YoVDO

Google Cloud Platform for Machine Learning Essential Training

Offered By: LinkedIn Learning

Tags

Vertex AI Courses Machine Learning Courses Cloud Computing Courses TensorFlow Courses Vector Search Courses Generative AI Courses Model Deployment Courses

Course Description

Overview

Learn how to design machine learning solutions with Google Cloud Platform.

Syllabus

Introduction
  • GCP and Machine Learning
  • What you should know
  • About using cloud services
1. Vertex AI Studio
  • Use Vertex AI Model Garden
  • Design and test language model prompts
  • Design and test multimodal model prompts
  • Test image model generative output
  • Design and test speech generative output
  • Challenge: Select and test GenAI models
  • Solution: Select and test GenAI models
2. Vertex AI Notebooks
  • Understand available services
  • Use TensorFlow example: MNIST
  • Use managed and user-managed notebooks
  • Update notebook instance
  • Use notebook instances
  • Challenge: Setup notebook
  • Solution: Setup notebook
3. Model Development
  • Understand Vector Search
  • Use Vector Search
  • Understand Feature Store
  • Challenge: Create a Feature Store
  • Solution: Create a Feature Store
4. Model Deployment
  • Use the model registry
  • Register a model in the registry
  • Review batch and online endpoints
  • Understand model pipeline templates
  • Challenge: Run and evaluate a model pipeline job
  • Solution: Run and evaluate a model pipeline job
Conclusion
  • Next steps

Taught by

Lynn Langit

Related Courses

Answer Complex Questions From an Arbitrarily Large Set of Documents With Vector Search and GPT-3
David Shapiro ~ AI via YouTube
Advanced Sentiment Analysis with NLP Transformers and Vector Search
James Briggs via YouTube
GUI-Based Few Shot Classification Model Trainer - Demo
James Briggs via YouTube
Spotify's Podcast Search Explained
James Briggs via YouTube
HNSW for Vector Search Explained and Implemented with Faiss - Python
James Briggs via YouTube