tutorials_demo.md

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page	Tutorials / Demo	Listing of Tutorials / Demo.	2

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
• AWS GitHub URL: Work in Progress (WIP)

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: Label Studio

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

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Tutorial 7: Data Versioning

• Lecture: L06
• Description: Learn about versioning practices in development. Particularly, how to use DVC for data versioning.
• 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 (Notebook)
• Colab Notebook: LLM-Agents

Tutorial 10: LLM-Agents

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

Tutorial 11: LLM-Fine Tuning

• Lecture: L09
• Description: LLM Fine Tuning using PEFT
• GCP GitHub URL: LLM Fine Tuning

Tutorial 12: Model Compression and Distillation

• Lecture: L11
• Description: Model Compression and Distillation
• Colab Notebook: Model Compression and Distillation

Tutorial 13: Experiment Tracking

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

Tutorial 14: Advanced Workflow: Serveless Model Training with Vertex AI

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

Tutorial 15: Cloud Function and Cloud Run

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

Tutorial 16: Model Deployment using Vertex AI

• Lecture: L15
• Description: Model Deployment using Vertex AI
• GCP GitHub URL: Model Deployment

Tutorial 17: ML Workflow

• Lecture: L15
• Description: Vertex AI ML Workflow for pipeline. Data Processing, data collection, model training, model deployment.
• GCP GitHub URL: ML Workflow

Tutorial 18: Deploy LLM on VM

• Lecture: -
• Description: Deploy your own LLM on VM. These are the steps to deploy a LLM on VM with all the scripts and code.
• GCP GitHub URL: LLM on VM

Tutorial 19: CI/CD with GitHub Actions and other tools

• Lecture: L16
• Description: Simple CI
• GCP GitHub URL: Simple CI

Tutorial 20: LLM Finetuning Hooks

• Lecture: L16
• Description: LLM Finetuning Hooks A
• GCP GitHub URL: LLM Finetuning Hooks

Tutorial 21: LLM Finetuning Hooks

• Lecture: L16
• Description: LLM Finetuning Hooks B
• GCP GitHub URL: LLM Finetuning Hooks

Tutorial 22: Frontend and FastAPI

• Lecture: L17
• Description: Simple Frontend with FastAPI
• GCP GitHub URL: App v1

Tutorial 23: Backend and FastAPI

• Lecture: L18
• Description: Cheese App APIs
• GCP GitHub URL: App v2: FastAPI Backend

Tutorial 24: Frontend Simple

• Lecture: L18
• Description: Frontend Simple
• GCP GitHub URL: App v2: Frontend Simple

Tutorial 25: Frontend React

• Lecture: L18
• Description: Frontend App (React)
• GCP GitHub URL: App v2: Frontend React

Tutorial 26: Deployment of the full app to GCP

• Lecture: L19
• Description: Deployment to GCP using Ansible. Manual steps to deploy the app to GCP and automate using Ansible.
• GCP GitHub URL: App v3: Deployment to GCP

Tutorial 27: Deployment with Scaling using Kubernetes

• Lecture: L20
• Description: Deployment with Scaling using Kubernetes
• GCP GitHub URL: App v3: Deployment with Scaling using Kubernetes

Tutorial 28: Continuous Integration and Continuous Deployment

• Lecture: L21
• Description: Continuous Integration and Continuous Deployment
• GCP GitHub URL: App v4: Continuous Integration and Continuous Deployment
• AWS GitHub URL: No K8s App: AWS - Continuous Integration and Continuous Deployment