【Complete Edition】gpt-oss 20B / Gemma 3n Series Fine-tuning

What you'll learn
Fine-tune GPT-OSS 20b / Gemma 3n 4b / Gemma 3n 270m using your own dataset (hands-on)
Master Core Concepts of GPT-OSS: Gain a deep understanding of cutting-edge models like gpt-oss 20B and the Gemma 3N series, including their unique architectures
Implement Parameter-Efficient Fine-Tuning (PEFT)
Leverage Unsloth for Peak Performance
Execute Advanced Data Preparation
HuggingFace TRL SFTTrainer
Adapt Models to Specialized Domains
Control AI "Reasoning Effort" of gpt-oss
Work with Multimodal Inputs using Gemma 3n
Run Efficient Inference with Unsloth
Save and Prepare Models for Deployment
Requirements
Primary Requirement: A Computer with an Internet Connection
Google Account
A Desire to Learn generative AI
Basic Python Programming(Beneficial, Not Required)
Familiarity with AI Concepts (Beneficial, Not Required)
Description
【Complete Edition】gpt-oss 20B / Gemma 3n Series Fine-tuning Masterclass Master Next-Gen LLM Development from Zero with Google ColabThe 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 16-24GB 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, 16GB): Inference, demos, basic fine-tuning.Pro Colab (L4 GPU, 24GB): 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.Investment:Beginner: Free Colab - Inference, basic.Professional: Pro Colab $9.99/mo - Full training.Saves 99% vs. traditional costs.Who Should Take:Beginners, developers, researchers, data scientists, students, AI enthusiasts.Prerequisites:Basic Python (helpful).Google account.Curiosity.Not needed: Advanced math, ML experience, hardware, Pro subscription.Why Start Today?Zero-risk with free Colab.Master new models early.Immediate insights.Top skill in tech.Learning Journey:Week 1 (Free): Run 20B model, MoE, inference.Week 2: Fine-tuning, LoRA, multimodal.Week 3+: Full training, deployment.Instructor: Joshua K. CageLLM bestselling author.30,000+ students.AI education pioneer.Global: Students from 50+ countries. English materials, clear code.Start Now:Free: Open Colab, load notebooks, run LLM in 5 minutes.Pro: Upgrade for fine-tuning.Achievements:1 Hour: Run 20B model.1 Day: MoE/quantization.1 Week: First fine-tuning.1 Month: Production AI.No need for hardware, experience, degrees, budgets. Just this course, browser, curiosity.Join the AI RevolutionEnroll Now - Start TodayLifetime access, updates, certificate, 30-day guarantee. Transform your career. Start free.
Who this course is for
Passionate AI Hobbyists & Enthusiasts
Tech Entrepreneurs & Product Managers
AI Researchers & Data Scientists
AI/ML Engineers & Software Developers
Passionate about open-source LLMs? You're in the right place
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