Machine Learning Andrew Ng Courses
Machine Learning courses by Andrew Ng focus on key concepts like supervised and unsupervised learning, neural networks, and decision trees. You’ll learn how to implement algorithms, evaluate models, and apply techniques using tools like Python and TensorFlow. These courses are designed to give you a solid foundation in how machines learn from data.
Popular Machine Learning Andrew Ng Courses and Certifications
Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Model Evaluation, Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Machine Learning Methods, Time Series Analysis and Forecasting, Deep Learning, Securities Trading, Portfolio Management, Artificial Neural Networks, Model Training, Machine Learning Software, Financial Forecasting
Coursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Forecasting, Anomaly Detection
Microsoft
Skills you'll gain: Generative AI, Responsible AI, Unsupervised Learning, Fine-tuning, Model Deployment, Generative Model Architectures, Large Language Modeling, Data Management, Natural Language Processing, Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Federated Learning, Generative Adversarial Networks (GANs), LLM Application, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Model Optimization
Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Wrangling, SQL, Plot (Graphics), Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Cleansing, Jupyter, Data Literacy, Generative AI, Professional Networking, Data Visualization, Python Programming
University of Michigan
Skills you'll gain: Program Evaluation, Course Development, Educational Materials, Multimedia, Instructional Design, Learning Theory, Design, Education Software and Technology, Professional Development, Brainstorming, Needs Assessment, Diversity Awareness, Content Creation, Prototyping, Design Strategies, Analysis, Communication, Collaboration
Google Cloud
Skills you'll gain: Responsible AI, LLM Application, AI literacy, Deep Learning
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Simulations, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning, Performance Testing, Artificial Neural Networks, Model Optimization, Performance Tuning, Linear Algebra
University of Washington
Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Image Analysis, Machine Learning Algorithms, Unsupervised Learning, Predictive Modeling, Bayesian Statistics, Model Training, Logistic Regression, Deep Learning, Decision Tree Learning, Statistical Machine Learning, Transfer Learning, Application Development, Statistical Inference, Model Optimization
Skills you'll gain: Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Unstructured Data, Applied Machine Learning, Cloud API, Machine Learning, Artificial Intelligence
Skills you'll gain: Prompt Engineering, Unit Testing, Software Development Life Cycle, Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Responsible AI, Computer Vision, LangChain, LLM Application, Javascript, Full-Stack Web Development, IBM Cloud, Data Ethics, Python Programming, Application Deployment, Software Development, Machine Learning, Data Science
Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability
How to choose the right Machine Learning Andrew Ng course
Start with what you want to do with machine learning. If you want to apply it to predictive analytics, choose courses focusing on regression, classification, and model evaluation techniques. If you're interested in deep learning applications, look for courses covering neural networks, convolutional networks, and recurrent networks.
