Artificial Intelligence: From Understanding to Innovation
The AI-driven future is already here—are you ready to lead it? You don’t need to be a coder to step into the builder’s seat. This course uncovers how AI is reshaping fields from medicine to the arts, while handing you the blueprint to innovate in any industry. Learn from experts as you build, test, and refine your own AI interaction through professional no-code platforms. Move from a casual user to a skilled creator and step forward as a leader in the digital landscape.
Program Dates
Multi-length sessions available throughout the year
Eligibility
For students ages 13 and up
Individual Course Fees
$1,895
From Machine Learning to Creative Strategy
The Mind of the Machine: AI vs. Software
Discover how AI learns to "think" from data rather than just following scripts. Investigate AI’s strengths and limitations in daily tech.
Cracking the Code: Train, Test, & Refine
Understand the difference between machine learning and traditional programming. Learn to evaluate and refine AI behavior for reliable, high-quality results.
From Patterns to Production
Uncover how AI predicts text through patterns. Practice using the right instructions to navigate these models, turning complex predictions into effective solutions for your work.
Engineering the Future of Medicine
Assess how AI assists human clinicians, from making clinical diagnoses to detecting mental health risk. Evaluate medical AI’s ability to detect patterns in routine images and support clinicians in life-saving situations.
Redefining the Creative Process
Determine the tools and ethics of the AI-driven creative revolution. Study cross-media AI applications and user responsibility when using generative tools within original work.
Future Builder Showcase
Build a real-world AI interaction using no-code tools. Apply your skills to a real-world issue by designing inputs, selecting models, and evaluating results.
How You Will Benefit
- Use professional, no-code tools to directly train, test, and evaluate your own AI models.
- Explore real-world applications of AI in fields like medical diagnosis, mental health support, and creative design.
- Learn to identify "hallucinations," hidden biases, and common failure points so you can responsibly evaluate the technology you use.
- Gain a clear perspective on the logic behind Large Language Models and Machine Learning, transforming you from a passive user into a strategic collaborator.
- Complete a Final Capstone Project to demonstrate what you’ve learned.
- Earn a Certificate of Completion from Dartmouth.
Three Learning Advantages Designed for You
Final Capstone Project
This course concludes with a final capstone project where you can:
- Develop a functional AI demo, mockup, or interaction that applies specific AI tools and systems to a practical, real-world scenario.
- Draft a written explanation detailing your technical design process and a reflection on the ethical implications of your chosen AI application.
Mentoring
Gain support from an expert mentor who’ll help answer questions and enrich your experience. Here’s what to expect:
- Expertise in the field of artificial intelligence.
- Encouragement and direction on all assignments.
- Inspiration, motivation and confidence to help you succeed.
- Brainstorming to help you prepare for your final capstone project.
Flexible Learning
- 100% online learning that works with your schedule.
- Enjoy flexible, engaging video lessons that you can watch whenever it’s convenient for you.
- Multiple courses can be taken to maximize your learning experience.
- 20 to 30 hours of total instruction and activities per course, including multimedia, simulations, and curated assignments for which you will receive guidance and support from mentors.
Apply Now for the Next Available Course
Course Designed by Dartmouth Instructors
Thomas Thesen, PhD
Associate Professor of Medical Education & Computer Science, Geisel School of Medicine at Dartmouth
Dr. Thesen received his PhD in Cognitive Neuroscience from Oxford University and completed a postdoctoral fellowship in brain imaging at the University of California, San Diego. He is the founder of the AI Patient Actor App, which uses Large-Language Models to help medical students hone their communication and diagnostic skills by simulating conversations with patients and providing immediate feedback on students’ performance. He is a co-director of the Neuroscience & Neurology and Medical Learning Sciences courses as well as director of the Artificial Intelligence & Digital Health Curriculum in the MD program at the Geisel School of Medicine, and a visiting scientist at the Brain & Mind Institute in Nairobi, Kenya.
How To Apply:
It’s easy. No transcripts or letters of recommendation are required. Just provide some basic information and tell us why you wish to take this program.
Note: Please submit all application materials in English.
Begin the guided application process. It should take only a few minutes of your time to answer the questions.
Want to Know More?
Sign up for more information and we’ll be in touch.
Admissions
Our application process is easy. You can expect a prompt decision.
Frequently Asked Questions
How will you be graded? What are assignments like? When do you find out if you're admitted? Find answers to your questions here.
Scholarships
We offer need-based scholarships for participating students who exhibit high potential and an inability to pay the full tuition.
- If you haven’t applied to the program, apply here. After submitting your application, click “Apply for a need-based scholarship” on the confirmation page to request a scholarship.
- If you’ve already applied to the program, sign in to your profile to check your scholarship status. If you don't have a scholarship request on file, click “Apply for a need-based scholarship” to request a scholarship.
