Certificate in AI for Environmental
Intelligence
An accessible on-ramp to AI and Earth observation through hands-on learning with real satellite data
Designed for Students, Professionals, and Motivated High School Learners Interested in AI and Environmental Intelligence
No Prior AI Experience Required
Stand Out in College Applications
A meaningful extracurricular that demonstrates initiative, technical skills, and real-world impact.
Structured, Project-Based Experience
A structured, project-based experience in AI and data science that demonstrates initiative beyond the classroom, with tangible outputs you can highlight in college and university applications.
Official UCI Certificate
Participants earn an official certificate that can be listed under "Honors/Awards" or "Activities", and referenced in applications, resumes, and scholarship materials.
Portfolio-Ready Deliverables
Build a set of polished products (mini-projects, visuals, short write-ups, or code notebooks) that can be shared as a portfolio or linked in job and college applications.
Talking Points for Essays & Interviews
Gain clear evidence of skills, curiosity, and real-world problem solving, making it easier to write compelling personal statements and discuss your impact in interviews.
Explore AI for Science & Engineering
This program is designed for motivated high school students who are curious about environmental science, sustainability, and the power of data to solve real problems. Through short lectures, guided coding exercises, case studies with real satellite imagery, and collaborative team projects, participants will understand how AI and Earth observation tools inform decisions on issues such as drought, wildfire, flooding, air quality, and ecosystem change.
Drought & Wildfire
Learn how AI and satellite data inform decisions on drought conditions and wildfire risks
Rainfall & Flooding
Understand how Earth observation tools help predict and respond to flooding events
Climate & Hazards
Monitor climate patterns and assess natural hazard risks using satellite data
Ecosystem Change
Track environmental changes and interpret satellite imagery for ecosystem monitoring
What Makes This Program Special
- Short lectures balanced with guided coding exercises
- Case studies with real satellite imagery
- Collaborative team projects with authentic datasets
- No prior AI experience required – Python taught in context
- Familiarity with basic algebra and comfort using a computer recommended
An accessible on-ramp to AI and Earth observation. Students will leave with practical skills, a portfolio-ready mini project, and a clearer sense of academic and career paths in environmental engineering, Earth system science, and data science.
GPM Satellite Live View
Explore the Global Precipitation Measurement satellite in real-time
Is This Program Right For You?
Ideal participants include undergraduate and graduate students interested in AI and environmental intelligence. We also welcome advanced students in grades 9 through 12 who enjoy science, engineering, or programming; have an interest in coding and problem solving; and are eager to work collaboratively in teams. Familiarity with basic algebra and comfort using a computer are recommended.
Environmental Enthusiasts
Students interested in environmental topics, sustainability, and the power of data to solve real problems.
Coding Beginners
Beginners in coding who want a structured, hands-on introduction to Python for data analysis. No prior AI experience required.
Science Fair & Capstone Seekers
Students seeking science fair or capstone projects who want to work with real satellite data and create portfolio-ready work.
Students with Limited STEM Access
Students from schools with limited STEM resources who want equitable access to modern tools and cutting-edge methods.
Future Leaders in Climate & Hazards
Future engineers, scientists, and civic leaders who want to understand climate and hazard risks through data-driven approaches.
Skills & Experiences You'll Take Away
More than just a course – a transformative experience that opens doors to STEM careers and environmental research.
Foundations in AI & Remote Sensing
Learn AI concepts applied to remote sensing and environmental monitoring, with hands-on experience analyzing authentic satellite datasets.
Authentic Satellite Data Analysis
Experience analyzing real satellite datasets and interpreting results to understand environmental patterns and changes.
Team-Based Project Work
Collaborate on team projects that can be showcased in applications and portfolios, simulating professional research environments.
UCI Mentorship & Academic Pathways
Learn from UCI professors and mentors, and discover academic pathways in GeoAI, Earth observation, and environmental engineering.
A Complete Learning Experience
Everything you need for an immersive, impactful online week led by UCI professors and researchers.
Portfolio Outcome
Each student completes a team project using real satellite data, suitable for showcasing in college applications, resumes, and scholarship materials.
Close Mentorship
Close interaction with UCI professors, researchers, and graduate students with a low student-to-mentor ratio for personalized guidance.
Accessible On-Ramp
No prior AI experience required. Python is taught in context with hands-on exercises and real-world applications.
Live Online Experience
Interactive online sessions led by UCI professors and researchers, with guided support, discussion, and collaborative project work.
Invest in Your Future
A live online week-long experience led by one of the nation's leading research universities.
Certificate in AI for Environmental Intelligence
One-Week Live Online Program
per student
- Short lectures with guided coding exercises
- Case studies with real satellite imagery
- Team-based project with authentic datasets
- UCI Samueli School of Engineering Certificate
- Low student-to-mentor ratio with UCI professors and researchers
- Parent & student session on college applications
- Live online instruction and mentoring with UCI professors and researchers
Payment processed securely through UC Irvine Division of Continuing Education