
University of Washington
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Methods, Probability & Statistics, Classification And Regression Tree (CART), Big Data, Plot (Graphics), Data Analysis, Model Deployment, Statistical Inference, Statistical Machine Learning, Feature Engineering
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Key Performance Indicators (KPIs), Power BI, Dashboard, Data Visualization, Interactive Data Visualization, Data Storytelling, Data Presentation, Business Metrics, Performance Analysis, Data Visualization Software, Data Import/Export, Business Intelligence, Regional Sales, Sales Presentation
Beginner · Guided Project · Less Than 2 Hours

Kennesaw State University
Skills you'll gain: Cyber Governance, Cost Benefit Analysis, Vulnerability Management, Cyber Attacks, Cybersecurity, Risk Management Framework, Cyber Risk, Risk Management, Risk Analysis, Cyber Threat Intelligence, Security Management, Vulnerability Assessments, ISO/IEC 27001, Threat Management, Threat Detection, Threat Modeling, Cyber Security Strategy, Security Awareness, Enterprise Risk Management (ERM), NIST 800-53
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Supervised Learning, Applied Machine Learning, Model Evaluation, Machine Learning Algorithms, Regression Analysis, Machine Learning, Predictive Modeling, Classification Algorithms, Scikit Learn (Machine Learning Library), Data Preprocessing, Feature Engineering, Statistical Methods, Pandas (Python Package)
Intermediate · Course · 1 - 3 Months

Vanderbilt University
Skills you'll gain: Generative AI Agents, Agentic Workflows, AI Orchestration, Workflow Management, AI Enablement, Agentic systems, Artificial Intelligence, Business Process Automation, Generative AI, AI Product Strategy, Automation, AI Personalization, Prompt Engineering, Tool Calling, Emerging Technologies, Responsible AI
Beginner · Course · 1 - 4 Weeks

Wesleyan University
Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Kubernetes, Google Cloud Platform, Load Balancing, Cloud Infrastructure, Google App Engine, Containerization, Identity and Access Management, Cloud Computing Architecture, Application Deployment, Managed Services, Infrastructure As A Service (IaaS), Virtual Networking, Cloud Deployment, Data Storage, Cloud-Native Computing, Cloud Applications, Big Data, Cloud Services, Cloud Computing, Cloud Solutions
Intermediate · Professional Certificate · 3 - 6 Months

AI CERTs
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, Responsible AI, OpenAI, LLM Application, Generative AI, LangChain, Generative AI Agents, ChatGPT, Vibe coding, Natural Language Processing, Artificial Intelligence, AI Personalization, Debugging, Ideation, Productivity, Code Review, Computer Programming Tools, Ethical Standards And Conduct
Beginner · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Autoencoders, Applied Machine Learning, Tensorflow, Transfer Learning, Model Evaluation, Computer Vision, Machine Learning, Supervised Learning, Machine Learning Algorithms, Regression Analysis, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, AI Workflows, Generative Model Architectures, Model Deployment, Hugging Face, Programming Principles, Computer Programming, Transfer Learning, Application Deployment, Context Management, Embeddings, User Interface (UI), Model Evaluation, Vector Databases, Debugging, Software Installation
Intermediate · Specialization · 3 - 6 Months