How to Train Models on Vertex AI Part 2 AutoML, Custom Training & GenAI
Welcome back to our Vertex AI Masterclass! In Part 1, you learned why Vertex AI is a unified MLOps platform. In Part 2, we show you how to train your models.
This video is a complete guide to the three core training methods available in Google's Vertex AI:
1. *AutoML (The "No-Code" Path):* Use a simple UI to train high-quality models with minimal effort.
2. *Custom Training (The "Expert" Path):* Get full control and flexibility by running your own TensorFlow, PyTorch, or Scikit-learn code in managed containers.
3. *Model Garden (The "GenAI" Path):* Access and tune powerful foundation models like PaLM, Llama, and Claude using Prompt-Tuning and Fine-Tuning.
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➡️ VERTEX AI MASTERCLASS SERIES
*Part 1: What is Vertex AI? (The Unified Platform):* [Link to Part 1]
*Part 2: How to Train Models (You are here)*
*Part 3: [Link to Part 3]*
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KEY MOMENTS (CHAPTERS)
0:00 - Intro: The 3 Training Paths
0:54 - Path 1: No-Code with AutoML
1:53 - Path 2: Full Control with Custom Training
2:56 - Path 3: Generative AI & The Model Garden
3:25 - Prompt Tuning vs. Fine-Tuning
4:20 - Conclusion: Your Unified Training Ecosystem
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