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: Data-Driven Decision-Making, Applied Machine Learning, Vector Databases, NumPy, Model Evaluation, Machine Learning, Machine Learning Algorithms, Linear Algebra, Python Programming, Classification Algorithms, Numerical Analysis, Performance Testing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Processing, Systems Design, Data Pipelines, Data Infrastructure, Google Cloud Platform, Quality Assurance, Data Modeling, Data Compilation, Statistical Reporting, Interactive Data Visualization, MLOps (Machine Learning Operations), Model Deployment, Data Quality, Database Development, Applied Machine Learning, Data Maintenance, Cloud Security, Machine Learning
Advanced · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Statistical Machine Learning, Model Optimization, Statistical Modeling, Machine Learning Algorithms, Performance Testing, Machine Learning, Data Validation, Statistics, Predictive Modeling, Analysis, Statistical Analysis, Correlation Analysis, Data Analysis, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Model Training, Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Decision Intelligence, Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Machine Learning, Business Metrics, Predictive Analytics, Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Penetration Testing, Cybersecurity, Cyber Security Assessment, Anomaly Detection, Cyber Attacks, Threat Detection, AI Security, Security Awareness, Network Analysis, Generative AI, Prompt Engineering, Email Security, Unsupervised Learning, Applied Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Applied Machine Learning, Image Analysis, Machine Learning Algorithms, Generative AI, Machine Learning, Computer Vision, Microsoft Azure, Artificial Intelligence, AI literacy, Supervised Learning, Data Preprocessing, Natural Language Processing, OpenAI, AI Workflows, Model Training, Data Ethics, Model Deployment, Model Evaluation, Feature Engineering
Beginner · Course · 1 - 3 Months
STARWEAVER
Skills you'll gain: Cyber Threat Hunting, Cyber Threat Intelligence, Threat Detection, Anomaly Detection, Splunk, Threat Management, Security Information and Event Management (SIEM), Jupyter, Cybersecurity, Unsupervised Learning, Data Analysis, Data Wrangling, Applied Machine Learning, Data Science, Cyber Attacks, Data Cleansing, Data Preprocessing, MLOps (Machine Learning Operations), Data Transformation, Automation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis
Beginner · Specialization · 1 - 4 Weeks
Skills you'll gain: LLM Application, Data Preprocessing, Large Language Modeling, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Data Integration, Applied Machine Learning, Data Capture, Data Quality, Exploratory Data Analysis, Natural Language Processing, Classification Algorithms, Data Management
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Data-Driven Decision-Making, Applied Machine Learning, Image Analysis, LLM Application, Model Optimization, Data Flow Diagrams (DFDs), Database Theory, Docker (Software), Prompt Engineering, Database Design, NumPy, AI Integrations, Databases, Scikit Learn (Machine Learning Library), Semantic Web, Simulations, Python Programming
Intermediate · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Model Training, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Data Store, Jupyter, Data Analysis, Data Warehousing, Machine Learning
Beginner · Project · Less Than 2 Hours

Imperial College London
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Model Evaluation, Deep Learning, Convolutional Neural Networks, Model Optimization, Image Analysis, Predictive Modeling, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Computer Vision
Intermediate · Course · 1 - 3 Months