Understand the foundations
Start with the concepts behind the code. Explore Python, data, and the building blocks of machine learning.
LEARNING, WITH PURPOSE
Big ideas.
Practical skills.
Make your next
chapter count.
Explore AI, machine learning, and data science through focused, live courses. A place for curious minds to turn understanding into practical work.
Kathmandu, Nepal • Online, live learning
YOUR LEARNING PATHBuilt around you
From curiosity
to capability.
A clear place to start. Room to go further.
01
START WITH THE ESSENTIALS
Python & data foundations
Build confidence with code and data.
02
CONNECT THEORY AND PRACTICE
Machine learning
Explore models, experiments, and evaluation.
03
GO DEEPER
Applied AI & specialist topics
Investigate language, signals, and neural networks.
7focused programs
4–10 weekscurrent course durations
Live + onlinesessions and recordings
Research-informedlearning that asks why
THE DANPHE APPROACH
Learn the why.
Then build the how.
Good learning makes room for questions, careful thinking, and hands-on work.
Learn through practice
Work through datasets, experiments, and applied projects. Turn an idea into something you can explain and build.
Think like a researcher
Ask better questions. Evaluate evidence, model limitations, and the responsibility that comes with using AI.
EXPLORE YOUR NEXT STEP
A starting point for
every curious mind.
Beginner → Intermediate
Foundations of Machine Learning
A rigorous introduction to supervised and unsupervised learning — the same foundations our instructors use in production research.
Intermediate
Applied Data Science Bootcamp
From messy raw data to decision-ready insight: data wrangling, SQL, visualization, and communicating results to stakeholders.
Intermediate → Advanced
Deep Learning & Neural Networks
Build and train neural networks from first principles, then work with modern architectures in PyTorch.
ONE COMMUNITY. SHARED CURIOSITY.
Learning meets
research.
Discover the wider Danphe community: tools that support teaching and research that explores what AI can do responsibly.
Get to know the instituteWhere should I start?
Check the prerequisites on each program. Python for Data Science is a beginner entry point; more advanced tracks expect prior knowledge. Ask admissions if you need help choosing.
How do the courses work?
The current catalog lists cohort-based online courses with live sessions and recordings. Confirm dates, session times, instructor details, and access arrangements before enrolling.
What should I confirm before enrolling?
Request the complete fee, payment and refund terms, timetable, assessment expectations, and any completion credential details. An application is an enquiry and does not confirm a place.
Can a parent or guardian contact the institute?
Yes. If a learner is under 18, a parent or guardian should contact admissions first to discuss age suitability, supervision, and permission requirements.
YOUR NEXT CHAPTER STARTS WITH A QUESTION