Building Apps with Fine-tuned LLMs Using Google Vertex AI and Generative AI Studio

Overview

Discover how to build AI-powered apps using Vertex AI's Generative Studio - fine-tune LLMs on enterprise data, deploy models, and create applications without coding while exploring new career opportunities.

Syllabus

• Introduction to Vertex AI and Generative AI Studio
Overview of Google Vertex AI
Introduction to Generative AI Studio
• Fundamentals of Large Language Models (LLMs)
What are LLMs?
Benefits and use cases of LLMs
Basic concepts in natural language processing
• Data Preparation for Fine-tuning
Understanding enterprise data
Data collection and preprocessing
Data privacy and security considerations
• Fine-tuning LLMs with Vertex AI
Steps to fine-tune models in Generative AI Studio
Best practices for model customization
Leveraging pre-trained models
• Deploying Models on Vertex AI
Model deployment processes
Managing model versions and updates
Monitoring model performance
• Building No-Code Applications with Generative AI Studio
Introduction to no-code development
Integrating LLMs into applications
Creating interactive user interfaces
• Exploring Use Cases and Career Opportunities
Case studies of AI-powered applications
Emerging roles in AI and app development
Staying current with AI innovations
• Final Project: Building Your Own AI-powered Application
Selecting a project focus area
Applying the skills learned in the course
Presenting and evaluating projects
• Course Conclusion and Next Steps
Recap of key concepts and skills
Additional resources and learning pathways
Opportunities for further specialization in AI and LLMs

Subjects

Programming