Choose and define the problem
- Problem brief
- research record
- success criteria
Every step of learning leads to a real product.
Drawing on current AI engineering, product, and startup practice, Lantr’s founders built a complete curriculum from zero experience to a formal launch. Everything students learn must be applied, explained, and used to move their product forward.
No coding experience required · included in every Lantr program
AI talent can come from any field.
Future physicians will build better health tools. Future lawyers will work intelligently with complex documents. Future investors will command market data. Lantr gives students in every field the technical fluency and judgment to lead that change.
001
Begin without prerequisites
No prior coding or computer science coursework is required.
002
Build depth in a field
Medicine, law, finance, science, business, media, design, and more.
003
Master technology through use
Every concept is applied to a working product and reviewed carefully.
004
Show what you can do
A live product, evaluation evidence, and a clear grasp of every major decision.
Four core abilities define what Lantr expects from excellent work.
From choosing the problem to explaining the finished system, every part of the curriculum must appear in the student’s own work.
01
Choose and define the problem
Define the intended audience, examine evidence, narrow the scope, and decide what a useful result would look like.
02
Build an AI-native workflow
Choose models, agents, data, code, and automation for the job, then verify what the system produces.
Build an AI-native workflow
- Working workflow
- technical decisions
- evaluation checks
03
Develop product judgment
Define test cases, check AI outputs, compare results, and decide what to improve.
Develop product judgment
- Test cases
- evaluation results
- improvement notes
04
Launch and take ownership
Deploy the product, explain the architecture and decisions, respond to feedback, and choose what to improve next.
Launch and take ownership
- Live product
- portfolio narrative
- next roadmap
Choose and define the problem
- Problem brief
- research record
- success criteria
Topics you’ll cover
Step by step, all the way to a real launch.
The 14-module curriculum covers these topics; this is not a numbered portal syllabus. Your workspace shows your assigned modules and sequence. Written lessons and interactive exercises are supported by bilingual mentors.
How AI products work: frontend, backend, database, and the AI agent inside
Every path is personal. The standard stays high.
An AI history tutor and a sports-injury analysis platform demand different research, data, and engineering decisions. Build tasks are generated around each student’s own product, so the same core skill leads to a different implementation.
The path begins with four inputsStudent interestsCurrent skillsProject goalNext milestone
Example · AI history tutor
01
Source reliability
Compare primary and secondary sources before connecting them to a model.
02
Retrieval workflow
Build a system that cites the material used for each explanation.
03
Learning design
Measure whether the student’s understanding improves through use and explanation.
04
Evaluate the explanations
Compare the product’s explanations with its source material, record failure cases, and improve it.
A concept is mastered when the student can apply it, defend it, and improve the product with it.
The tools keep changing. The disciplines that matter do not.
The founding team continuously reviews the curriculum against the models, agents, development workflows, and product practices used in current work. Technical content evolves quickly; rigor, judgment, and ownership remain constant.
Continuously updated
- Models and agent patterns
- Development and deployment workflows
- Evaluation methods
- New examples from shipped products
Deliberately durable
- Choosing worthwhile problems
- Checking evidence
- Making tradeoffs
- Explaining decisions and owning results
The Build Era’s core curriculum, or a Fellowship path built around you.
The Build Era runs on the complete core curriculum. The Fellowship starts from the same standard and reshapes the curriculum and project around one student's goal.
The Build Era
The complete core curriculum with weekly live mentor studios, the Builder community, and the Lantr AI Companion.
Lantr Fellowship
Eight weeks, one-on-one: a curriculum and project customized to the student, from idea to Demo Day. By application.
Free 30-minute consultation
A strong direction begins with an expert assessment.
We’ll assess the student’s interests, current ability, and goals, then recommend a project direction and level of guidance that fit. Students and parents are both welcome.
Book a Free Consultation
team@lantr.ai2-minute form · free 30-minute consultation · no obligation