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: Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking, Problem Management, Data Structures, Integrated Development Environments, Debugging, Development Environment
Beginner · Course · 1 - 3 Months

Skills you'll gain: Site Reliability Engineering, Kubernetes, Application Performance Management, Google Cloud Platform, Cloud Infrastructure, System Monitoring, Prompt Engineering, Application Deployment, Identity and Access Management, CI/CD, Containerization, Cloud Storage, Cloud Security, Cloud Services, Cloud Management, Service Level Agreement, Virtual Machines, Safety Culture, Network Monitoring, Culture Transformation
Beginner · Professional Certificate · 3 - 6 Months

National Taiwan University
Skills you'll gain: Operations Research, Network Model, Applied Machine Learning, Case Studies, Applied Mathematics, Mathematical Modeling, Transportation Operations, Business Analytics, Advanced Mathematics, Linear Algebra, Algorithms
Advanced · Course · 1 - 3 Months

Skills you'll gain: Gemini, API Gateway, Cloud Applications, Kubernetes, Google Cloud Platform, Containerization, Cloud Infrastructure, Cloud Development, Application Deployment, Prompt Engineering, CI/CD, Serverless Computing, Cloud-Native Computing, Microservices, Data Persistence, Application Development, Identity and Access Management, Cloud Computing, Cloud Storage, Debugging
Intermediate · Professional Certificate · 3 - 6 Months

Columbia University
Skills you'll gain: Statistical Inference, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design, Econometrics, Program Evaluation, Logistic Regression
Advanced · Course · 1 - 3 Months
Stanford University
Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis
Advanced · Course · 1 - 3 Months

Skills you'll gain: Image Analysis, Convolutional Neural Networks, Model Evaluation, Applied Machine Learning, Deep Learning, Computer Vision, Artificial Neural Networks, Data Preprocessing, Data Processing, Regression Analysis
Beginner · Course · 1 - 4 Weeks

University of California, Davis
Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Natural Language Processing, Web Scraping, Social Sciences, Data Ethics, Databases, Artificial Intelligence, Research, Simulations, Data Processing, Big Data, Systems Thinking, Social Studies, Trend Analysis, Data Science, AI Enablement, Research Methodologies, Machine Learning
Beginner · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: LangGraph, AI Orchestration, System Monitoring, CrewAI, Agentic Workflows, Continuous Monitoring, Agentic systems, Enterprise Application Management, Event Monitoring, Artificial Intelligence and Machine Learning (AI/ML), Site Reliability Engineering, AI Enablement, Model Deployment, Generative AI Agents, Generative Model Architectures, AI Security, Systems Architecture, Software Architecture, Application Deployment, Middleware
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks, Embeddings
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Agile Software Development, Scrum (Software Development), Cloud Computing Architecture, Cloud Services, Cloud Deployment, Agile Methodology, DevOps, Kanban Principles, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Agile Product Development, Agile Project Management, Cloud-Native Computing, User Story, Cloud Storage, Sprint Retrospectives, CI/CD, Test Driven Development (TDD)
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Data Import/Export, Predictive Modeling, Data Preprocessing, Regression Analysis, Data Science, Statistical Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data-Driven Decision-Making, Matplotlib, Data Visualization, NumPy, Python Programming
Intermediate · Course · 1 - 3 Months