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.

University of California San Diego
Skills you'll gain: Bioinformatics, Molecular Biology, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Data Analysis, Markov Model, Network Analysis, Biochemistry, Biotechnology, Life Sciences, Infectious Diseases, Microbiology, Statistical Analysis, Biology, Algorithms, Classification Algorithms, Data Mining, Data Preprocessing, Python Programming
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning
Intermediate · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Transfer Learning, Control Systems, Robotics, Deep Learning, Computer Vision, Artificial Intelligence, Generative AI, Reinforcement Learning, Algorithms
Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Embeddings, Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Anomaly Detection, Vector Databases, LLM Application, System Monitoring, Verification And Validation, Data Quality, Legal Technology, Semantic Web, E-Commerce, Data Validation, Unsupervised Learning, Data Manipulation, Benchmarking, Dimensionality Reduction, Cost Reduction
Intermediate · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Model Deployment, Tensorflow, Applied Machine Learning, Google Cloud Platform, Predictive Modeling, Data Processing, Machine Learning, Supervised Learning, Data Science
Advanced · Project · Less Than 2 Hours

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, AI Personalization, Prototyping, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, Deep Learning, Employee Engagement, Recruitment
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Amazon Bedrock, Model Evaluation, Data Preprocessing
Beginner · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Convolutional Neural Networks, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Transfer Learning, Image Analysis, Deep Learning, Model Evaluation, Medical Imaging, Computer Vision, Machine Learning, Data Preprocessing
Intermediate · Guided Project · Less Than 2 Hours

AI CERTs
Skills you'll gain: Agentic systems, Responsible AI, Data Pipelines, Law, Regulation, and Compliance, Data Ethics, Model Evaluation, Information Privacy, Data Processing, AI Workflows, Data Analysis, No-Code Development, Analytical Skills, Machine Learning, Artificial Intelligence, Real Time Data, Ethical Standards And Conduct, Machine Learning Algorithms, Data Collection
Intermediate · Course · 1 - 3 Months