Generative AI on GCP

Last updated : 24.04.25

 

 

 

Google Cloud Skills Boost

https://www.cloudskillsboost.google/paths

 

 

1. Introduction to Generative AI Learning Path https://www.cloudskillsboost.google/paths/118

1) Introduction to Generative AI 

- Introduction to Generative AI 

- Introduction to Generative AI: Reading

Reading-list_Introduction_to_Generative_AI_v1.1.1.pdf

0.10MB

 

 

 

 

 

- Introduction to Generative AI: Quiz

 

 

02) Introduction to Large Language Models

03) Introduction to Responsible AI

04) Prompt Design in Vertex AI

05) Responsible AI: Applying AI Principles with Google Cloud

 

 

2. Intermediate : Gemini for Google cloud Learning Path https://www.cloudskillsboost.google/paths/236

01) Gemini for Application Developers

02) Gemini for Cloud Architects

03) Gemini for Data Scientists and Analysts

04) Gemini for Network Engineers

05) Gemini for Security Engineers

06) Gemini for DevOps Engineers

07) Gemini for End-to-End SDLC

08) Develop GenAI Apps with Gemini and Streamlit

 

 

 

 

 

 

 

 

 

3. Advanced : Generative AI for Developers Learning Path https://www.cloudskillsboost.google/paths/183

01) Introduction to Image Generation

02) Attention Mechanism - Korean

03) Encoder-Decoder Architecture

04) Transformer Models and BERT Model

05) Create Image Captioning Models

06) Introduction to Generative AI Studio

07) Vector Search and Embeddings

08) Inspect Rich Documents with Gemini Multimodality and Multimodal RAG

09) Responsible AI for Developers : Fairnes & Bias 

10) Responsible AI for Developers : Interpretability & Transparency 

11) Machine Learning Operations (MLOps) for Generative AI 

 

 

 

 

 

 

 

 

11) Machine Learning Operations (MLOps) for Generative AI

Course Introduction

 

 

 

The evolution of MLOps

 

 

 

MLOps framework for Generative AI

 

 

 

 

 

 

 

Navigating Generative AI : Embracing Nuances and Adapting MLOps

 

 

 

Summary