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: Model Training, Benchmarking, Decision Intelligence, Resource Utilization, Cost Estimation, Resource Consumption Accounting, Run Chart, Memory Management, Analysis, Cost Management
Intermediate · 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
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: 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

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Architecture, Model Training, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Data Governance, Machine Learning, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Unsupervised Learning, Automation
Beginner · Specialization · 1 - 3 Months
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

Skills you'll gain: Transfer Learning, Fine-tuning, Tensorflow, Natural Language Processing, Keras (Neural Network Library), Embeddings, Model Training, Deep Learning, Classification Algorithms, Model Evaluation, Machine Learning, Software Visualization
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Databricks, PySpark, Apache Spark, Data Lakes, Data Pipelines, Data Processing, Data Warehousing, Distributed Computing, Data Architecture, JSON, Data Import/Export, Applied Machine Learning, Data Management, Data Entry, Database Architecture and Administration, Data Collection, SQL, Python Programming, Machine Learning, Artificial Intelligence
Beginner · 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: Feature Engineering, Data Pipelines, Apache Airflow, MLOps (Machine Learning Operations), Service Level, AI Orchestration, Data Store, Data Transformation, Change Control, Key Performance Indicators (KPIs)
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: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Performance Tuning
Beginner · Course · 1 - 4 Weeks