Stanford Courses
Courses in Stanford-related topics can help you learn data analysis, machine learning techniques, programming in Python, and statistical modeling. You can build skills in critical thinking, problem-solving, and applying algorithms to real-world challenges. Many courses introduce tools like TensorFlow for AI projects, R for data visualization, and SQL for database management, showing how these skills can be applied in various industries, from tech startups to healthcare.
Popular Stanford Courses and Certifications
Status: Free TrialDeepLearning.AI
Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation
Google Cloud
Skills you'll gain: Generative AI, Web Content, Web Analytics and SEO, AI Enablement, Prompt Engineering, Content Management, Google Cloud Platform, User Experience Design
Google Cloud
Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Generative AI, Generative Model Architectures, Large Language Modeling, Google Cloud Platform, Model Deployment
Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Applied Machine Learning
Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, Model Deployment, MLOps (Machine Learning Operations), Data Quality
Status: PreviewGoogle Cloud
Skills you'll gain: Google Gemini, Generative AI, Prompt Engineering, Multimodal Prompts, AI Workflows, Google Cloud Platform, LLM Application, Model Deployment, Prototyping, Performance Tuning
Status: Free TrialSkills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics
Skills you'll gain: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Machine Learning Methods, Continuous Monitoring, AI Security, Statistical Methods, Responsible AI, Google Cloud Platform
Status: Free TrialDeepLearning.AI
Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Text Mining, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Statistical Modeling, Probability & Statistics
Status: Free TrialDeepLearning.AI
Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Applied Machine Learning
Skills you'll gain: Model Evaluation, Generative AI, Continuous Monitoring, Google Cloud Platform, Responsible AI, MLOps (Machine Learning Operations), Predictive Modeling
Google Cloud
Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Semantic Web, Generative AI, Natural Language Processing, Google Cloud Platform
In summary, here are 10 of our most popular Stanford courses
- Natural Language Processing with Attention Models: DeepLearning.AI
- 在 Google Cloud 上使用生成式 AI 进行网站现代化改造: Google Cloud
- 在 Google Cloud 打造生成式 AI 應用程式: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Español: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
- Introduction to Vertex AI Studio - Español: Google Cloud
- Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
- Natural Language Processing with Probabilistic Models: DeepLearning.AI
- Natural Language Processing with Sequence Models: DeepLearning.AI
