Application deadline
13 March 2026
2026 Summer Institutes application deadline; materials are due by 11:59 PM Pacific Time.
Online Program
Artificial Intelligence Online Course
by Stanford Pre-Collegiate Studies
Study how AI systems learn through Python programming, machine learning theory, and practical analysis of algorithmic bias.
Last verified: 6 Oct 2026Reviewed by:SSSean Stevens
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Artificial Intelligence Online Course at a glance: cost, dates and eligibility
Current status
Upcoming
Eligibility
Grades 10-11; beginning Python proficiency
Age range / Year group
Ages 15-17
Location / Region
Online
Cost
$3,200
Duration
2 weeks
Format
Online
Artificial IntelligenceComputer ScienceMathematics
Sessions / cadence: Mon-Fri: 2h live + 1-2h homework daily
Scheduling model: Pacific Daylight Time meeting windows
Latest verified cycle: 2026
Academic support: Online office hours
Study tasks: Assignments and projects
Practical output: Python algorithm implementations
Artificial Intelligence Online Course summary
Stanford Pre-Collegiate Summer Institutes teaches AI through mathematical foundations and practical Python implementation. Students examine supervised, unsupervised, and reinforcement learning.
The experience combines live instruction, office hours, and independent assignments and projects. It suits students who want to understand how algorithms work and how bias affects their use.
What is Artificial Intelligence Online Course?
Artificial Intelligence is a Stanford Pre-Collegiate Summer Institutes course exploring how intelligent systems are trained to perform specific tasks. It combines supervised, unsupervised, and reinforcement learning with mathematical foundations in linear algebra, statistics, calculus, and optimization.
Students implement algorithms in Python using pedagogical and real-world datasets, then analyze their strengths, weaknesses, and potential biases. Live online classes, office hours, and independent assignments connect theory with practical work on safe, efficient, and ethical AI systems.
Why Succeed highlights Artificial Intelligence Online Course
Python implementation gives students a practical way to test the algorithms they study.
The course connects machine learning with explicit mathematical foundations rather than treating AI as a collection of tools.
Bias analysis and mitigation bring ethical questions into the technical work.
Daily live classes and online office hours provide a structured setting for demanding independent study.
Who is Artificial Intelligence Online Course for?
Best for
Students who enjoy programming and mathematical reasoning and want to investigate how machine learning algorithms behave.
Not ideal if
You want a first introduction to coding or cannot protect weekday time for live classes and independent work.
Is Artificial Intelligence Online Course worth it?
This course is worth considering if you want to connect Python programming with the mathematics and ethical questions behind machine learning. Implementing algorithms and examining their limitations offers more useful subject exploration than relying on the Stanford name alone.
The daily workload makes it a substantial academic commitment, and families should weigh tuition against that learning value. Stanford states that undergraduate admissions are independent of its pre-collegiate programs, so participation should be judged by what the student learns.
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Cost and what is included
$3,200; includes Ten weekday live classes, two hours each., Online office hours., Assignments and projects..
Dates and time commitment
2 weeks; Mon-Fri: 2h live + 1-2h homework daily.
Provider details
Review the Stanford Pre-Collegiate Studies provider page and official sources before making a final decision.
What the student gains
Potential output: Practical coursework centers on implementing AI algorithms in Python.. Check whether feedback, certificate, recommendation or application evidence is included.
Online support and safeguarding
Check how online sessions are supervised, how mentor communication works, and what support route exists if the student needs help.
What to check before committing
Confirm current dates, session schedule, payment terms, cancellation rules, support expectations and what output or certificate is included with the provider.
Compare this program with similar options before deciding on dates, cost, format and fit.
Compare with similar programsHow much preparation does Artificial Intelligence Online Course need?
Effort level
High.
Best started
Begin application preparation several weeks before a future session's published deadline to gather records and prepare the required work sample.
Main challenge
Connecting mathematical concepts with working Python implementations.
Typical preparation
Refresh your beginning Python skills before classes begin.
Review linear algebra, statistics, calculus, and optimization concepts relevant to the course.
Gather recent grade reports and transcripts, and follow the course-specific work-sample instructions.
Convert the Pacific meeting windows to your local time and reserve daily homework time.
Useful if
You want to test your interest in technical AI study.
What do students do on Artificial Intelligence Online Course?
You combine live AI instruction with Python practice and independent assignments. The academic work moves between mathematical explanations, algorithm implementation, and analysis of performance and bias.
Step-by-step process
- 1
Attend your assigned weekday live class section.
- 2
Study supervised, unsupervised, and reinforcement learning methods.
- 3
Apply mathematical concepts and implement algorithms in Python.
