Master cutting-edge AI and machine learning techniques for digital agriculture with problem-focused, tool-oriented courses.
Credential Type
Graduate Certificate
Cost (2024)
$9,060
Delivery Format
Online
Program Length
12 Credit Hours
Enrollment
Fall or Spring
Eligibility Criteria
Bachelor's degree required
Benefit 1
Gain specialized knowledge in AI and machine learning techniques tailored for digital agriculture applications.
Benefit 2
Enhance your ability to solve complex agricultural problems using the latest AI tools and methodologies, making you a valuable asset in the industry.
Benefit 3
Expand your career opportunities in the growing field of digital agriculture by mastering the integration of technology and data-driven solutions.
Overview
This certificate is for agriculture, data science, and professionals in related fields.
It empowers you to explore courses on artificial intelligence and machine learning for digital agriculture, enhancing your expertise and technical skills in applying advanced technologies to real-world agricultural challenges.
Skills You Will Learn
Upon completing this certificate, you will:
- Master various machine learning techniques, including regression, classification, clustering, and resampling.
- Gain in-depth knowledge in neural networks, deep networks, and hidden Markov models.
- Develop proficiency in handling large datasets and applying diverse machine learning methods.
- Learn to use regression and classification techniques to make accurate predictions.
- Apply machine learning techniques to real-world signal problems, enhancing problem-solving skills.
- Understand and use model selection methods like AIC, stepwise selection, the lasso, and manage missing variables effectively.
- Acquire skills in machine vision, focusing on applications in agriculture and industry.
Build Skills that Matter
Gain the knowledge and practical experience needed to excel in your field and create meaningful impact.
Course Details
To earn this certificate, you'll complete the following:
The Artificial Intelligence and Machine Learning for Digital Agriculture Certificate is a 12-credit hour program.
Required Courses:
- CS 441 Applied Machine Learning (4 hours)
- ABE 498 Machine Vision for Agricultural and Industrial Applications (4 hours)
Pick at least 4hrs:
- CS 598 Practical Statistical Learning (4 hours)
- ABE 526 Autonomous Decision Making (4 hours)
- CS 410 Text Information Systems (4 hours)
- ABE 498 Understanding Human Impact of A.I. (2 hours)
How to Enroll
Applying for this Certificate
To apply for a graduate certificate program, you'll need to start an online application through the University of Illinois Graduate College.
The following items are required for your application:
- Bachelor’s degree: Unofficial transcripts are acceptable. A grade point average (GPA) of 3.0 (A=4.0), or comparable GPA for an international applicant, for the last two years of undergraduate study is a minimum requirement for admission.
- Professional resume: This should include personal information (name, address, telephone number, and email address), academic background, work experience (start and end dates for each position and a brief description of responsibilities), educational training, professional associations, and leadership experiences. Please limit your resume to two pages.
- English proficiency scores (international students only): If you are a non-native English speaker, you must upload your TOEFL or IELTS scores directly to your application. Review the Graduate College’s English proficiency requirements for more details on possible exemptions.
Receiving your Certificate
For all students, after courses are completed, confirm your completion of the requirements.
Explore ACES Online
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