Sudipta Deb

Sudipta Deb

Founder of Technical Potpourri, Co-Founder of Shrey Tech, Enterprise Cloud Architect

In the pantheon of technological breakthroughs that have shaped the digital age, the emergence of artificial intelligence (AI) stands as a pioneering force, transforming industries and redefining the boundaries of what machines can achieve. Among the myriad facets of AI, there’s one that has recently captured the imagination of technologists, creatives, and businesses alike: Generative AI. But why has this particular brand of AI become the talk of the town, and why is it so crucial for us to familiarize ourselves with it today?

Generative AI isn’t just another tech buzzword. It represents a new frontier in machine learning, where systems can not only interpret and analyze massive datasets but also generate entirely new content, whether it be art, music, text, or even innovative product designs. Imagine machines that can conjure up artworks reminiscent of Picasso, compose music that echoes Beethoven, or write essays with the flair of Shakespeare. This isn’t the stuff of science fiction anymore – it’s happening right here, right now.

As we stand at the crossroads of an era marked by rapid technological advancements, understanding the nuances and potentials of Generative AI is more than just an academic exercise. It’s about acknowledging the direction in which our world is heading. From automating routine tasks to fostering unimagined creativity, the implications of this technology span across sectors, touching every facet of our professional and personal lives.

In this blog post, I will cover all the Generative AI training available from Google Cloud. Google keeps on bringing new content frequently. So I will also update as new content comes in.

As of today, there are two paths available to learn and understand Generative AI.

Introduction to Generative AI Learning Path

This path is for non-technical audience as it covers the introduction of Generative AI. It contains the following –

🌟Introduction to Generative AI – course
🌟Introduction to Large Language Models – course
🌟Introduction to Responsible AI – course
🌟Generative AI Fundamentals – earn a skill badge
🌟Responsible AI: Applying AI Principals with Google Cloud – course


Generative AI for Developers Learning Path

This path is for technical practitioners and it is more advanced. It contains the following –

🌟Responsible AI for Developers – course
🌟Introduction to Image Generation – course
🌟Attention Mechanism – course
🌟Encoder-Decoder Architecture – course
🌟Transformer Models and BERT Model – course
🌟Create Image Captioning Models – course
🌟Introduction to Generative AI Studio – course
🌟Generative AI Explorer: Vertex AI – earn a skill badge 
🌟Explore and Evaluate Models Using Model Garden – lab
🌟Prompt Design Using PaLM – lab


Introduction of Generative AI Under an Hour

If you want to understand what is Generative AI and what it can do, why it is important, then go for this below under an hour course.

🌟Introduction to Generative AI course:

Interested in Hands-On Labs

If you are interested in Hands-On Labs which requires Qwiklabs Credits, you can try the below labs

🌟 Get Started with Generative AI Studio (1 credit) – introductory, 60 minutes
🌟 Generative AI with Vertex AI: Getting Started (1 credit) – introductory, 90 minutes
🌟 Generative AI with Vertex AI: Prompt Design (1 credit) – introductory, 90 minutes
🌟 Vertex AI PaLM API: Qwik Start (1 credit) – introductory, 60 minutes
🌟 Integrate Search in Applications Using Gen AI App Builder (1 credit) – introductory, 90 minutes
🌟 Prompt Design using PaLM (1 credit) – intermediate, 90 minutes
🌟 Explore and Evaluate Models using Model Garden (1 credits) – intermediate, 60 minutes



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.


Submit a Comment

Your email address will not be published. Required fields are marked *