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.

Macquarie University
Skills you'll gain: Cryptography, Encryption, Network Security, Cybersecurity, Security Engineering, Network Protocols, Federated Learning, Security Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, Machine Learning Methods, No-Code Development, Model Training, Machine Learning, Machine Learning Algorithms, Public Cloud, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Version Control, Data Preprocessing, Model Deployment, Data Import/Export, Data Validation
Beginner · Course · 1 - 3 Months

University of London
Skills you'll gain: Cryptography, Cryptographic Protocols, Application Security, Cybersecurity, Data Security, Encryption, Vulnerability Assessments, Information Systems Security, Key Management, Public Key Infrastructure, Mobile Security, Data Integrity
Build toward a degree
Beginner · Course · 1 - 4 Weeks

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
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Model Training, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Model Deployment, Model Training, Google Cloud Platform, Data Quality, Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Keras (Neural Network Library), Data Strategy, Machine Learning, Machine Learning Methods, Embeddings, Cloud Deployment, Applied Machine Learning, AI Product Strategy, Responsible AI, Dataflow
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Technical Communication, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence, Model Deployment, Technical Design, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: DeepSeek API, LLM Application, Deepseek, Generative AI Agents, Prompt Engineering, AI Workflows, Tool Calling, Model Deployment, AI Orchestration, Agentic Workflows, Prompt Patterns, Large Language Modeling, AI Integrations, Cloud Deployment, Gemini, OpenAI, Application Deployment, Generative AI, Agentic systems, Data Science
Intermediate · Course · 1 - 4 Weeks
Northeastern University
Skills you'll gain: Journey Mapping, Decision Support Systems, Business Solutions, AI Product Strategy, Predictive Analytics, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Predictive Modeling, Customer Analysis, AI Integrations, Applied Machine Learning, Healthcare Industry Knowledge, Artificial Intelligence, Machine Learning, Machine Learning Algorithms, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Machine Learning, Data Preprocessing, Data Transformation, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis
Advanced · Specialization · 3 - 6 Months