Udemy – Complete Edition gpt-oss 20B / Gemma 3n Series Fine-tuning

The AI Revolution is Here – And It’s AccessibleMyth: You need expensive hardware for Large Language Models. Not anymore.This comprehensive course covers fine-tuning OpenAI’s open-source gpt-oss 20B and Google’s Gemma 3n series (4B/270M). Start free with Google Colab; upgrade to Pro ($9.99/month) for advanced features.Why This Course?

Three Models in One Course:

• gpt-oss 20B: OpenAI’s open-source model. Apache 2.0 licensed. 32-expert MoE architecture. Adjustable reasoning. Runs on 16-24 GB VRAM.
• Gemma 3n 4B: Multimodal with vision, audio, and cross-modal reasoning. Production-ready.
• Gemma 3n 270M: Efficient for edge devices. Great for prototyping.

Accessibility:

• Free Colab (T4 GPU, 16 GB): Inference, demos, basic fine-tuning.
• Pro Colab (L4 GPU, 24 GB): Full fine-tuning, optimization.

Learn 80% without spending.100% Verified:Notebooks tested August 19, 2025. Works on Free/Pro. Troubleshooting included.Curriculum (8 Modules):

• Introduction & Setup: Architectures, Colab setup, Unsloth.
• Technical Deep Dive: MoE, MXFP4 quantization, reasoning controls.
• gpt-oss 20B: Loading, LoRA fine-tuning, multi-language, memory optimization.
• Gemma 3n 4B: Multimodal preprocessing, alignment, integration.
• Gemma 3n 270M: Efficient fine-tuning, edge deployment.
• Advanced Techniques: Datasets, formatting, SFTTrainer, tuning.
• Applications: Problem solver, customer service, assistants.
• Troubleshooting: VRAM, convergence, optimization.

Real Results:

• Customer Bot: 42% to 89% accuracy.
• Summarization: 0.41 to 0.68 ROUGE.
• Q&A: 65% to 93% resolution.
• API Savings: $30,000 to $3,000/month.