Identify a decision that better data could support

Agriculture & Sustainability
Apply AI, data, and digital systems to agriculture, sustainability, and rural enterprise.
Know why you are learning.
Practice with purpose.
Leave with a next step.
Courses are arranged as a recommended sequence, not a requirement. Start with the foundation if the topic is new, or choose the course that closes a specific gap. Progress here is a planning aid; provider completion and credential rules are separate.
Growers, rural entrepreneurs, extension learners, and sustainability-minded teams
Connect AI and digital tools to real agricultural and environmental decisions while accounting for cost, connectivity, data ownership, and local knowledge.
Compare technology benefits with access and resource costs
Plan a small test that includes the people doing the work

Digital Agriculture
Explore how AI, IoT, and analytics improve farming efficiency and sustainability.

Microsoft for Sustainability
Learn sustainability concepts and how AI-supported tools can improve strategy, data, and operational decisions.

Agripreneurship 101
Apply technology and entrepreneurial thinking to grow farm-based enterprises.

AI in Sustainable Agriculture
Understand AI’s opportunities, risks, and communication challenges in sustainable agriculture.

Digital4Sustainability Learning Path
Understand how digital solutions can advance environmental sustainability.

Introduction to Green Information Systems & Technologies
Learn how information systems, cloud computing, and AI can reduce—or increase—technology’s environmental impact.
Show what you can now explain, evaluate, or make.
Use this pathway to complete one small piece of evidence: identify a decision that better data could support; compare technology benefits with access and resource costs; plan a small test that includes the people doing the work. Document what you tried, what you checked, what changed, and the next question you still need to answer.