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.

Skills you'll gain: MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Google Cloud Platform, Predictive Modeling, Applied Machine Learning, Verification And Validation, Performance Testing, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Feature Engineering, Data Transformation, Tensorflow, Data Processing, Data Store, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Pipelines, Applied Machine Learning, Data Modeling, Google Cloud Platform, Machine Learning
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Google Cloud Platform, Data Modeling, Data Storage Technologies, Data Processing, Data Storage, Applied Machine Learning, Data Quality
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Large Language Modeling, Semantic Web, Generative AI, Artificial Intelligence, Google Cloud Platform, Applied Machine Learning, Natural Language Processing, Algorithms
Intermediate · Course · 1 - 4 Weeks