In Class Tutorials / Demos for GCP (and AWS)

Tutorials are grouped by the lecture they accompany.

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Lecture 1

Ed lesson

Create Simple Translate App - No Docker, No Pipenv

• 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

Create Simple Translate App with Pipenv, No Docker

• 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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Lecture 2

Ed lesson

Create Simple Translate App with Docker, Push Image to Docker Hub

• 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

Run App in VM using Docker

• 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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Lecture 3

Ed lesson

LLM-RAG

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

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Lecture 4

Ed lesson

LLM-Agents (Phidata)

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

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Lecture 5

Ed lesson

LLM-Agents

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

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Lecture 6

Ed lesson

LLM-Fine Tuning

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

LLM Finetuning Hooks A

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

LLM Finetuning Hooks B

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

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Lecture 7

Ed lesson

Mega Pipeline App

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

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Lecture 8

Ed lesson

Mega Pipeline App with Flexible Workflow

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

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Lecture 9

Ed lesson

CI/CD with GitHub Actions and other tools

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

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Lecture 10

Ed lesson

Label Studio

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

Data Versioning

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

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Lecture 12

Ed lesson

Experiment Tracking

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

Advanced Workflow: Serverless Model Training with Vertex AI

• Description: Serverless Model Training with Vertex AI
• GCP GitHub URL: Serverless Model Training
• AWS GitHub URL: Coming Soon

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Lecture 13

Ed lesson

Cloud Function and Cloud Run

• Description: Cloud Function and Cloud Run
• GCP GitHub URL: Cloud Function, Cloud Run
• AWS GitHub URL: Coming Soon

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Lecture 14

Ed lesson

Model Deployment using Vertex AI

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

ML Workflow

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

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Lecture 17

Ed lesson

Frontend and FastAPI

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

Backend and FastAPI

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

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Lecture 18

Ed lesson

Frontend Simple

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

Frontend React

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

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Lecture 19

Ed lesson

Deployment of the full app to GCP

• Description: Deployment to GCP. Manual steps to deploy the app to GCP.
• GCP GitHub URL: App v3: Deployment to GCP

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Lecture 20

Ed lesson

Deployment with Scaling using Kubernetes

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

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Lecture 21

Ed lesson

Continuous Integration and Continuous Deployment

• 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

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Not Yet Assigned to a Lecture

Model Compression and Distillation

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

Deploy LLM on VM

• 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