Applied Machine Learning courses can help you learn data preprocessing, model selection, feature engineering, and evaluation metrics. You can build skills in implementing algorithms, optimizing performance, and interpreting results in practical contexts. Many courses introduce tools like Python, TensorFlow, and scikit-learn, that support developing machine learning models and applying AI techniques to solve real-world problems.

Skills you'll gain: Machine Learning Methods, Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Scientific Visualization, Classification Algorithms, Model Training, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Model Deployment, Google Cloud Platform, Model Training, Keras (Neural Network Library), Exploratory Data Analysis, Business Metrics, Data Preprocessing, Data Pipelines, Data Quality, Model Evaluation, Logistic Regression, Applied Machine Learning, Data Cleansing, Machine Learning Methods, Machine Learning, Machine Learning Software, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Snowflake Schema, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, GitHub Copilot, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Retail Banking, Bank Regulations, Customer Analysis, Lending and Underwriting, Loan Origination, Commercial Lending, Banking Services, Banking, Loan Documentation, Consumer Lending, Deposit Accounts, Mortgage Loans, Data-Driven Marketing, Payment Systems, Credit/Debit Card Processing, General Lending, Service Design, Financial Inclusion, Regulatory Compliance, Commercial Banking
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Science, Machine Learning, Prompt Engineering Tools, Model Evaluation, Applied Machine Learning, Data Store, AI Workflows, Apache Spark, Data Strategy, Data Import/Export, Azure Synapse Analytics, Cloud Computing, Fine-tuning, Data Pipelines, Continuous Monitoring, Data Preprocessing, Scalability, Development Environment
Intermediate · Specialization · 1 - 3 Months

Sungkyunkwan University
Skills you'll gain: Portfolio Risk, Regression Analysis, Predictive Analytics, Predictive Modeling, Investment Management, Risk Modeling, Risk Analysis, Investments, Machine Learning Methods, R Programming, Statistical Methods, Machine Learning, Advanced Analytics, Statistical Programming, Statistical Analysis, Financial Analysis, Machine Learning Algorithms, R (Software), Applied Machine Learning, Risk Management
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Data Presentation, Data Analysis, Model Evaluation, Interactive Data Visualization, No-Code Development, Market Data, Business Analytics, Data Science, Model Training, Model Deployment, Model Optimization, Applied Machine Learning, Data Ethics, Dashboard Creation, Machine Learning, Predictive Modeling, Data Visualization
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Matplotlib, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Data Visualization, Plot (Graphics), Regression Analysis, Machine Learning Algorithms, Pandas (Python Package), Predictive Analytics, Statistical Analysis, Scientific Visualization, Machine Learning Software, Machine Learning, Supervised Learning, Data Science, Statistical Methods, Probability & Statistics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Google Cloud Platform, Generative AI, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), AI literacy, Artificial Intelligence, AI Workflows, Cloud Infrastructure, Agentic systems, Applied Machine Learning, Model Training, Model Deployment, Machine Learning, Predictive Modeling, No-Code Development
Beginner · Course · 1 - 3 Months