- 4
Analyze algorithmic strengths, weaknesses, and bias mitigation.
- 5
Complete assignments and projects outside class, with online office hours for support.
Artificial Intelligence Online Course dates and deadlines
Next cycle not announced yet. These dates are from the latest verified cycle and should be used as a reference only.
Reference date
Session One
15-26 June 2026
Weekday classes within 8:00-11:00 AM or 4:00-7:00 PM PDT; students attend one section.
Session Two
6-17 July 2026
Weekday classes within the 8:00-11:00 AM PDT meeting window.
| Milestone | Date | Timezone | Status | |
|---|---|---|---|---|
Application deadline | 13 March 2026 | Local | Reference date | |
Session One | 15-26 June 2026 | Local | Reference date | |
Session Two | 6-17 July 2026 | Local | Reference date |
Eligibility and requirements
Current Grades 10-11 at the time of application.
Beginning proficiency with Python.
Domestic and international applicants may apply.
Admitted students attend only one Summer Institutes course.
How much does Artificial Intelligence Online Course cost?
Course tuition
$3,200 — Two-week Summer Institutes course.
Funding or discounts
- Financial aid: Available — Domestic and international participants can receive aid.
What's included
Ten weekday live classes, two hours each., Online office hours., Assignments and projects.
How to apply to Artificial Intelligence Online Course
- 1
Create or reuse an account in Stanford's online application portal using the student's legal name and birthdate.
- 2
Choose Stanford Pre-Collegiate Summer Institutes and indicate Artificial Intelligence among your course preferences.
- 3
Complete the application responses yourself and prepare a work sample meeting the course's requirements.
- 4
Upload recent grade reports, transcripts, and required materials directly into the application.
- 5
Have a parent or legal guardian review and sign the completed application.
- 6
Review everything, pay the required application fee, and submit; applications cannot be changed afterward.
Next step with Succeed
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Learning format
Classes meet live online for two hours each weekday, with approximately one to two hours of assignments and projects per day outside class. Students attend one section within an 8:00-11:00 AM PDT window in either session or a 4:00-7:00 PM PDT window in Session One; the third hour is used for online office hours.
Exact class times and office-hour schedules are set closer to the program start.
Mentorship and feedback
Online office hours accompany the live classes.
The third hour of the meeting window is reserved for office hours.
The exact office-hour schedule is set closer to the program start.
Time-zone considerations
- All published meeting windows use Pacific Daylight Time.
- Both sessions offer an 8:00-11:00 AM PDT meeting window.
- Session One also offers a 4:00-7:00 PM PDT meeting window.
- Students attend one section and time, with two live class hours each weekday.
- Plan for one to two additional hours of independent work per day.
Assessment style
Coursework involves assignments, projects, and practical Python algorithm implementation.
- Complete assignments and projects outside live classes.
- Implement algorithms using pedagogical and real-world datasets.
- Analyze algorithmic strengths, weaknesses, and bias.
Portfolio and outputs
Main deliverable / output
Practical coursework centers on implementing AI algorithms in Python.
Python implementations using pedagogical and real-world datasets.
Course assignments and projects.
Artificial Intelligence Online Course FAQs
Students study supervised, unsupervised, and reinforcement learning, analyze algorithmic strengths and weaknesses, and examine bias mitigation. They apply mathematical concepts and implement algorithms in Python.
Yes. Beginning proficiency with Python is a prerequisite.
There are two hours of live online classes Monday through Friday, plus approximately one to two hours of assignments and projects per day. Online office hours use the third hour of the published meeting window.
No. Students must complete their own responses. Parents or legal guardians review the completed application and sign it.
No. Standardized test scores are optional for domestic and international applicants.
Yes. Financial aid can be awarded to domestic and international participants.
No. Stanford University's undergraduate admissions process is separate and independent from Stanford Pre-Collegiate Studies programs.
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Save this program in Succeed to compare it with similar programs, dates, costs and formats in one place.
Compare with other programsContent reviewed by
Sean Stevens
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.
Sources and verification
Source types reviewed
- SU26_SPCS_Flyer_TeachCoun.indd
- Welcome
- Questions: Application - SI | Stanford Pre-Collegiate Summer Institutes
- Artificial Intelligence | Stanford Pre-Collegiate Summer Institutes
Succeed uses official provider information where available, but keeps this public page focused on comparison and planning inside Succeed.
What we verified (on 6 Oct 2026)
Official course page reviewed
Session dates checked
Grade eligibility reviewed
Python prerequisite checked
Daily workload verified
Tuition and aid reviewed
Application requirements checked
How Succeed uses this information
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.
Artificial Intelligence Online Course
by Stanford Pre-Collegiate Studies
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