Generative AI from Basic to Advance - LLM Fine-Tuning 21: Google Gemini Fine-Tuning Masterclass using Vertex AI | Supervised Finetuning

Master Generative AI: From Basics to Breakthroughs in AI Models and RAG Systems

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26 learners

What you'll learn

Understand the evolution of generative AI from classical to modern techniques
Apply RAG and LangChain for building scalable AI applications
Implement end-to-end pipelines using LlamaIndex and LLM fine-tuning methods
Deploy AI models with CI/CD pipelines and container orchestration tools

This course includes

124.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

python programming generative ai langchain sunny savita rag LLM FineTuning FineTuning LargeLanguageModels HuggingFace Transformers DeepLearning MachineLearning Sunny Savita FInetuning

Full Transcript

In this video, we deep dive into LLM Fine-Tuning with Google Gemini on Vertex AI. You’ll learn what fine-tuning is, why it matters, and how Supervised Fine-Tuning (SFT) works in real-world enterprise use cases. We cover: What is LLM Fine-Tuning & why it’s useful Gemini fine-tuning approaches (Full vs Adapter vs SFT) Supported Gemini models (Gemini Pro, Flash, Flash-Lite) Dataset formats (JSONL) for text, image, audio, video & documents Preference Tuning vs Supervised Fine-Tuning Cost, pricing, limits & best practices Practical Gemini fine-tuning using Vertex AI Console & Python SDK This video is perfect for GenAI engineers, ML engineers, and LLM practitioners working on production-grade AI systems. 🚀 Learn how to fine-tune Gemini models correctly and avoid common mistakes. Tags / Keywords: Gemini Fine Tuning, Vertex AI, LLM Fine Tuning, Supervised Fine Tuning, Gemini Flash, Gemini Pro, Google Vertex AI, GenAI, Adapter Tuning, LoRA, ML Engineering Material & Resources: https://github.com/sunnysavita10/Complete-LLM-Finetuning/tree/main/LLM%20Fine-Tuning-21-GEMINI-Finetuning 🔔 Like, Share & Subscribe to stay updated with the full LLM fine-tuning playlist. Got questions or topic requests? Drop a comment below 👇. 📌 Keywords Covered: #LLMFineTuning #LLMQuantization #GPTQ #PTQ #QAT #AWQ #GGUF #GGML #llamaCpp #DeepLearning #NeuralNetworkOptimization #Transformers #HuggingFace #LangChain #LangGraph #RAG #AdvancedRAG #AIAgents #AgenticAI #GenerativeAI #LLMTutorial #AIProjects #AIForDevelopers #TransferLearning #FineTuning #PretrainedModels #OpenSourceAI #LLM #MachineLearning #ArtificialIntelligence #AITutorial #Python #Chatbot #StructuredOutput #PromptEngineering #TextGeneration #Embedding #LLMWorkflow #SunnyAI #YouTubeLearning #AIautomation #AIForBusiness #EndToEndTutorial #LLMFineTuning #DomainSpecificLLM #HuggingFace #SunnySavita #AIProjects #LangChain #FineTuningTutorial #AIML #LoRA #QLoRA #AITraining #CustomLLM #PDFData #preference alignment #rlhf #dpo #ppo #rewardmodel #llamafactory #lora #unsloth #axolotl #openai #openaiapi Multimodel RAG Playlist: https://www.youtube.com/watch?v=7CXJWnHI05w&list=PLQxDHpeGU14D6dm0rmAXhdLeLYlX2zk7p&pp=gAQBiAQB RAG detailed playlist: https://www.youtube.com/watch?v=wTVTkOb3SZc&list=PLQxDHpeGU14Blorx3Ps1eZJ4XvKET1_vx&pp=gAQBiAQB GenAI Foundation Playlist: https://www.youtube.com/watch?v=ajWheP8ZD70&list=PLQxDHpeGU14D7NiPgqxC9qhKkx4jMQcDk&pp=gAQBiAQB Connect with me on social media LinkedIn: https://www.linkedin.com/in/sunny-savita/ One-to-One Call: https://topmate.io/sunny_savita10 GitHub: https://github.com/sunnysavita10 Telegram: https://t.me/aimldlds