Sudipta Deb
Founder of Technical Potpourri, Co-Founder of Shrey Tech, Enterprise Cloud Architect
Google Cloud keeps on publishing new courses on Generative AI. Recently, they published some of their latest courses on their Google Cloud Skills Boost website. In this blog post, I am going to share the new learning offerings so that you can take advantages of them.
Learning Artificial Intelligence is becoming so important every day that it is highly recommended that you start your journey now, literally now. There are lots of free resources available. So it should not be a problem. It's just about dedicating time to learn this new stuff. And trust me, it's not going to be a waste of time. You will really take your career to a different level by learning this new technology.
Previously I published another blog post containing some of the learning resources from that time. They are still very much relevant. So if you haven't checked that out, please go and check it here.
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Latest Gen AI Learning Content
Check out these below latest courses from Google Cloud
- Course: Introduction to security in the world of AI: Regardless of your background—security engineer, IT manager, AI developer, or less technical leader—this course will give you a solid knowledge of Google's strategy for managing the nexus between security and AI.
- Course: Boost productivity with Gemini in BigQuery: With Gemini in BigQuery, you can create smarter code, visualize workflows more easily, and speed up your data-to-AI pipeline. You or your team will gain useful skills from this training that will increase productivity and help you realize the full potential of your data.
- Course: Build generative AI agents with Vertex AI and Flutter: This course will teach you how to use generative AI to create intelligent chat agents and entertaining, interactive experiences, regardless of your level of experience with Flutter and Python.
Go From Theory To Practice
Below learning paths from Google Cloud will take your theoratical knowledge to a new level when you will start implementing them in real-world use cases. That is why these learning paths are so important.
- Learning Path: Build and modernize applications with generative AI: Discover how to use generative AI to improve your projects and create end-to-end apps on Google Cloud. This route will walk you through the necessary methods and resources to smoothly include gen AI capabilities into your development process.
- Learning Path: Integrate generative AI into your data workflow: Discover how to work directly with Gemini models in BigQuery, leverage BigQuery Machine Learning for inference, and use Gemini to help your data team be more productive. In order to support the data-to-AI pipeline, this path offers a brand-new course on increasing productivity with Gemini in BigQuery.
- Learning Path: Deploy and manage generative AI models: Learn about responsible AI for developers and how to oversee the full lifetime of generative AI models, from development and deployment to monitoring. This program includes a brand-new AI model security course.
- Learning Path: Generate smarter generative AI outputs: Discover how to create apps that use generative AI to produce text and visual content. Create an AI project on Google Cloud, generate images using diffusion models, create search applications using Vector Search and embeddings, and then utilize Gemini to delve deeper into multimodal prompts and multimodal RAG.
Join Google Cloud Innovators Program
If you join Google Cloud Innovators Program, Google will give you 35 free credits every month and you can use that to explore all the products. These 35 unrestricted learning credits every month can be used on courses and labs in Google Cloud Skills Boost.
Disclaimer
This article is not endorsed by Salesforce, Google, or any other company in any way. I shared my knowledge on this topic in this blog post. Please always refer to Official Documentation for the latest information.
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