Avoxi Workshop

Resources & Material:

Day 1:

• Getting Started with Gemini (Python)
• Getting Started with Gemini
• Vertex AI Python SDK Gemini Docs
• Getting Started with BigQuery Datasets
• BigQuery Local Training via PySpark
• Get Started with Vertex AI Training LightGBM
• TensorFlow Serving Functions with Raw Predictions
• Workbench Executor
• Gemini API Prompting Quickstart
• Anomaly Detection in Security Logs with BQML
• Intro to Kubeflow
• End-to-End Journey for Each Model
• Mixture of Agents
• Google Maps API Agent via Reasoning Engine
• Tutorial on Anomaly Detection via Autoencoders

Day 2:

• OneTwo - Python Library for Improving LLM Prompting Strategies
• Anthropic - How to Prompt

Day 3:

• BQML & AutoML Rapid Prototyping

Day 4:

• Local Executions in Kubeflow
• TPU Model Training
• Metrics Visualization and Comparison
• Fraud Detection
• Custom Training
• Fine-Tuning Gemini
• Training Model to Predict Corporate Acquisitions
• Track Artifacts & Metrics Across Vertex AI
• Cell Tower Anomaly Detection Using Dataproc Serverless
• BQMLOps with Dataproc Serverless
• BQMLOps with Dataproc Cluster
• Vertex AI Hyperparameter Tuning XGBoost
• Training TensorFlow Model on BigQuery Data

Additional Resources:

• Hugging Face - Repository for Building Machine Learning Models
• Papers with Code - State-of-the-Art Research Papers on Machine Learning & Datasets
• Octopus-v4 by Nexus AI: Demonstration of an MoA

Clone Repositories:

git clone https://github.com/GoogleCloudPlatform/vertex-ai-samples.git

git clone https://github.com/google-gemini/cookbook.git