Learning Resources

Documentation, tutorials, and cloud guides for AI researchers.

Stay tuned for more workshops and tutorials...

Compute Engine
The researcher has the flexibility to install their software and tools and manage their VM alone. Full control over virtual machines with custom configurations, GPUs, and TPUs.
Google Cloud
Vertex AI
Fully managed AI platform. The researcher focuses on their code and skips the burden of managing the infrastructure. End-to-end ML workflow support.
Google Cloud
Cloud Storage
Scalable object storage for training data, models, and checkpoints. Storage classes, lifecycle management, and best practices.
Google Cloud
Databases
Fully managed database solutions including Cloud SQL, AlloyDB, Spanner, and Bigtable for structured and unstructured data storage.
Google Cloud