8 Best Generative AI on Google Cloud Alternatives in 2026 (Open Source)

Generative AI on Google Cloud — Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI. Google's official sample repository for Generative AI on Google Cloud — the most comprehensive collection of Gemini, Imagen, and Vertex AI notebooks, unlike third-party tutorials it's maintained by Google and always reflects latest APIs

These 8 open-source tools do the same job. They are ordered by how closely they match Generative AI on Google Cloud, with live GitHub data so you can see which projects are actively maintained.

1. 1. Large-Language-Model-Notebooks-Course

   Practical course about Large Language Models.

   What sets it apart: Comprehensive free hands-on LLM course with 30+ Jupyter notebooks covering the full stack from prompting to fine-tuning to enterprise architecture — backed by an Apress published book for deeper coverage

   Best for: Developers learning LLM application development through hands-on practice; Engineers wanting structured progression from basics to enterprise patterns

   ⭐ 1.8kGenerative AI on Google Cloud vs Large-Language-Model-Notebooks-Course →Full profile →

2. 2. GenAI_Agents

   This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI s

   What sets it apart: vs single-framework tutorials: comprehensive cross-framework collection covering 45+ agent architectures with step-by-step notebooks

   Best for: Learning GenAI agent architectures from scratch; Exploring diverse agent patterns (multi-agent, memory, tools)

   ⭐ 24.4kGenerative AI on Google Cloud vs GenAI_Agents →Full profile →

3. 3. Hands-On-LangChain-for-LLM-Applications-Development

   Practical LangChain tutorials for LLM applications development

   What sets it apart: Curated collection of practical LangChain tutorials for LLM application development, organized from beginner to advanced topics

   Best for: learning-langchain-practically; building-first-llm-apps; understanding-rag-and-chatbots

   ⭐ 239Generative AI on Google Cloud vs Hands-On-LangChain-for-LLM-Applications-Development →Full profile →

4. 4. Hugging Face Diffusion Models Course

   Materials for the Hugging Face Diffusion Models Course

   What sets it apart: Official Hugging Face free course teaching diffusion models from theory to practice with hands-on notebooks and community support

   Best for: learning-diffusion-models; hands-on-generative-ai-training; understanding-stable-diffusion

   ⭐ 4.4kGenerative AI on Google Cloud vs Hugging Face Diffusion Models Course →Full profile →

5. 5. bRAG-langchain

   Everything you need to know to build your own RAG application

   What sets it apart: Comprehensive hands-on RAG tutorial series covering basic to advanced techniques including multi-query, routing, re-ranking, and ColBERT integration

   Best for: learning-rag-from-scratch; hands-on-advanced-rag-techniques; building-custom-rag-chatbots

   ⭐ 4.2kGenerative AI on Google Cloud vs bRAG-langchain →Full profile →

6. 6. LangChain

   Reference implementations of several LangChain agents as Streamlit apps

   What sets it apart: vs building from scratch: official LangChain reference implementations with Streamlit callbacks, memory management, and LangSmith observability — pre-built patterns for 5+ agent types (search, docs, SQL, dataframes)

   Best for: Learning LangChain + Streamlit integration patterns; Building chatbots with web search, document Q&A, or database access; Rapid prototyping of conversational data analysis tools

   ⭐ 1.6kGenerative AI on Google Cloud vs LangChain →Full profile →

7. 7. Gemini Fullstack LangGraph Quickstart

   Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

   Best for: Developers learning LangGraph-based agent architecture; Teams building research-augmented AI applications with source citations; Google Gemini ecosystem developers seeking fullstack reference implementation

   ⭐ 18.3kGenerative AI on Google Cloud vs Gemini Fullstack LangGraph Quickstart →Full profile →

8. 8. Anthropic courses

   Anthropic's educational courses

   What sets it apart: vs generic prompt engineering guides: official Anthropic courses with hands-on Claude API exercises, covering fundamentals through production evaluation

   Best for: Developers learning Anthropic Claude API from scratch; Teams establishing prompt engineering best practices

   ⭐ 22.9kGenerative AI on Google Cloud vs Anthropic courses →Full profile →