
Starweaver
Skills you'll gain: Working Capital, Financial Statements, Financial Modeling, Financial Accounting, Financial Analysis, Financial Reporting, Financial Statement Analysis, Income Statement, Business Valuation, Financial Acumen, Accounting, Cash Flows, Bookkeeping, Business Metrics, Generally Accepted Accounting Principles (GAAP), Benchmarking, Return On Investment, Capital Budgeting, Microsoft Excel, Finance
Beginner · Specialization · 1 - 3 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

Duke University
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Performance Analysis, Retrieval-Augmented Generation, Generative Model Architectures, Apache Airflow, Workflow Management, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Financial Modeling, Microsoft Excel, Financial Forecasting, Excel Formulas, Cash Flow Forecasting, Auditing, Business Modeling, Data Modeling, Risk Analysis, Financial Analysis, Spreadsheet Software, Business Analytics, Cash Flows, Business Valuation, Verification And Validation, Quality Assurance
Intermediate · Course · 1 - 4 Weeks

Alex Genadinik
Skills you'll gain: Business Modeling, Business Strategy, Business Planning, Entrepreneurship, Business Process, Innovation, E-Commerce, Business Systems, Value Propositions, Financial Planning, Customer Relationship Management
Mixed · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Generative AI, LangChain, Software Design Patterns, Vector Databases, LLM Application, Embeddings, Prompt Engineering, Large Language Modeling, Model Evaluation, Text Mining, Scalability, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Verification And Validation, Experimentation, Performance Testing, Benchmarking, Performance Analysis, Technical Communication
Intermediate · Course · 1 - 4 Weeks
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

Coursera
Skills you'll gain: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Workflow Management, Verification And Validation, Business Logic, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Performance Tuning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Deployment, Generative AI, AI Workflows, Generative Model Architectures, Development Environment, Image Analysis, Model Evaluation, Performance Tuning, Data Preprocessing
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Deep Learning, Supervised Learning, Transfer Learning, Model Evaluation, Data Structures, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Tensorflow, Keras (Neural Network Library), Machine Learning, Artificial Neural Networks, Performance Tuning, Convolutional Neural Networks, Unsupervised Learning, Programming Principles
Intermediate · Course · 1 - 3 Months