
University of California San Diego
Skills you'll gain: Unit Testing, Data Structures, Java, JUnit, Performance Tuning, Debugging, Algorithms, Object Oriented Programming (OOP), Theoretical Computer Science, Unstructured Data
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Autoencoders, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Data Analysis, Statistical Methods, Data Preprocessing, Machine Learning, Data Science, Python Programming
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Alex Genadinik
Skills you'll gain: Vibe coding, Generative AI Agents, AI Workflows, Agentic systems, Email Automation, AI Orchestration, Search Engine Optimization, Inside Sales, Web Analytics, Prompt Engineering, Development Environment, Application Deployment, Front-End Web Development, Debugging
Mixed · Course · 1 - 3 Months

Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming
Beginner · Course · 1 - 3 Months

Alex Genadinik
Skills you'll gain: Generative AI Agents, Blogs, Search Engine Optimization, Email Automation, Sales Strategy, Advertising, Marketing Channel, Inside Sales, AI Orchestration, Online Advertising, Marketing, Performance marketing, Product Promotion, Content Marketing, Marketing Strategies, AI Workflows, Entrepreneurship, Web Analytics, New Business Development, Agentic systems
Beginner · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Blockchain, Emerging Technologies, FinTech, Market Dynamics, Digital Assets, Cryptography, Technical Analysis, Business Solutions, Business Analysis, Payment Systems, Algorithms, Distributed Computing
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Hugging Face, Natural Language Processing, Artificial Neural Networks, Tensorflow, Embeddings, Supervised Learning, Keras (Neural Network Library), Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, PyTorch (Machine Learning Library), Data Preprocessing
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Alex Genadinik
Skills you'll gain: Keyword Research, Search Engine Optimization, Web Analytics and SEO, Blogs, Competitive Analysis, Quality Assessment, Relationship Building, Content Strategy, Content Creation
Mixed · Course · 1 - 3 Months
Multiple educators
Skills you'll gain: Unit Testing, Data Structures, Event-Driven Programming, File I/O, Interactive Data Visualization, Java, Java Programming, User Interface (UI), Object Oriented Programming (OOP), JUnit, Debugging, Object Oriented Design, Computer Programming, Cryptography, Software Engineering, Performance Tuning, Algorithms, Data Analysis, Software Design, Problem Solving
Beginner · Specialization · 3 - 6 Months

Stanford University
Skills you'll gain: Game Theory, Mathematical Modeling, Graph Theory, Bayesian Statistics, Behavioral Economics, Probability, Economics, Problem Solving, Algorithms, Probability Distribution
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)
Intermediate · Specialization · 3 - 6 Months