
IBM
Skills you'll gain: Prompt Engineering, Prompt Patterns, Retrieval-Augmented Generation, Software Development Life Cycle, Large Language Modeling, LLM Application, Software Architecture, Professional Networking, Responsible AI, Computer Vision, Vibe coding, Cascading Style Sheets (CSS), Software Design, Generative AI, Jupyter, IBM Cloud, Flask (Web Framework), Python Programming, Machine Learning, Data Science
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Evaluation, Data Preprocessing, Convolutional Neural Networks, Image Analysis, Diagnostic Radiology, Predictive Modeling, Risk Modeling, Statistical Machine Learning, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Machine Learning Methods, Deep Learning, Natural Language Processing, Medical Science and Research, Machine Learning, Magnetic Resonance Imaging, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Threat Modeling, Threat Management, Vulnerability Management, Cyber Threat Intelligence, Cybersecurity, Cyber Attacks, Vulnerability Assessments, Threat Detection, MITRE ATT&CK Framework, Data Security, Cyber Risk, NIST 800-53, Authorization (Computing), Authentications, Security Strategy, Security Controls, Risk Management Framework, Identity and Access Management, Encryption, Cryptography
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Quantitative Research, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, R Programming, Verification And Validation, Technical Communication, Software Documentation
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Vision Transformer (ViT), Large Language Modeling, Embeddings, Network Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: LangGraph, AI Orchestration, Model Deployment, Retrieval-Augmented Generation, AI Workflows, Generative AI Agents, CrewAI, Agentic Workflows, LangChain, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Agentic systems, OpenAI, Systems Integration, Tool Calling, Google Gemini, Workflow Management, Automation, Prompt Engineering, Responsible AI
Intermediate · Specialization · 1 - 3 Months
University of Michigan
Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Sports Medicine, Correlation Analysis, Data Preprocessing, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, Data Analysis, Statistical Analysis, Python Programming
Intermediate · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Classification Algorithms, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Regression Analysis, Computational Thinking
Advanced · Specialization · 3 - 6 Months

University of Washington
Skills you'll gain: Unsupervised Learning, Bayesian Statistics, Applied Machine Learning, Data Mining, Statistical Machine Learning, Statistical Inference, Text Mining, Statistical Modeling, Machine Learning Algorithms, Unstructured Data, Machine Learning, Scalability, Data Structures, Distributed Computing, Probability Distribution, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, PyTorch (Machine Learning Library), Generative Model Architectures, Generative AI, Natural Language Processing, AI Workflows, Hugging Face, Vector Databases, Transfer Learning, Embeddings, Text Mining, Model Evaluation, Model Deployment, Data Preprocessing, Recurrent Neural Networks (RNNs), Deep Learning, Reinforcement Learning
Intermediate · Specialization · 3 - 6 Months
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis
Advanced · Course · 1 - 3 Months