Clinical research courses can help you learn study design, data collection methods, statistical analysis, and ethical considerations in research. You can build skills in patient recruitment, data management, and interpreting clinical trial results. Many courses introduce tools such as statistical software for data analysis, electronic data capture systems, and project management platforms, that support conducting research efficiently and effectively.

Skills you'll gain: Finite Element Methods, Simulation and Simulation Software, Simulations, Mathematical Modeling, Engineering Analysis, 3D Modeling, Scientific Visualization, Cloud Computing, Structural Analysis
Beginner · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Large Language Modeling, Text Mining
Intermediate · Course · 1 - 4 Weeks

Northwestern University
Skills you'll gain: Robotics, Machine Controls, Mechanics, Torque (Physics), Automation Engineering, Mathematical Modeling, Engineering Analysis, Engineering Calculations, Structural Analysis, Mechanical Design, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Visualization (Computer Graphics), Spatial Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Embeddings, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Fundação Instituto de Administração
Skills you'll gain: Marketing, Customer experience strategy (CX), Marketing Strategy and Techniques, Target Market, Digital Marketing, Customer Insights, Content Strategy, Persona Development, Brand Strategy, Agile Methodology, Storytelling, Consumer Behaviour
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Python Programming, Classification Algorithms, Data Preprocessing, Model Evaluation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Multimodal Prompts, Generative AI, Model Evaluation, Generative Model Architectures, Image Analysis, Embeddings, Transfer Learning, Computer Vision, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Keyword Research, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Online Advertising, Digital Advertising, A/B Testing, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Customer experience improvement
Intermediate · Course · 1 - 4 Weeks

Pearson
Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Gemini, Generative AI, Google Workspace, Productivity Software, Retrieval-Augmented Generation, AI Workflows, Prompt Engineering, Enterprise Security, Research Reports, Content Development and Management
Beginner · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: AI Enablement, Scalability, Strategic Sourcing, Business Transformation, Process Improvement, Organizational Change, Overcoming Objections, Workflow Management, Resource Management, Key Performance Indicators (KPIs), Stakeholder Engagement, Stakeholder Management, Market Opportunities, Customer Success Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)
Mixed · Course · 1 - 4 Weeks