Generation STEM
Courses/Biotech · Ages 13-18 · Intermediate
Biotech I course artwork

Biotech I

A Python-powered Biotech I course where teens build a 16-program Sequence Lab notebook, import a real biotech.lab toolkit, analyze mutations, search sequence databases, and identify an unknown sample.

▸16 lessons▸8-12 weeks▸Instant help when stuck▸Runs in your browser
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// learn by building

Here's what you build by Module 4 (Crack the Code).

// course experience

Meet the workspace.

Students build through real coding environments while their personal AI mentor helps them through each challenge.

✓Approved DNA and protein data
✓Python sequence analysis
✓Deterministic validation
✓No unsafe wet-lab content
// the quick version

What is Biotech I?

Where code meets biology — read DNA, model proteins, and explore living systems with Python.

🛠️

What you'll learn

  • ▸Analyze real biological data
  • ▸Model DNA and protein sequences in code
  • ▸See how software drives modern medicine
  • ▸Safe, guided lab projects
🎯

Who it's for

Teens who love biology and want to see how computing is transforming science and health.

Ages 13-18 · intermediate
🚀

Where it leads

Bioinformatics is booming — powering drug discovery, genetics, and personalized medicine. Coding is now core to modern science.

BioinformaticsGenetics & MedicineData ScienceResearch
// curriculum

A clear path from first concept to final project.

8 modules designed for steady momentum and project-based practice.

A sealed, unlabeled sample lands on the bench. Students learn to read DNA as text, measure it, count its bases, and use GC content as the first fingerprint.

Learning objective: Students build a base counter and GC-fingerprint calculator while learning DNA strings, length, indexing, base counts, percentages, and why one number can start separating organisms.

Lesson 1: The Four-Letter CodeLesson 2: The GC Fingerprint
🎓
Students:
✓Learn biotech through real Python programs instead of memorizing biology vocabulary
✓Use authentic terms like DNA, GC content, reverse complement, codon, protein, ORF, mutation, FASTA, percent identity, and BLAST
✓Import real-feeling lab data and earned helper methods through biotech.lab while staying inside a safe sandbox
✓Practice Python, biology, data analysis, pattern matching, and scientific reasoning in one course
✓Finish with a 16-program Sequence Lab notebook and a mini-BLAST sequence detective
👪
Parents:
✓A premium STEM pathway that connects coding to modern biology, medicine, genomics, and data science
✓No wet-lab protocols, medical advice, unsafe bioengineering, or uncontrolled internet access
✓A frozen, sandboxed biotech.lab package instead of arbitrary public internet access
✓A strong next step after Python for Teens for students interested in biology, medicine, AI, research, or data science
✓Visible portfolio outcomes, Nova support, parent progress tracking, achievements, and certificates
// skills learned

Real technical vocabulary and practice.

Students learn the language of the field while building things that make each concept concrete.

DNA StringsBase CountingGC ContentComplementsReverse ComplementsTranscriptionCodon SplittingGenetic Code DictionariesProtein TranslationMotif SearchOpen Reading FramesMutation AnalysisFASTA ParsingSequence Database SearchPercent Identity
// proof of work

Finish the course. Earn the certificate.

Every track ends in a verifiable Certificate of Completion - a real milestone your student can add to a portfolio, application, or resume. Proof they didn't just watch a video; they shipped real projects.

✓Awarded automatically when all lessons are complete
✓A shareable PDF plus a verifiable completion link
✓Lists the real skills practiced - not just attendance
✓A finish line students actually work toward
Start the course →
Generation STEM
Certificate of Completion
This certifies that
Your Name
has successfully completed all projects of
Biotech I
Daniel Mondeu
Founder, Generation STEM
★CERTIFIED
January 1, 2026
Date issued
// parent questions

Clear answers before you enroll.

Biotech I teaches students to treat DNA and proteins as data. Students learn base counting, GC content, complements, reverse complements, transcription, codons, protein translation, motif search, open reading frames, mutations, FASTA parsing, database search, percent identity, and mini-BLAST-style sequence identification.

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