What You’ll Learn
Go from zero to publishing professional AI notebooks—designed by NanoSchool’s Deep Science Learning Organisation under NSTC guidelines. Learn the essential tool used by 90% of data scientists and AI researchers worldwide.
Jupyter Interface
Cells, kernels, shortcuts, and notebook management.
Markdown & Formatting
Write beautiful documentation with headers, lists, math (LaTeX), and images.
Magic Commands
Time code, load data, and debug with % and %% commands.
Reproducible AI Workflows
Export to HTML/PDF, version control with Git, and share via GitHub.
Who Should Enroll?
Perfect for absolute beginners in AI, data science, or programming—especially students and professionals in Delhi NCR taking their first step into technical workflows.
- School or college students starting with AI/ML
- Non-tech professionals transitioning into data roles
- Researchers documenting experiments
- Anyone preparing for NanoSchool’s Python or AI courses
Hands-On Projects
AI Learning Journal
Document your first Python experiments with Markdown and code cells.
Data Story Notebook
Analyze a public dataset (e.g., Indian census) and tell a story with visuals and text.
Capstone
Publishable AI Report
A polished, export-ready notebook shared on GitHub with README and visuals.
2-Week Syllabus
Total: ~15 hours • Lifetime LMS access • Delhi NCR support
Week 1: Jupyter & Markdown Basics
- Installing & launching Jupyter (local & Colab)
- Code vs. Markdown cells
- Basic formatting, lists, links, images
- Lab: Create your first AI learning notebook
Week 2: Advanced Features & Sharing
- Magic commands (%time, %load, %matplotlib)
- Exporting to HTML, PDF, and slides
- Version control with Git & GitHub
- Capstone: Publish a reproducible AI report
NanoSchool LMS & NSTC Mentorship
Access our browser-based LMS with lifetime access. Get support from mentors certified by the NanoSchool Technology Council (NSTC).
NSTC-Accredited Certificate
Verified by the NanoSchool Technology Council (NSTC). Shareable on LinkedIn. Recognized by Indian employers and startups in Delhi NCR.
Frequently Asked Questions
Do I need to know Python?
No! This course focuses on the Jupyter environment itself. You’ll write minimal code—just enough to see how notebooks work. It’s the perfect prep for Python or AI courses.
Can I use this on my phone?
Jupyter works best on a laptop or desktop. But you can view notebooks on mobile via GitHub or Colab. We recommend a computer for labs.
Why is Jupyter important for AI?
Jupyter is the #1 tool for prototyping AI models, sharing research, and teaching. It combines code, output, and explanation in one document—making your work clear, reproducible, and collaborative.
