
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making
Advanced · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: AI Orchestration, AI Workflows, LLM Application, Agentic systems, Tool Calling, LangChain, Artificial Intelligence, Prompt Engineering, Model Evaluation, Context Management, Scenario Testing, Performance Testing, Development Testing, Debugging
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning
Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: Financial Modeling, Financial Forecasting, Financial Statements, Depreciation, Balance Sheet, Capital Budgeting, Financial Analysis, Excel Formulas, Income Statement, Microsoft Excel, Risk Analysis, Data Storytelling, Data Validation, Cash Flows, Data Presentation, Return On Investment, Pivot Tables And Charts
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Prompt Engineering, Continuous Deployment, Generative AI, System Monitoring, CI/CD, Responsible AI, Automation, DevOps, Compliance Management, Performance Tuning, Data Pipelines, Kubernetes, Docker (Software), Containerization, Data Security, Risk Management, Dashboard, Cloud Platforms
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, Neurology, R Programming, Data Processing, Scientific Visualization, Data Preprocessing, Data Transformation, Data Import/Export
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Responsible AI, Artificial Intelligence, Machine Learning, Prompt Engineering, Amazon Web Services, Model Deployment, Supervised Learning, Computer Vision, Image Analysis, Model Evaluation, Unsupervised Learning, Data Preprocessing, Natural Language Processing, Deep Learning, Reinforcement Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis Expressions (DAX), Customer Insights, Power BI, Dashboard, Data Modeling, Data Transformation, Data Import/Export, Interactive Data Visualization, Business Intelligence, Time Series Analysis and Forecasting, Data Visualization Software, Data Cleansing, Trend Analysis
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
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