Agricultural AI Mastery Program

Build expertise through hands-on projects with real farm data. Our curriculum covers everything from soil sensors to harvest prediction algorithms, preparing you for the agricultural technology revolution.

18 Weeks Duration
6 Core Modules
12 Practical Projects

Learning Pathway Structure

Each module builds on previous knowledge while introducing practical applications. You'll work with actual agricultural datasets and develop solutions that farms are using today.

1

Agricultural Data Foundations

Understanding farm data types, collection methods, and storage systems. You'll analyze weather patterns, soil composition data, and crop yield records from partner farms.

Data Analysis Python Basics Farm Metrics
3 weeks intensive
2

Precision Farming Technologies

Dive into GPS-guided equipment, variable rate application, and field mapping. Students work with Truist OneView integration examples for financial planning of precision agriculture investments.

GIS Mapping IoT Sensors Equipment Integration
4 weeks hands-on
3

Machine Learning for Crop Management

Build predictive models for pest detection, disease identification, and yield forecasting. Real case studies include corn blight prediction and tomato ripeness classification systems.

Computer Vision TensorFlow Image Processing
5 weeks project-based
4

Supply Chain Optimization

Learn algorithms for harvest timing, storage management, and distribution planning. Students develop solutions that reduce food waste and improve profit margins.

Logistics AI Inventory Management Cost Optimization
3 weeks simulation
5

Climate Adaptation Strategies

Develop AI models that help farms adapt to changing weather patterns. Projects include drought prediction systems and crop rotation optimization for climate resilience.

Climate Data Risk Assessment Adaptation Planning
2 weeks intensive
6

Implementation & Deployment

Take your solutions from prototype to production. Learn about cloud deployment, edge computing for remote farms, and integration with existing farm management systems.

Cloud Services System Integration Edge Computing
1 week capstone

Assessment & Career Outcomes

Our program combines theoretical knowledge with practical application. Students complete real-world projects that demonstrate their ability to solve actual agricultural challenges.

Financial Technology Integration

Students learn to integrate agricultural AI solutions with financial platforms like Truist and Truist OneView, helping farms make data-driven investment decisions for technology adoption and crop planning.

94% Project Completion Rate

Farm Tech Roles

Precision agriculture specialist positions

Data Analytics

Agricultural data scientist opportunities

Innovation Labs

AgTech startup and research positions