In Class Tutorials / Demos for GCP (and AWS)

Tutorial 1: Create Simple Translate App - No Docker, No Pipenv

• Lecture: L02
• Description: A simple translation app built without using Docker or Pipenv.
• GCP GitHub URL: Install App on VM Manually (T1)
• AWS GitHub URL: Install App on VM Manually (T1) - AWS

Tutorial 2: Create Simple Translate App with Pipenv, No Docker

• Lecture: L02
• Description: A translation app using Pipenv, without Docker.
• GCP GitHub URL: Install App on VM using Pipenv (T2)
• AWS GitHub URL: Install App on VM using Pipenv (T2) - AWS

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Tutorial 3: Create Simple Translate App with Docker, Push Image to Docker Hub

• Lecture: L03
• Description: Build a simple translation app, containerize it with Docker, and push the image to Docker Hub.
• GCP GitHub URL: Develop App using Containers (T3)
• AWS GitHub URL: Develop App using Containers (T3) - AWS

Tutorial 4: Run App in VM using Docker

• Lecture: L03
• Description: A continuation of the Docker tutorial, running the containerized app in a VM.
• GCP GitHub URL: Run App on VM using Docker (T4)
• AWS GitHub URL: Run App on VM using Docker (T4) - AWS

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Tutorial 5: Mega Pipeline App

• Lecture: L04
• Description: Build a Mega Pipeline App.
• GCP GitHub URL: Mega Pipeline App
• AWS GitHub URL: Mega Pipeline App

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Tutorial 5B: Mega Pipeline App with Flexible Workflow

• Lecture: L05
• Description: Build a Mega Pipeline App with Flexible Workflow.
• GCP GitHub URL: Mega Pipeline App (Flexible Workflow)

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Tutorial 6: LLM-RAG

• Lecture: L09
• Description: Building a RAG System with Vector DB and LLM
• GCP GitHub URL: LLM-1

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Tutorial 7: LLM-Agents

• Lecture: L10
• Description: LLM Agents with Phidata (Notebook)
• Colab Notebook: LLM-Agents

Tutorial 8: LLM-Agents

• Lecture: L10
• Description: LLM Agents
• GCP GitHub URL: LLM-Agents

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Tutorial 9: LLM-Fine Tuning

• Lecture: L11
• Description: LLM Fine Tuning using PEFT
• GCP GitHub URL: LLM Fine Tuning

Tutorial 10: Model Compression and Distillation

• Lecture: []
• Description: Model Compression and Distillation
• Colab Notebook: [Model Compression and Distillation]

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Tutorial 11: Experiment Tracking

• Lecture: L12
• Description: Classification Model, Experiment Tracking
• Colab Notebook A: Cheese Classification Models
• Colab Notebook B: Experiment Tracking with W&B

Tutorial 12: Advanced Workflow: Serveless Model Training with Vertex AI

• Lecture: L12
• Description: Serveless Model Training with Vertex AI
• GCP GitHub URL: Serverless Model Training

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Tutorial 13: Cloud Function and Cloud Run

• Lecture: L13
• Description: Cloud Function and Cloud Run
• GCP GitHub URL: Cloud Function, Cloud Run

Tutorial 14: Label Studio

• Lecture: 13b
• Description: Learn how to use Label Studio for data labeling.
• GitHub URL: Label Studio [GCP and AWS]

Tutorial 15: Data Versioning

• Lecture: 13b
• Description: Learn about versioning practices in development. Particularly, how to use DVC for data versioning.
• GCP GitHub URL: DVC

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