Advanced Solutions Lab for Agentic AI & ML

Build high-impact and transformative business solutions by moving from stalled pilot projects to production, leveraging the expertise and guidance of Google AI Engineers and specialists.

The Advanced Solutions Lab offers technical teams an opportunity to collaborate directly with Google AI engineers and experts in an immersive multi-week engagement. Participants gain hands-on experience and experiment with Google Cloud's comprehensive AI / ML product suite within a secure sandbox environment. This dedicated, expert guidance helps teams rapidly develop and enhance AI solutions tailored to their specific real-world business challenges.

Contact your Google Cloud account team for more information.

Intensive AI / ML training at a Google campus or opt for virtual

Apply AI & ML at scale

Drive business performance and key objectives

Sample schedule

On-site enablement in dedicated, collaborative spaces at Google

The program consists of a full-time, two to four-week intensive curriculum developed from the same core engineering practices Google uses to build advanced artificial intelligence and machine learning. Working side-by-side with Google AI Engineers, your team will design, prototype, and scale everything from foundational predictive ML models to autonomous agentic workflows and multi-agent architectures. Using Gemini, foundational frameworks like TensorFlow, PyTorch, and JAX, and modern enterprise APIs, your team will be equipped to tackle either or both traditional machine learning challenges and complex agentic use cases tailored to your business objectives.

Available in the Bay Area, New York, Dublin and Tokyo
Immersive, hands-on training and enablement in key machine learning and / or agentic workflows and multi-agent architectures
Full-time, cohort-based approach
Dedicated, badge-secured Google workspace accessible to your team for the duration of the engagement

Immerse yourself in the Advanced Solutions Lab, remotely.

ASL Virtual provides you and your team the opportunity to work with Google engineers even if you can't make it to a Google campus.

ASL Code snippets to train your Models

Check out a wide range of detailed Jupyter notebooks and code snippets demonstrating how to train AI models by exploring our Advanced Solutions Lab GitHub repository. The repo holds notebooks that instruct how to take foundational predictive ML models and autonomous agentic workflows and multi-agent architectures into production. Fork or Star the repo if you find the code useful and would like to see more from the Advanced Solutions Lab Team!

Explore ASL Team repo

Customer stories

Chiba Bank

Chiba Bank partners with Google Cloud Consulting's Advanced Solutions Lab to upskill Chiba Bank's workforce in AI and ML.

Peacock

Peacock completed a highly impactful Advanced MLOps workshop from the Google Cloud Advanced Solutions Lab. Participants were split roughly fifty-fifty between engineers and data scientists and spanned several teams across multiple organizations. Navigating the workshop together allowed the multidisciplinary teams to establish a baseline and create a common vocabulary and a shared understanding of the problems they faced.

The Home Depot

Senior IT leaders at The Home Depot approached the Advanced Solutions Lab (ASL) to build a custom learning plan that involved an immersive instruction in training, tuning, and serving models with Vertex AI.

Wayfair

A team of ten Wayfair data scientists worked side by side with Google ML Solutions Engineers at ASL to gain hands-on training and deep-dive on ML topics with a focus to improve their engineering and data scientist best practices.

LG CNS

LG CNS engaged The ASL Team to upskill their engineers in ML & MLOps. With the benefit of Google Meet and live simultaneous interpretation, Korea-based participants gathered in a classroom environment to collaborate and learn virtually with Google engineers and ML experts from Google offices in the United States.

Deutsche Bank

Deutsche Bank data science teams partnered with the Advanced Solutions Lab to immerse themselves in the use of MLOps on Vertex AI for the first time. They explored building end-to-end ML pipelines on Google Cloud, which allowed them to automate the whole ML process.

Notified

Notified worked with the Advanced Solutions Lab to train their team on Machine Learning Operations (MLOps). They implemented their learnings on their public relations workbench that uses artificial intelligence to help customers pinpoint relevant journalists and expand media coverage.

AirAsia

Discover how the AirAsia team members explored applied machine learning with ASL in order to better serve their customers.

20th Century Fox

Read how the 20th Century Fox data science team partnered with Google Cloud's Advanced Solutions Lab to create Merlin Video, a computer vision tool that learns dense representations of movie trailers to help predict a specific trailer's future moviegoing audience.

Corus Entertainment

Learn how Corus Media & Entertainment accelerated the time to build and scale targeted campaigns with the help of Google Cloud's Advanced Solutions Lab and contextual labelling ML models and solutions.

Dena

Learn more about how DeNA improved the player experience in their mobile games with applied machine learning.

Itaú Unibanco

Learn how Brazil's largest private sector bank built AVI, it's virtual digital assistant, AVI (Itaú Virtual Assistant) using natural language processing and machine learning to understand customer questions and respond in real time.

mixi

Find out how engineers from mixi accelerated their AI adoption with help from Google Cloud's Advanced Solutions Lab.

Osaka Gas

Osaka Gas attended ASL after they realized they didn't have the skills to maximize their technology. Learn how they used Google Cloud AI for initiatives from failure prediction and power demand forecasting to marketing support.

Globo and Hurb at The Advanced Solutions Lab

A small and determined cohort of data scientists, IT managers, software engineers, ML engineers, and business analysts from Latin America's largest media giant, Grupo Globo, and Brazil's leading online travel platform, Hotel Urbano (Hurb Travel), spent two weeks in New York City sitting side by side with some of Google's most talented AI experts from The Google Cloud Advanced Solutions Lab for Machine Learning (ASL). The teams from Globo and Hurb worked alongside our incredible ML Solutions Engineers and ASL instructors to format and develop ML solutions to real world business challenges. This two week long hackathon culminated in a "demo day" where each team presented findings to Google and executive stakeholders who viewed presentations from inside the room and back home at HQ in Brazil.
Check out our YouTube video to learn more about their story!

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Google Cloud AI and ML Training

Not ready for the Advanced Solutions Lab? Take the first step towards achieving your business goals with artificial intelligence and machine learning.

See Google Cloud training