audience, Lead Generation, Social Media Campaigns, Customer Relationship Management (CRM) Software, Persona Development, Storytelling, Global Marketing, Trend Analysis, Competitive Intelligence, Benchmarking
Beginner · Specialization · 1 - 3 Months

University of California San Diego
Skills you'll gain: Event-Driven Programming, Interactive Data Visualization, Java, Java Programming, Object Oriented Programming (OOP), User Interface (UI), Object Oriented Design, Computer Programming, Algorithms, Software Engineering, Data Structures, Programming Principles, Software Documentation, Development Environment, Debugging
Intermediate · Course · 1 - 3 Months

SkillsBooster Academy
Skills you'll gain: Prompt Engineering, Prompt Patterns, Responsible AI, Productivity, AI Workflows, Generative AI, Artificial Intelligence, AI Security, AI Personalization, Creative Problem-Solving, Artificial Intelligence and Machine Learning (AI/ML), Innovation, Critical Thinking and Problem Solving, Complex Problem Solving, Automation, Critical Thinking, digital literacy, Digital Assets, Information Technology, Natural Language Processing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Meeting Facilitation, Performance Metric, Collaborative Software, Team Building, Project Management Software, Project Coordination, Internal Communications, Performance Measurement, Performance Analysis, Data Visualization, Communication Strategies, Consultative Approaches, Stakeholder Communications, Process Development, Key Performance Indicators (KPIs), Data-Driven Decision-Making, Communication, User Feedback, Business Communication, Organizational Change
Beginner · Course · 1 - 3 Months

Skills you'll gain: Test Planning, Software Testing, Debugging, Test Case, Issue Tracking, Functional Testing, Unit Testing, Software Quality Assurance, System Testing, Test Tools, Acceptance Testing, Integration Testing, Test Driven Development (TDD), Test Automation, Regression Testing, Quality Assurance, Waterfall Methodology, Agile Methodology, Python Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Selenium (Software), Test Automation, Behavior-Driven Development, Gherkin (Scripting Language), Software Testing, Unit Testing, Test Script Development, Regression Testing, Test Case, Continuous Integration, Automation, Software Design Patterns, Web Development Tools, Maintainability, Python Programming, UI Components
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Threat Modeling, Data Visualization, AI Security, A/B Testing, Open Web Application Security Project (OWASP), Secure Coding, DevSecOps, Application Security, System Monitoring, MLOps (Machine Learning Operations), Analytics, Data Governance, API Gateway, Cyber Governance, Data Cleansing, Data Processing, Data Management, Data Quality, Data Validation, Jupyter
Intermediate · Course · 1 - 3 Months

Skills you'll gain: AI Workflows, Artificial Neural Networks
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Risk Analysis, Financial Regulation, Bank Regulations, Operational Analysis, Securities Trading
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings
Intermediate · Specialization · 3 - 6 Months

Pragmatic AI Labs
Skills you'll gain: Databricks, Data Lakes, Data Engineering, Data Wrangling, Apache Spark, Data Access, Data Processing, Data Warehousing, Data Architecture, Data Management, Data Synthesis, Data Science, Data Mining, Data Integrity, Data Modeling, Data Presentation, Data Entry, Data Storage, SQL, Python Programming
Beginner · Course · 1 - 4 Weeks