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

Programming Fundamentals: Python and Object-Oriented Concepts

MATLAB Foundations for Diffractive Optics in Optical Engineering

Python Machine Learning: Environment Setup and Core Algorithms

Machine Learning and Data Visualization with Python for Beginners

Principal Component Analysis in Python and MATLAB

Managing Python Dependencies and Virtual Environments

Support Vector Machines with Scikit-Learn: Complex Decision Boundaries

Automating Training and Validation Splits in Keras

Keras Model Training: Custom Validation Data Workflows

Evaluating Keras Models with Python and Test Data

Pattern Matching in Elixir for Beginners

Python Object Identity: Understanding Memory and the id() Function

Python Warm-Up for Machine Learning

3D Modeling in Blender for Beginners: Project-Based Guide

Foundations of Python Operations and Data Structures

Python Control Flow: Conditions and Decision Making

Python Functions and Clean Code Fundamentals

Python Programming for Beginners with the Turtle Module

Python for Cybersecurity: Encryption and Threat Detection

Browser Automation and Testing with Python and Selenium

Practical Python Programming: From Foundations to Automation

Selenium WebDriver with Python: Web Test Automation for Beginners

Introduction to Artificial Intelligence with Python

Python Programming for Beginners: Step-by-Step Guide