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

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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

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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
• Status: Work in Progress (WIP)

Tutorial 5B: Mega Pipeline App

• 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: Label Studio

• Lecture: L06
• Description: Learn how to use Label Studio for data labeling.
• GCP GitHub URL: Label Studio

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Tutorial 7: Versioning

• Lecture: L06
• Description: Learn about versioning practices in development.
• GCP GitHub URL: DVC

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Tutorial 8: LLM-RAG

• Lecture: L08
• Description: Building a RAG System with Vector DB and LLM
• GCP GitHub URL: LLM-1

Tutorial 9: LLM-Agents

• Lecture: L08
• Description: LLM Agents with Phidata
• GCP GitHub URL: LLM-Agents