Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: SketchUp (3D Modeling Software), 3D Modeling, Architectural Drawing, Architectural Design, Spatial Analysis, AutoCAD, 3D Assets, Visualization (Computer Graphics), Data Mapping, Design Software, Computer Graphics, Mockups, Layout Design, Computer Graphic Techniques, Graphic and Visual Design, Technical Communication, UI Components, Color Theory, Microsoft Office, Data Import/Export
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability
Intermediate · Course · 1 - 4 Weeks
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, Machine Learning Algorithms
Advanced · Course · 1 - 3 Months

Skills you'll gain: SketchUp (3D Modeling Software), 3D Modeling, Visualization (Computer Graphics), Conceptual Design, AutoCAD, Design Thinking, Architectural Design, Architectural Drawing, Animations, Layout Design, 3D Assets, Virtual Environment, Model Evaluation, Software Installation, Design Software, Spatial Analysis, User Interface (UI)
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), OpenAI, Hugging Face, Large Language Modeling, Prompt Engineering, IBM Cloud, Artificial Neural Networks, Deep Learning, Natural Language Processing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SketchUp (3D Modeling Software), AutoCAD, Architectural Drawing, 3D Modeling, 3D Assets, Visualization (Computer Graphics), UI Components, Data Import/Export
Beginner · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Presentation, Plot (Graphics), Data Visualization Software, Data Visualization, Tableau Software, Spatial Analysis, Visualization (Computer Graphics), Statistical Visualization, Network Model, Dashboard, Matplotlib, Infographics, Heat Maps, Seaborn, Geospatial Information and Technology, Time Series Analysis and Forecasting, Network Analysis, Geospatial Mapping
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis
Intermediate · Specialization · 1 - 3 Months