Starts November 9
Find business opportunities where biotech meets AI
Course AI Biotech
A course for beginners without a biology background. Learn how a scientific idea becomes a medicine and a company: from the first lab experiment to human trials, manufacturing, and the money for each next step.
Private Discord community
Practice, quizzes, and a final project
Mentors and checkpoints
Lifetime access and updates
CourseExplore how new treatments move from a biological idea through clinical trials to manufacturing. Learn how gene and cell technologies work, where AI is used in research, and how biotech businesses operate. Apply what you learn by analysing a biotech project using public data: explain the technology, assess the research evidence, and identify what needs to be tested next.
- Build a causal chain from a cellular intervention to a measurable patient outcome
- Compare modality, payload, carrier, in vivo/ex vivo delivery, biodistribution, PK/PD, and dose
- Design a decisive experiment with a model, assay, controls, and falsification condition
- Read early clinical data, biomarkers, AI claims, CMC, and manufacturing constraints
- Produce a two-page biotech memo on an unfamiliar program with the next milestone and risk map
AI Biotech
Who this is for
New
Biotech and healthtech founders or operators who need to connect science, product, and capital
Pro
Product and strategy professionals evaluating modality, delivery, clinical data, CMC, and the path to patients
AI engineers and developers who want to see where models help biotech R&D and where they add new risk
Scientists who need a product and business view of a program, pipeline, and company
Beginners ready to work with causal reasoning and public evidence without a wet lab
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Curriculum
One causal line connects the living system, intervention, experiment, human data, AI, manufacturing, economics, and the final engineering memo.
01
Living System as an Engineering Problem
02
Modality, Delivery, and Dose
03
Target, Model, and Experiment
04
Human Data
05
AI and the Development Cycle
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Learning Platform
Short lessons, practice, quizzes, and a glossary live on one platform. Sign in with an email link, no password.
- Email Sign-inEnter your email and get a sign-in link; no password. Pick up where you stopped on a computer or a phone.
- Short LessonsLessons are split into small blocks. Complete one in a short session, then resume from the same point later.
- Practice ThroughoutAssignments apply the material right after a lesson. In larger programs, separate outputs build toward a final project or capstone.
- One WorkspaceLessons, quizzes, assignments, and course materials stay together. Technical tasks can use the editor and syntax highlighting.
CommunityEach block ends with an assignment. Keep the intermediate results and assemble the final piece step by step.
Streams and Community
01
Expert Streams
Every day there are streams with experts on many topics in Discord: ask your question on a stream, then message the expert directly.
02
News Breakdowns
On Mondays and Fridays, meetings break down the news of the AI industry.
03
Stream Library
More than 1,600 recordings of Guide DAO lectures and meetings, with search and tags. The library is open to everyone who studies on the platform.
What You Leave With
Finish the program with a verifiable result you can show to a team or use in your next project.
Final Project
Build the program's main result against clear criteria and take it to a state another person can verify.
Portfolio of Work
Keep intermediate artifacts, sources, and decisions so others can see how you worked and why you reached the result.
Next Step
Record the result's limits, open questions, and next actions for your own project, a team, or a new role.