GCP – Back to AI school: New Google Cloud training to future-proof your AI skills

Getting ahead — and staying ahead — of the demand for AI skills isn’t just key for those looking for a new role. Research shows proving your skills through credentials drives promotion, salary increase, leadership opportunities and more. And 8 in 10 Google Cloud learners feel our training helps them stay ahead in the age of AI.¹ This is why we are so focused on providing new AI training content ensuring you have the tools to keep up in this ever-evolving space.

That’s why I’m thrilled to announce a new suite of Google Cloud AI training courses. These courses are designed with intermediate and advanced technical learners in mind for roles such as Cloud Infrastructure Engineers, Cloud Architects, AI Engineers and MLOps Engineers, AI Developers and Data Scientists. Whether you’re looking to build and manage powerful AI infrastructure, master the art of fine-tuning generative AI models, leverage serverless AI inference, or secure your AI deployments, we’ve got you covered.

For cloud infrastructure engineers, cloud architects, AI engineers and MLOps engineers:

• AI infrastructure mini courses are your guide to designing, deploying and managing the high-performance infrastructure that powers modern AI. You’ll gain a deep understanding of Google’s TPU and GPU platforms, and learn to use Google Compute Engine (GCE) and Google Kubernetes Engine (GKE) as a robust foundation for any AI workload you can imagine.

For machine learning engineers, data scientists and AI developers:

• Build AI Agents with Databases on Google Cloud teaches you how to securely connect AI agents to your existing enterprise databases. You’ll learn to craft agents that perform intelligent querying and semantic search, design and implement advanced multi-step workflows, and deploy and operationalize these powerful AI applications. This course is essential for building robust and reliable AI agents that can leverage your most critical data.

• Supervised fine-tuning for Gemini educates you on how to take Google’s powerful models and make them your own by customizing them for your specific tasks, enhancing their quality and efficiency so they deliver precisely what you and your users need. 

• Cloud Run for AI Inference teaches you how to deploy those innovations with incredible speed and scale of serverless AI workloads. You’ll learn how to handle demanding AI workloads, including lightweight LLMs, and leverage GPU acceleration, ensuring your creations reach your audience efficiently and reliably.

Security engineers, security analysts:

• Model Armor: Securing AI Deployments equips you with the knowledge to protect your generative AI applications from critical risks like data leakage and prompt injection. It’s the essential step to ensuring your innovations can be leveraged with confidence.

For individual developers, business analysts, and other non-technical users: 

• Develop AI-Powered Prototypes in Google AI Studio shows you how to use Google AI Studio, our developer playground for the Gemini API, to quickly sketch and test your ideas. Through hands-on labs and tutorials, you’ll learn how to prototype apps with little upfront setup and create custom models without needing extensive coding expertise. It’s the perfect way to turn a concept into a working model, ensuring your final structure is built on a tested and innovative design.

Start learning

Building a career in AI is about creating a future where you feel empowered and prepared, no matter how the landscape changes. We believe these courses provide the tools and the confidence to do just that.

Explore our new AI courses on Google Cloud Skills Boost today, and start building for your future.

^{1. Google/Ipsos, Cloud Learning Services Market Pulse, Fielded Sept 17th – October 23rd 2024 (US, UK, FR, DE, IN, BR, MX, JP, AU/NZ)}