Registration opens
8 November
Summer 2027 camps and academies.

by iD Tech
Explore Python, machine learning, and data science through instructor-led projects, collaborative coding, and a final portfolio showcase.
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Current status
Upcoming
Eligibility
Beginner to advanced students
Age range / Year group
Ages 13-18
Location / Region
Cambridge; New York; Stanford; Pasadena; Seattle
Cost
From $4,599
Duration
2 weeks
Format
In-person
An iD Tech academy that connects Python programming with machine learning, data science, and practical coding projects.
Students build models and games, discuss responsible AI design, and collaborate toward a final project and portfolio presentation.
It suits learners who want instructor support and enjoy testing, debugging, and improving their own work.
The Data Science Academy with Python & Machine Learning is iD Tech's campus-based introduction to building with Python, data, and AI. Students explore neural networks, data visualization, algorithm design, and cryptography through instructor-led workshops. The experience combines technical work with campus and recreational activities.
Projects make abstract concepts tangible: students can train image-classification models, develop coding games, and analyze data to make predictions. Collaboration and project refinement lead into a final portfolio showcase. Discussions of ethics, privacy, and responsible design add context to the technical work.
Coding projects connect Python skills with concrete machine learning applications rather than leaving AI as an abstract topic.
The curriculum combines technical practice with discussions of ethics, privacy, and responsible design.
Small-group teaching and individual attention can help students work through debugging and unfamiliar concepts.
A portfolio showcase, saved project files, and a transcript give students tangible material to revisit afterward.
Students curious about how coding and data power AI, who enjoy practical projects and learning alongside peers.
You want to focus exclusively on statistical theory or prefer a self-paced course without collaborative workshops.
The strongest value is the chance to turn interest in AI into working projects with instructor support. Students can leave with a clearer sense of whether they enjoy coding, model-building, and iterative problem-solving. Keeping and improving the project files afterward can extend that learning.
The curriculum is broad, spanning games, cryptography, web development, and machine learning. Students seeking sustained depth in one narrow data science topic may prefer a more specialized course. Judge the experience by what you learn and can explain, rather than treating its diploma as an admissions advantage.

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A practical overview of cost, accommodation, meals, dates and provider details to review before deciding.
Cost and what is included
From $4,599; includes Instructor-led coding and machine learning workshops., Official iD Tech diploma and course transcript., USB containing course project files., Access to installation and setup guides..
Accommodation
Campus dormitories for overnight students
Meals
Residential routine: breakfast, lunch, dinner
Provider details
Review the iD Tech provider page and official sources before making a final decision.
Dates and logistics
2 weeks; Cambridge; New York; Stanford; Pasadena; Seattle.
What to check before committing
Confirm current dates, payment terms, travel arrangements, cancellation rules and what is included with the provider.
Compare this program with similar options before deciding on dates, cost, format and fit.
Compare with similar programsEffort level
Intensive, practical learning.
Best started
Begin family planning a few weeks before the announced November registration opening, then refresh coding basics before your chosen session.
Main challenge
Connecting unfamiliar coding concepts while debugging and collaborating.
Practice simple Python loops, conditions, and functions to make the opening exercises more familiar.
Try a small coding puzzle and note how you find and fix mistakes.
Discuss day versus overnight arrangements and campus preferences with your family.
Useful if
You want to test your interest in computer science through projects.
You learn through coding exercises, model-building, and collaborative projects with live instructors. The sample sequence develops from Python fundamentals into machine learning, cryptography, and a final portfolio presentation.
Practice Python fundamentals by building a text-based game.
Explore libraries, data sorting, visualization, and algorithms.
Experiment with neural networks and a drawing-recognition model.
Build and refine a custom battle arena game.
Use Python to explore ciphers, hash tables, and cybersecurity.
Create an interactive web game using HTML and CSS.
Test and polish your final project with peers.
Present completed work in a portfolio showcase.
Registration opens
8 November
Summer 2027 camps and academies.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Registration opens | 8 November | Local | Reference date |
Ages 13-18.
Beginner to advanced students are welcome.
Program fee
From $4,599 — Payment plan available.
Funding or discounts
What's included
Instructor-led coding and machine learning workshops., Official iD Tech diploma and course transcript., USB containing course project files., Access to installation and setup guides.
Choose the Data Science Academy and a campus offering the course.
Ask an iD Tech Program Specialist for help with course selection or registration.
Use iD Tech's official registration checkout to book your selected option.
Choose the payment plan if you prefer monthly installments.
Next step with Succeed
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The program covers the following focus areas.
Python programming
Practice conditions, loops, functions, classes, and libraries through coding games and puzzles.
Machine learning models
Train custom models and explore image classification with Teachable Machine and neural networks.
Data science
Explore data visualization, algorithms, trend analysis, and prediction using tools including TensorFlow and Pandas.
Cryptography and cybersecurity
Use Python to investigate ciphers, encryption, hash tables, and search techniques.
Interactive projects and responsible AI
Build and present collaborative projects while discussing ethics, privacy, and responsible design.
Curriculum may be adjusted based on participant interests and current developments.
A typical day during the program.
Breakfast at 8:00 am; instruction begins at 9:00 am and lunch is at noon.
Campus activities begin at 1:00 pm, followed by instruction at 2:00 pm.
Dinner and activities start at 6:00 pm, with supervised social time at 8:00 pm.
The residential sample routine has lights out at 10:00 pm.
Live iD Tech instructors specializing in machine learning teach the course, with recruitment from universities including Stanford, Caltech, NYU, and Carnegie Mellon. The provider describes adult US-based instructors who undergo background and reference checks, training, and certification.
Small classes provide individual attention and allow students to progress at different paces.
The course describes overnight options at most locations and an option to stay between the two instructional weeks.
After completing this program, participants often pursue:
Receive an official iD Tech diploma and course transcript.
Leave with a portfolio tailored to the course topic.
Keep project files on a USB for continued development.
Use installation and setup guides to continue working independently.
Earn 4,667 XP toward the iD Tech Pathway.
The course lists the MIT campus in Cambridge, NYU-Washington Square in New York, Stanford University, Caltech in Pasadena, and the University of Washington in Seattle. Learning takes place in campus labs, with recreational activities alongside workshops.
iD Tech delivers the program independently; the host universities do not sponsor or affiliate with it.
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Content reviewed by
Co-founder, Succeed | Founder, Immerse Education (2012–2026)
Sean works at the intersection of academic enrichment, program quality and university preparation, with expertise in evaluating pre-university experiences for ambitious secondary school students.
Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.
Official course page checked
Age and skill levels reviewed
Course-specific starting price checked
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Sample curriculum reviewed
Diploma and transcript confirmed
We use source material to verify core facts, then show older cycle dates as reference when a current cycle is not available. Always check current application instructions before applying.
Data Science Academy with Python & Machine Learning
by iD Tech
May qualify for the £300 Succeed Programme Award.
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