Google Gemma Masterclass: Deployment, Fine-Tuning & Agent Integration
Master Google Gemma open-weight models from scratch — covering local deployment, Ollama inference, LoRA fine-tuning, multimodal applications, and deep integration with AI Agent toolchains like Hermes Agent.
CURRICULUM MODULES
COURSE CONTENT
01
Meet Gemma: The Google Open-Weight Model Family
[9 MINS // READ →]
02
Local Deployment: One-Click Setup with Ollama + Gemma
[20 MINS // READ →]
03
Inference with Hugging Face Transformers
[20 MINS // READ →]
04
Cloud Deployment on Google Cloud Vertex AI
[20 MINS // READ →]
05
Unlocking Multimodal: Image Understanding & Visual QA
[11 MINS // READ →]
06
128K Context Window: Document Analysis & Code Review
[20 MINS // READ →]
07
Function Calling & Structured Output
[16 MINS // READ →]
08
LoRA Fine-Tuning with PEFT: Build Your Custom Gemma
[11 MINS // READ →]
09
QLoRA 4-bit Fine-Tuning on Consumer GPUs
[20 MINS // READ →]
10
Native JAX/Flax Fine-Tuning (Official Path)
[20 MINS // READ →]
11
Evaluation & Model Export After Fine-Tuning
[20 MINS // READ →]
12
Gemma + Hermes Agent: Full-Stack Local AI Agent
[20 MINS // READ →]
13
Gemma + LangChain/LlamaIndex: Building RAG Applications
[20 MINS // READ →]
14
Gemma + vLLM: High-Performance Inference Server
[20 MINS // READ →]
15
Capstone: Build Your Private AI Assistant Product
[11 MINS // READ →]