GCP has the best AI and analytics services of any cloud provider. This course covers the core compute and storage services, BigQuery for petabyte-scale analytics, and Vertex AI for model training and deployment — with hands-on examples throughout.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on google cloud platform and ai services you can find — even without producing a single minute of custom video.
This course is built by people who ship production google systems for a living. It reflects how things actually work on real projects — not how the documentation describes them.
Every day has working code snippets you can paste into your editor and run right now. The emphasis is on understanding what each line does, not memorizing syntax.
Instead of shooting videos that go stale in six months, Precision AI Academy links to the definitive open-source implementations, official documentation, and the best conference talks on the topic.
Each day is designed to finish in about an hour of focused reading plus hands-on work. You can do the whole course over a week of lunch breaks. No calendar commitment, no live classes, no quizzes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
Projects, IAM, service accounts, billing alerts, and the mental model for how GCP organizes its 100+ services. The foundation everything else builds on.
Cloud Run for stateless containerized workloads (no server management); Compute Engine for full VM control. When to use each and the networking that connects them.
Google Cloud Storage for object storage, Cloud SQL for managed PostgreSQL and MySQL, and the IAM permissions model that controls access to both.
Loading data, writing SQL against petabyte-scale tables, partitioning and clustering for cost control, and the BigQuery ML functions that run models in SQL.
Vision API, Natural Language API, and Vertex AI for custom model training and deployment. The Vertex AI pipeline for taking a training run to a serving endpoint.
Instead of shooting our own videos, Precision AI Academy links to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
GCP core services — compute, storage, networking, and IAM — with hands-on labs.
Loading data, querying at scale, partitioning, and BigQuery ML for in-database machine learning.
Deploying containerized applications to Cloud Run. Zero-config scaling and managed TLS.
Custom model training, deployment to endpoints, and the Vertex AI pipeline for MLOps.
The best way to understand any technology is to read the production-grade implementations that prove it works. These repositories implement patterns from every day of this course.
The official Python client libraries for all GCP services. The BigQuery and Vertex AI clients are used throughout Days 4 and 5.
Official Google Cloud code samples for every service. The best reference for idiomatic GCP Python.
Official notebooks and scripts for Vertex AI. The pipeline examples from Day 5 are based directly on these samples.
Infrastructure-as-code for GCP. The foundation for deploying reproducible GCP environments after this course.
You know AWS. This course highlights where GCP’s BigQuery and Vertex AI are genuinely superior and teaches the service-to-service mapping.
BigQuery is the most powerful SQL analytics engine available. This course teaches you to use it at the scale Google designed it for.
Vertex AI’s managed training and serving removes infrastructure from the MLOps loop. This course covers the deployment pipeline end-to-end.
The 2-day in-person Precision AI Academy bootcamp covers Google Cloud Platform and AI services hands-on. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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