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.

National Taiwan University
Skills you'll gain: Language Learning, Vocabulary, Grammar, Language Competency, Oral Comprehension
★ 4.5 (554) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Transfer Learning, Natural Language Processing, Model Optimization, Deep Learning, PyTorch (Machine Learning Library), Large Language Modeling, Fine-tuning, Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Tensorflow, Artificial Intelligence, Machine Learning Methods, Computer Vision, Model Training
Advanced · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Pedagogy, Formal Learning, Digital pedagogy, Education and Training, Teaching, Human Learning, Adult Education, Higher Education, Instructional Strategies, Diversity Awareness, Cultural Diversity, Lifelong Learning, Curriculum Development, Student-Centred Learning
★ 4.8 (424) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Apache Airflow, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Verification And Validation, Content Performance Analysis, Statistical Methods, Quality Assessment, Statistical Hypothesis Testing, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Model Deployment, Generative AI, Keras (Neural Network Library), NumPy, Model Optimization, Applied Machine Learning, Data Processing, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Generative Model Architectures, Deep Learning, Transfer Learning, Artificial Intelligence, Machine Learning, Data Science
Intermediate · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: AI literacy, Critical Thinking, Legal Technology, Advocacy, Artificial Intelligence, AI Integrations, Communication, Leadership Development, Lifelong Learning, Professional Development, Constructive Feedback, Leadership, Adaptability, Communication Strategies, Creativity, Generative AI
★ 4.4 (32) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Transfer Learning, Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: Program Evaluation, Web Content Accessibility Guidelines, Educational Materials, Multimedia, Instructional Design, Professional Development, Content Creation, Design Strategies, Communication
★ 4.7 (42) · Beginner · 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
★ 4.9 (19) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Convolutional Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Artificial Neural Networks, Image Analysis, Fine-tuning, Model Optimization, Model Training, Computer Vision, Classification Algorithms, Data Preprocessing, Network Architecture, Data Processing
★ 5 (16) · Mixed · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Model Optimization, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Statistical Programming, Model Training, Statistical Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Analytics, Data Analysis, Applied Machine Learning, Model Training, Statistical Inference, Google Cloud Platform, Machine Learning Methods, SQL
Beginner · Course · 1 - 4 Weeks