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.

Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Model Evaluation, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science
★ 4.6 (22K) · Intermediate · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Responsible AI, Machine Learning, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Model Optimization, Dimensionality Reduction
★ 4.9 (5.8K) · Beginner · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning
★ 4.6 (4.1K) · Mixed · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Amazon Web Services, Model Deployment, Machine Learning
★ 4.5 (139) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, IBM Cloud, ChatGPT, AI literacy, Retrieval-Augmented Generation, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Workflow Management, Machine Learning, No-Code Development, Artificial Intelligence, Natural Language Processing, Deep Learning, Customer Service, AI Integrations, Customer experience improvement, Data Science
★ 4.7 (37K) · Beginner · Specialization · 3 - 6 Months

Google Cloud
Skills you'll gain: Model Deployment, Google Cloud Platform, Tensorflow, MLOps (Machine Learning Operations), Natural Language Processing, Embeddings, Model Evaluation, Recurrent Neural Networks (RNNs), Computer Vision, Reinforcement Learning, Convolutional Neural Networks, Large Language Modeling, Model Optimization, Model Training, Data Preprocessing, Cloud Deployment, Applied Machine Learning, Feature Engineering, Machine Learning, Machine Learning Algorithms
★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Evaluation, Machine Learning, Applied Machine Learning
★ 4.8 (3.4K) · Intermediate · Course · 1 - 4 Weeks

Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Model Deployment, Artificial Intelligence, Classification Algorithms
★ 4.4 (307) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Model Training, Data Access, Statistics, Machine Learning
★ 4.6 (3.4K) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Unit Testing, Large Language Modeling, LangChain, Generative AI, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), LLM Application, Keras (Neural Network Library), Supervised Learning, Generative AI Agents, Vector Databases, Fine-tuning, Python Programming
★ 4.7 (101K) · Beginner · Professional Certificate · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Python Programming, Model Training, Model Optimization
★ 4.9 (124K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
★ 4.5 (317) · Beginner · Course · 1 - 4 Weeks
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.