PickAClass · AI Applications (Interdisciplinary) · AI for Agriculture (AgriTech)

Automated Pest & Disease Detection

Build and deploy computer vision models to automatically detect and identify pests, weeds, and diseases from images, enabling early intervention and targeted treatments.

Automated Pest & Disease Detection

Python Object State: Managing Lifecycle and Transitions

Practical CVAT for Image and Video Annotation

Build a Python Performance Timer with Context Managers

JAX and Flax for Distributed Image Classification

Practical Python Benchmarking

Python Descriptors: Implement the __set__ Method

Accurate Facial Recognition with Python Face Encodings

Support Vector Machines: A Beginner's Guide

Python Facial Analysis: Digital Eyebrow Reshaping

Support Vector Machines: Understand Kernels and Parameters

Load and Performance Testing Fundamentals with Python and Pytest

Python Pickle for Object Serialization

Deploy Image Classification Models with FastAPI and PyTorch

Python Object Identity & Equality: Data Validation Basics

Multiclass SVM with Scikit-learn in Python

PDF417 Barcodes: Generation and Decoding with Python

Python Introspection for Dynamic Object Updates

Python OOP: Build a Fleet Tracking System

Python Inventory Validation with Custom Exceptions

Serving ONNX Models for Image Classification

Building a Scalable Support Model for Slack

Introduction to Feature Flagging with OpenFeature

Python from Scratch: Programming to Data Management

Python Programming Foundations for the Internet of Things

Python Descriptors: Implement the set Method