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AI for Agriculture (Registration is open) (Course period: 12th May to 3rd June)

Intel via SWAYAM Plus

Overview

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In the era of technological innovation, harnessing the power of Artificial Intelligence (AI) can prove useful in addressing critical challenges in agriculture.

This course equips learners with the foundational knowledge necessary to comprehend how AI operates and can be appropriately applied to develop agricultural solutions. It explores real-world applications of AI in agriculture, including Statistical Data Analysis, Computer Vision (CV), Natural Language Processing (NLP), and Generative AI.

By discussing AI's ethical considerations and limitations, the course also aims to enable learners to navigate this technology responsibly.

(Course timing: Monday to Friday - 04:00 PM - 06:00 PM

Intended audience

NA

Prerequisites

  • Students enrolled in a higher education institute with basic digital literacy, foundational mathematics and statistics

Assessment & certification

  • Assessment fee: Included — no extra fee
  • Assessment mode: Online
  • Assessment type: MCQ
  • Assessment provider: Intel
  • Certificate provider: NA

Syllabus

  • Week 1: Introduction to AI for Agriculture
  • Week 2: Problem Scoping for Agriculture
  • Week 3: Working with Data for Agriculture
  • Week 4: Modeling Evaluation, and Deployment for Agriculture
  • Week 5: Statistical Data in Agriculture
  • Week 6: Computer Vision (CV) in Agriculture
  • Week 7: Natural Language Processing (NLP) in Agriculture
  • Week 8: Project Development

Taught by

Multiple instructors with PG/ PhD experience in AI, Data Science, ML

Reviews

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