Unsupervised learning courses can help you learn clustering techniques, dimensionality reduction, and anomaly detection. You can build skills in data preprocessing, feature extraction, and interpreting complex datasets. Many courses introduce tools like Python libraries such as Scikit-learn and TensorFlow, that support implementing these methods in projects. You'll also explore practical applications in areas like customer segmentation, image processing, and recommendation systems, enhancing your ability to derive insights from unlabelled data.

Coursera
Skills you'll gain: Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Model Optimization, Model Training, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Model Training, Supervised Learning
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: PyTorch (Machine Learning Library), Model Training, Convolutional Neural Networks, Heat Maps, Model Evaluation, Image Analysis, Deep Learning, Computer Vision
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Universidades Anáhuac
Skills you'll gain: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Predictive Analytics, Model Training, Statistical Modeling, Data Modeling, Forecasting, Model Optimization, Supervised Learning, Applied Machine Learning, Regression Analysis, Feature Engineering, Machine Learning Methods, Data Preprocessing, Unsupervised Learning, Machine Learning, Machine Learning Algorithms, Logistic Regression, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Commonwealth Education Trust
Skills you'll gain: Curriculum Development, Curriculum Planning, Teaching, Education and Training, Instructional and Curriculum Design, Instructing, Instructional Strategies, Pedagogy, Student-Centred Learning, Student Engagement, Collaboration, Learning Theory, Planning
Mixed · Course · 1 - 3 Months

Skills you'll gain: Angular, TypeScript, JavaScript Frameworks, UI Components, Frontend Performance, React Native, Web Applications, Front-End Web Development, React.js, Javascript, Web Development, Performance Tuning, Frontend Integration, Application Programming Interface (API), Restful API, User Interface (UI), Unit Testing
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Python Programming, Machine Learning, Automation
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Training, Machine Learning Methods, Fine-tuning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Education Software and Technology, Collaborative Software, Digital pedagogy, Learning Management Systems, Content Management
Beginner · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Machine Learning Software, Machine Learning, Data Visualization, Python Programming, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives
Intermediate · Course · 1 - 4 Weeks

Universidad de los Andes
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Model Optimization, Network Architecture, Natural Language Processing, Model Training
Build toward a degree
Beginner · Course · 1 - 4 Weeks