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.

Coursera
Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Google Gemini, Gemini, AI Security, Cloud Deployment, Google Cloud Platform, Kubernetes, Big Data, Software Development Life Cycle, Devops Tools, Systems Development Life Cycle, Cloud Development, Cloud Security, Development Testing, Virtual Networking, Application Deployment, Marketing Analytics, DevOps, Generative AI, Application Development, Security Engineering
Intermediate · Specialization · 1 - 3 Months
Coursera
Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, Continuous Deployment, Devops Tools, DevOps, Development Testing, Debugging, Code Coverage, Test Engineering, Data Pipelines
Advanced · Course · 1 - 4 Weeks
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Containerization, Model Optimization, Performance Tuning, Memory Management, Docker (Software), Java, Java Programming, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Regression Testing, Unit Testing, Test Case, System Testing, Test Automation, Software Testing, Integration Testing, Test Planning, Verification And Validation, Data Integrity, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks
University of Glasgow
Skills you'll gain: Model Evaluation, Deep Learning, Descriptive Analytics, Data Ethics, Data Preprocessing, ICD Coding (ICD-9/ICD-10), Federated Learning, Autoencoders, Health Informatics, Medical Records, Data Mining, Medical Coding, Responsible AI, AI Security, Electronic Medical Record, Predictive Modeling, Patient Flow, Predictive Analytics, Medical Privacy, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Regression Testing, Debugging, Unit Testing, Test Case, Code Review, Root Cause Analysis, Data Integrity
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Training, Model Optimization, Model Deployment, Fine-tuning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

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

Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Software Visualization, Dashboard Creation, Grafana, Code Reusability, Performance Metric, Data Pipelines, Performance Analysis, Collaborative Software
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: AI Personalization, Generative AI, AI powered creativity, Education Software and Technology, AI literacy, Instructional Design, AI Integrations, Design Strategies, Content Creation, Emerging Technologies, Professional Development
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping
Intermediate · Course · 1 - 4 Weeks