Learning Paths
Beginner: Introduction to Generative AI Learning Path
Intermediate: Gemini for Google Cloud Learning Path
Advanced: Generative AI for Developers Learning Path
Short Courses
Introduction to Generative AI
(45min)
Introduction to Large Language Models
(30min)
Introduction to Vertex AI Studio
(2hr)
Gemini for Application Developers
(1.5 hr)
Vector Search and Embeddings
(2hr)
Introduction to prompt design
Quick Hands-on Labs
INTRODUCTORY
Get Started with Vertex AI Studio
Generative AI with Vertex AI: Prompt Design
Multimodality with Gemini
Generative Chat App with Vertex AI Agent Builder and Dialogflow
Creating Vertex AI Conversation Playbooks
Summarize Text using SQL and LLMs in BigQuery ML
Use Vertex AI Studio for Healthcare
INTERMEDIATE
Using Gemini for Multimodal Retail Recommendations
Deploy a Web App (Streamlit) Integrated with Gemini Pro on Cloud Run
Getting Started with the Vertex AI Gemini API and Python SDK
Generative AI for Video Analytics with Vertex AI
ADVANCED
Getting Started with Vector Search and Embeddings
Build a Knowledge Based System with Vertex AI Vector Search, LangChain and Gemini
Enhance Text Generation with RAG, LangChain, and Vertex AI
Other Resources
Google AI for Devs
- One stop shop for Dev resources
AI Studio
and
Vertex AI Studio
- Your first stops to start building AI applications
Colab
and
Colab Enterprise
- Notebooks env for Experimenting and Data Analytics
Firebase
- App Development platform