Artificial Intelligence

Agricultural and Life Sciences

The AI Agricultural and Life Sciences Package is made up of the three courses listed below. Click the register button to sign up for the 1hr, 4hr or 15hr course.

If you’re interested in learning more about how to receive a micro-credential, click here.

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Focus Area

Agriculture and Life Sciences

There Are 3 Courses Available in This Package

1hr
Course

Intro to AI in Agricultural and Life Sciences


FREE Asynchronous

Artificial intelligence (AI) is used to solve problems in research and industry. This course provides students with an introduction to the concepts and techniques used to build and using AI systems. Students will obtain the knowledge they need to understand how AI is used to solve real-world agricultural and life sciences problems.

By the end of this course, students will be able to:

Demonstrate a basic understanding of modern AI and the history of AI development.

Identify emerging applications of AI in the agricultural and life sciences fields.

4hr
Course

Survey of AI in Agricultural and Life Sciences


249 Asynchronous Course Completion Certificate 0.4 CEUs

Artificial intelligence (AI) is used to solve problems in research and industry. This course provides students with an introduction to the concepts and tools used to build and using AI systems. Students will obtain the skills and knowledge they need to understand how AI is used to solve real-world agricultural and life sciences problems.

After successfully completing this course, you will earn .4 CEU as well as a certificate of completion.

By the end of this course, students will be able to:

Use Google Colaboratory (Google Colab) and Jupyter Notebooks to build and train neural networks.

Demonstrate a basic understanding of modern AI and the history of AI development, using correct vocabulary to describe the characteristics of neural networks.

Implement neural networks in TensorFlow.

Identify important applications of phenotype prediction in agricultural and life sciences.

15hr
Course

AI in Agricultural and Life Sciences


1095 HybridBadge Qualify for Micro-Credential 1.5 CEUs

Course Overview:

This is a hybrid 15-hour course. Learners will meet synchronously via Zoom and will have asynchronous activities. Learners will have eight weeks upon registration to complete the five modules which will require the students to complete at least three hours of work each week. At the end of the course, students will earn a badge for course completion. Learners will earn 1.5 continuing education units (CEUs).

Course Description:

Artificial intelligence (AI) is used to solve problems in research and industry. This course provides students with an understanding of and practical hands-on experience building and using AI systems. Students will obtain the skills and knowledge they need to use AI to solve real-world agricultural and life sciences problems.

By the end of this course, students will be able to:

Use Google Colaboratory (Google Colab) and Jupyter Notebooks to build and train neural networks.

Demonstrate a basic understanding of modern AI and the history of AI development, using correct vocabulary to describe the characteristics of neural networks.

Implement multi-neuron layers and multi-layer networks to build general nonlinear neural networks in TensorFlow.

Define overfitting and use AI vocabulary to describe how overfitting is evaluated in practice.

Diagnose model overfitting in TensorFlow using validation data, and implement and evaluate standard methods to mitigate overfitting in TensorFlow.

Identify important applications of phenotype prediction in agricultural and life sciences.

Meet The Instructor

Instructor Headshot

Bryan Kolaczkowski

SHOWCASE MASTERY WITH A MICRO-CREDENTIAL.