The top AI courses for a summer of learning with Google Cloud
Debi Cabrera
Developer Relations Engineer
Summer's well on its way, and it feels like it’s time for a road trip! But instead of just cruising down the highway, why not embark on a journey that supercharges your AI skills?
Generative AI isn't just a buzzword; it's transforming industries. With Vertex AI, you can build applications that tailor experiences for users, automate processes and order flows, and enrich data alongside BigQuery and Cloud Run.
That being said, I'm always on the lookout for helpful resources on building Gen AI products to share with my community. To help you make the most of this summer, I've crafted a learning roadmap using Google Cloud Skills Boost. It's designed to guide you from AI curiosity to capability, equipping you with the skills needed to excel in this dynamic field. So, are you ready for a summer learning journey?
Phone, check.
Keys, check.
Learning credits?
It costs nothing to join the no-cost Google Cloud Innovators program, where you receive 35 learning credits each month to use on courses, labs, and skill badges in Skills Boost. This means all the stops on our summer learning road trip are accessible to you at no cost. All right, let’s hit the road!
First stop is a low-code approach
These initial training courses lay the groundwork for understanding generative AI, from its core concepts to the responsible development of large language models (LLMs). You'll explore Google's tools for building your own AI applications and master the art of crafting effective prompts in Vertex AI.
Training 1: Introduction to Generative AI: Get acquainted with the fundamental concepts of generative AI, and how to use it as a developer.
Training 2: Introduction to Large Language Models (LLMs): Delve deeper into the world of LLMs, their applications, and the Google tools you can use to develop your own Generative AI apps.
Training 3: Introduction to Responsible AI: It's not just about the tech itself; it's about responsible innovation. Learn to create AI systems that are fair, unbiased, and socially conscious.
Training 4: Prompt Design in Vertex AI: Learn prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI.
Shift into high gear with AI engineering
This section takes you beyond the basics, diving into the powerful tools and techniques that drive AI engineering. You'll gain hands-on experience building applications with Gemini and Streamlit, explore the fascinating world of image generation, and unlock the full potential of multimodal AI with Gemini.
Training 5: Introduction to Vertex AI Studio: Familiarize yourself with Vertex AI Studio, your control center for building Gemini multimodal applications, designing prompts, and fine-tuning models.
Training 6: Develop GenAI Apps with Gemini and Streamlit: Build interactive, user-friendly apps powered by Gemini with the Vertex AI Gemini API and Python SDK, and learn how to deploy a Steamlit app integrated with Gemini on Cloud Run
Training 7: Introduction to Image Generation: Discover how to generate images with AI using diffusion models, and how to train and deploy them on Vertex AI.
Training 8: Explore Generative AI with the Vertex AI Gemini API: Learn text generation, image and video analysis for content creation, and function calling techniques within the Gemini API for Vertex AI.
Training 9: Multimodality with Gemini: Harness the power of multimodal prompts to extract insights from text and visual data. Generate video descriptions and uncover hidden details in videos.
Navigate machine learning and hit the gas
At this stop you'll learn how to harness the power of Vertex AI and BigQuery to build, deploy, and leverage machine learning models, extracting valuable insights from vast datasets.
Training 10: Build and Deploy Machine Learning Solutions on Vertex AI: Turn your ideas into reality. Learn how to take your models from concept to deployment using Vertex AI and AutoML.
Training 11: BigQuery for Machine Learning: BigQuery is more than just a data warehouse. Leverage its vast datasets to build, train, evaluate, and predict with your own machine learning models.
Your no-cost AI summer road trip starts now
Embarking on your AI summer learning road trip has never been easier. Remember, the Google Cloud Innovators program is a no-cost way to receive 35 learning credits each month to use on these courses, labs, and skill badges in Skills Boost.
As you level up your skills, be sure to share your progress with the world! Earn skill badges by completing courses and labs and validate them through Credly to proudly display your progress on your preferred professional social network.
Don’t forget to take a pit stop at the Google Cloud Skills Boost Arcade, where you can translate your progress into exciting badges and exclusive prizes.
This summer, let Google Cloud Skills Boost be your compass as you skill up in AI. Happy learning!
