
Coursera
Skills you'll gain: Model Training, Failure Analysis, Deep Learning, AI Workflows, Applied Machine Learning, Data Pipelines, Performance Metric, Scripting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Advanced Analytics, Machine Learning Methods, Random Forest Algorithm, Model Training, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Model Training, Model Deployment, Model Optimization, Data Preprocessing, Performance Analysis, Machine Learning Methods, Data Pipelines, Analysis, Data Transformation, Technical Writing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Performance Metric, Predictive Modeling, Data-Driven Decision-Making, Failure Analysis, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Credit Risk, Lending and Underwriting, Commercial Lending, Financial Statement Analysis, Financial Analysis, Financial Statements, Risk Modeling, General Lending, Loan Origination, Risk Analysis, Cash Flows, Balance Sheet, Risk Management, Working Capital
Beginner · Course · 1 - 3 Months

Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Product Lifecycle Management, Process Design, Process Mapping, Token Optimization, User Requirements Documents, MLOps (Machine Learning Operations), Operational Efficiency, Business Process Automation, Product Management, Large Language Modeling, Model Optimization, Process Driven Development, Cost Containment, Process Optimization, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, Model Optimization, CI/CD, Continuous Deployment, Continuous Delivery, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Verification And Validation, AI Workflows, Business Priorities, Performance Analysis, Strategic Decision-Making
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
Intermediate · Course · 3 - 6 Months

University of California San Diego
Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Predictive Analytics, Verification And Validation, Statistical Modeling, Model Optimization, Applied Machine Learning, Regression Analysis, Supervised Learning, Python Programming, Text Mining, Classification Algorithms, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Model Evaluation, Supervised Learning, Feature Engineering, Model Training, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning, Machine Learning Algorithms, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Performance Tuning
Intermediate · Course · 1 - 4 Weeks
Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Classification Algorithms, Model Deployment, Machine Learning Software, Applied Machine Learning, Machine Learning Algorithms, Java, Software Design Patterns, Data-Driven Decision-Making, Logistic Regression, Business Metrics, Benchmarking, Decision Tree Learning, Matrix Management, Business
Intermediate · Course · 1 - 4 Weeks