Machine learning and artificial intelligence
Did you know that the adoption of machine learning results in 2x more data-driven decisions, 5x faster decision-making, and 3x faster execution?1
Learn how to implement the latest machine learning and artificial intelligence technology with courses on Vertex AI, BigQuery, TensorFlow, and more. Boost your AI skills to take your career to the next level or to prepare for a role in machine learning or software development.
Generative AI courses for every skill level
Discover the latest generative AI training courses, from beginner to advanced. Start with an introduction or dive into advanced training for application developers or data scientists.
Free Artificial Intelligence Courses
Beginner: Introduction to Generative AI Learning Path
This learning path provides an overview of generative AI concepts, from the fundamentals of large language models to responsible AI principles.
01-Introduction to Generative AI
Exploring Generative AI
02-Introduction to Large Language Models
03-Introduction to Responsible AI
04-Prompt Design in Vertex AI
05-Responsible AI: Applying AI Principles with Google Cloud
Intermediate: Gemini for Google Cloud Learning Path
08-Develop GenAI Apps with Gemini and Streamlit
Advanced: Generative AI for Developers Learning Path
12-Machine Learning Operations (MLOps) for Generative AI
Machine Learning Engineer Learning Path
A Machine Learning Engineer designs, builds, productionizes, optimizes, operates, and maintains ML systems.
A Machine Learning Engineer designs, builds, productionizes, optimizes, operates, and maintains ML systems. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the ML Engineer role. Once you complete the path, check out the Google Cloud Machine Learning Engineer certification to take the next steps in your professional journey.
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