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what course can teach how to make an AI app

i want it to be for Agriculture for my country

9th Sep 2025, 11:43 AM
Humphrey Patrick Bogere
Humphrey Patrick Bogere - avatar
4 ответов
+ 1
You can use the internet, but I think sololearn didn't have something
9th Sep 2025, 1:27 PM
Roman Koerdt
Roman Koerdt - avatar
9th Sep 2025, 3:54 PM
Roman Koerdt
Roman Koerdt - avatar
+ 1
AI for agriculture is a growing and very impactful field (crop health monitoring, yield prediction, soil analysis, pest detection, irrigation optimization). - Course Path to Build an AI App for Agriculture Intermediate Python: Make sure you know OOP, modules, exceptions, data handling. Machine Learning Basics: Learn regression, classification, clustering with scikit-learn. Recommended: Coursera – Andrew Ng’s Machine Learning Specialization or Google ML Crash Course. Deep Learning: Learn neural networks, especially CNNs for image-based agriculture problems. Recommended: fast.ai Practical Deep Learning (free) or DeepLearning.AI TensorFlow Specialization. Agriculture Applications: Focus on crop disease detection, yield prediction, soil analysis. Use datasets (like PlantVillage) for practice. App Development & Deployment: Start with a Streamlit or Flask web app. Later, move to mobile deployment with TensorFlow Lite or PyTorch Mobile. - Example Project: AI Crop Doctor App: Farmer takes a picture → AI detects crop disease → app suggests solution. Roadmap: Python → ML → Deep Learning → Agriculture project → Deploy as web/mobile app.
10th Sep 2025, 6:25 PM
Riyadh JS
Riyadh JS - avatar
0
Well if you plan on doing something like chat got you Will not need much code but a lot of money for the program since the AI runs off years of Training and not coding
11th Sep 2025, 2:46 AM
Andreas Nick