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.

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Model Training, Data Validation, Google Cloud Platform, Tensorflow, Model Optimization, Applied Machine Learning, Systems Architecture, Software Architecture, Distributed Computing, Performance Tuning, Scalability, Data Pipelines, Hybrid Cloud Computing, Dependency Analysis
Advanced · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Data Preprocessing, Model Training, Data Science, Machine Learning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Applied Machine Learning, Feature Engineering, Deep Learning, Machine Learning Algorithms, Matplotlib, Jupyter, Python Programming, Data Wrangling, Data Processing, NumPy, Data Cleansing, Model Training, Data Manipulation, Data Transformation, Artificial Neural Networks, Seaborn
Mixed · Course · 1 - 3 Months

Skills you'll gain: Learning Management Systems, Education Software and Technology, Digital pedagogy, Real Time Data, Google Workspace
Beginner · Guided Project · Less Than 2 Hours

University of Illinois Urbana-Champaign
Skills you'll gain: Education Software and Technology, Differentiated Instruction, Education and Training, Diversity Awareness, Cultural Diversity, Digital pedagogy, Special Education, Human Learning, Teaching, Pedagogy, Higher Education, Student-Centred Learning, Instructional Strategies, Social Justice, Socioeconomics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Optimization, Model Evaluation, Data Transformation, Model Training, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Data Science, IBM Cloud, Python Programming
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Image Analysis, Convolutional Neural Networks, Transfer Learning, Deep Learning, Generative AI, Generative Model Architectures, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Recurrent Neural Networks (RNNs), Applied Machine Learning, Feature Engineering, Model Evaluation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Machine Learning Software, Model Training, Computer Programming
Beginner · Course · 3 - 6 Months

Skills you'll gain: Model Optimization, Calculus, Applied Mathematics, NumPy, Mathematical Software, Numerical Analysis, Machine Learning Algorithms, Tensorflow, Python Programming, Derivatives, Development Environment
Intermediate · Course · 1 - 3 Months

Universidades Anáhuac
Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Model Training, Model Deployment, Computer Vision
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Application Development, Predictive Modeling, Model Optimization
Beginner · Course · 1 - 4 Weeks