November 15, 2024: The Cloud Innovators Plus program has evolved and is now the premium tier of the Google Developer Program.
The majority of organizations feel unprepared for the AI era. In fact, 62% say they don’t have the expertise needed to realize AI’s full potential.1 As a learning leader at Google Cloud, the only thing that surprises me about this number is how low it is. I meet with customers every day, and 100% of them point out some kind of AI skills gap.
I have good news. This makes developers, machine learning engineers, and data experts invaluable. You are exactly what these organizations are looking for. But with the speed of change in AI, you need to stay on the cutting edge. A 2024 study estimates that approximately 70% of AI talent will need to update their skills.2 However, many technology professionals lack the training they need to move from theory to practice and integrate AI into their daily work.
That’s why today we’re proud to share with you our latest learning offering on generative AI. Google Cloud Skill Boost. Please say hello 4 new learning paths It’s designed to give developers real-world generative AI skills to build applications, manage and secure machine learning models, generate impactful content, and analyze data like a pro. Here you’ll find a detailed course that will first guide you through your proficiency development and ultimately test your skills in a real challenge lab.
Gain hands-on experience with Gen AI use cases
Generative AI is powerful, but how to actually realize the value of this technology? Actual usage example Requires practical experience and technical knowledge. The new Google Cloud learning paths listed below will give you the generative AI skills you need to complete innovative work in your current role, including improving customer experience and team productivity. This also creates new career (and advancement) opportunities. Receive skill badges when you complete hands-on training. showcase Expertise on resume or social media channels:
Learning path: Build and modernize applications with generative AI: Learn how to harness the power of generative AI to power your projects and build end-to-end applications on Google Cloud. This path covers important techniques and tools to seamlessly integrate Gen AI capabilities into your development workflow.
Learning path: Integrate generative AI into your data workflows: Learn how to use BigQuery machine learning for inference, work with Gemini models directly in BigQuery, and leverage Gemini’s assistant to make your data team more efficient.e. This path includes a new course on Boosting Productivity with BigQuery’s Gemini to help you with your data-to-AI pipeline.
Learning path: Deploy and manage generative AI models: Learn how to manage the entire lifecycle of your generative AI models, from development to deployment and monitoring, including an introduction to responsible AI for developers. This path includes an all-new course on AI model security.
Learning path: Generate smarter generative AI output: Learn how to use generative AI to build applications that generate text and visual content. Develop an AI project on Google Cloud, use diffusion models for image generation, build a search application using Vector Search and embedding, and then dig into multimodal prompts and multimodal RAGs using Gemini.
