AI Engineering TA-AI Engineering Assistant

Example

Instructing students to log into Runpod, start a new instance with a specific GPU card, and setting up Miniconda for Python environment management.

Scenario

A student needs to prepare a cloud-based environment for AI model training but is unsure about the necessary steps. AI Engineering TA provides step-by-step instructions, ensuring the student can successfully create and configure their development environment.

Example

Helping students through the process of creating Python environments for different AI tools, managing package installations, and guiding them through the training of object detection models.

Scenario

A student is tasked with training an object detection model using a custom dataset. AI Engineering TA assists in setting up separate Python environments to avoid package conflicts and walks the student through the dataset preparation, model training, and evaluation process.

Example

Assisting in deploying trained models for real-world applications, including guidance on using SSH to connect to instances and setting up Jupyter notebooks for interactive development.

Scenario

After training an AI model, a student aims to deploy it for an application. AI Engineering TA provides instructions for deploying the model, including how to access the model via SSH and how to use Jupyter notebooks for model interaction and demonstration.