layout | title | description | nav_order |
---|---|---|---|
page |
Tutorials / Demo |
Listing of Tutorials / Demo. |
2 |
- 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
- 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
- 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
- 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
- Lecture: L04
- Description: Build a Mega Pipeline App.
- GCP GitHub URL: Mega Pipeline App
- Status: Work in Progress (WIP)
- Lecture: L05
- Description: Build a Mega Pipeline App with Flexible Workflow.
- GCP GitHub URL: Mega Pipeline App (Flexible Workflow)
- Lecture: L06
- Description: Learn how to use Label Studio for data labeling.
- GCP GitHub URL: Label Studio
- Lecture: L06
- Description: Learn about versioning practices in development.
- GCP GitHub URL: DVC
- Lecture: L08
- Description: Building a RAG System with Vector DB and LLM
- GCP GitHub URL: LLM-1
- Lecture: L08
- Description: LLM Agents with Phidata (Notebook)
- Colab Notebook: LLM-Agents
- Lecture: L08
- Description: LLM Agents
- GCP GitHub URL: LLM-Agents
- Lecture: L09
- Description: LLM Fine Tuning
- GCP GitHub URL: LLM Fine Tuning
- Lecture: L11
- Description: Model Compression and Distillation
- Colab Notebook: Model Compression and Distillation
- Lecture: L12
- Description: Classification Model, Experiment Tracking Colab Notebook A: Cheese Classification Models Colab Notebook B: Experiment Tracking with WANDB
- Lecture: L12
- Description: Advanced Training Workflows
- GCP GitHub URL: Serverless Model Training
- Lecture: L13
- Description: Cloud Function and Cloud Run
- GCP GitHub URL: Cloud Function, Cloud Run