mlops-zoomcamp

This repo contains all solutions and notes to MLOps zoomcamp.

Index

1. Introduction
2. Experiment tracking and model management
3. Workflow Orchestration
4. Model Deployment

Environment setup (EC2)

Launch an EC2 instance.

Change permissions of ssh file.

chmod 400 <key-file-name>

if doesn't exist, create a config file inside .ssh folder.

touch config

Then, add a configuration to avoid typing the same command to connect to the instance. Configuration looks as follows:

Host mlops-zoomcamp
    HostName <public-ip>
    User <ec2-user (amazon linux) or ubuntu (ubuntu)>
    IdentityFile <identity file path>
    StrictHostKeyChecking no

Connect via ssh.

ssh mlops-zoomcamp

Download and install conda. Go to https://www.anaconda.com/products/distribution

wget https://repo.anaconda.com/archive/Anaconda3-2022.05-Linux-x86_64.sh
bash <name of file>

Clone repo:

git clone <https repo url>

Create and activate environment:

conda env create -f environment.yaml
conda activate mlops-zoomcamp

To interact with the repo inside the EC2 instance using vscode, Remote - SSH plugin can be used.

To interact with jupyter notebook:

• Configure security group.
• In vscode configure the port mapping.

Environment setup (Local)

conda env create -f environment.yaml
conda activate mlops-zoomcamp