10 Summer Artificial Intelligence Programs for Middle School Students in Texas
As a middle-school student living in the Lone Star State, participating in summer artificial intelligence programs for middle school students in Texas can offer you a solid option to explore cutting-edge technology without committing to an overly expensive endeavor. These structured initiatives grant early exposure to college-level academics and campus life, helping you develop practical skills in computer programming and data science. Additionally, you will gain valuable industry exposure and build meaningful connections with expert mentors and like-minded peers across the field. If you are eager to dive deeper into machine-learning concepts, exploring an online summer program provides an accessible way to engage with top-tier coursework from the comfort of your home. Online formats eliminate geographic barriers, allowing ambitious students across Texas to collaborate on real-world projects alongside accomplished scholars. To help you find the best academic fit, we have narrowed down our list of top summer artificial intelligence programs for middle school students in Texas. Our selection criteria prioritize rigorous academic curricula, robust networking opportunities, fully funded options or accessible financial aid, competitive acceptance rates, and hosting by prestigious organizations.
10 Summer Artificial Intelligence Programs for Middle School Students in Texas
Location: Remote
Cost/Stipend: Varies; Full financial aid is available
Acceptance rate/cohort size: Highly selective
Dates: 8-week program; multiple cohorts throughout the year
Application Deadline: Varies by the cohort
Eligibility: Students in grades 6-8
Lumiere’s Junior Explorers Program is a selective online research experience for middle school students, designed to build advanced academic writing and research skills. You begin by selecting a subject area, such as STEM, humanities, or social sciences, and are matched with a PhD-level mentor from a top university. Over the course of the program, you receive a structured introduction to your chosen field, then design and carry out an independent research project focused on a real-world question. To strengthen your writing and analytical abilities, you conclude the program by producing a formal research paper that presents your findings.
Location: University of Texas at San Antonio, San Antonio, TX
Cost/Stipend: $230 (A $5 service fee applies; reduced tuition of $40 is available for students eligible for reduced-price lunch)
Acceptance size/cohort size: Not published
Dates: June 1–June 4
Application Deadline: Rolling registration until filled
Eligibility: Students entering 6th, 7th, or 8th grade
Hosted by the College of AI, Cyber & Computing at San Pedro I, this four-day, in-person summer camp offers an interactive introduction to core computer science topics including machine learning, image processing, and generative models. You will work directly with university faculty and academic mentors to explore foundational technology concepts without needing any prior computer programming experience. Throughout the daily sessions, you will apply computational thinking to design and build your own artificial intelligence application tailored to solve a real-world problem. The experience emphasizes hands-on experimentation, interactive peer collaboration, and practical skills development. Upon completing the curriculum, you will present your custom application and demonstrate how your technology solution addresses your targeted community challenge.
Location: Remote
Cost: Varies; Full financial aid is available
Acceptance rate or Cohort size: Highly selective
Dates: Various cohorts throughout the year
Application Deadline: Varies by the cohort
Eligibility: Students in grades 6–8; no coding or technical background required
Veritas AI’s AI Trailblazers program introduces you to key concepts in artificial intelligence and machine learning through live instruction and collaborative learning. Over 25 hours, you learn Python programming, explore data analysis, and build models using regression and classification techniques. You receive personalized guidance through small-group mentoring, with a five-to-one student-to-mentor ratio. As the program progresses, you explore more advanced topics such as neural networks and AI ethics. A central part of the experience is the team-based capstone project, where you and a few peers apply your new skills to solve a real-world challenge and present your findings at the end.
Location: Dallas College (Brookhaven Campus, Farmers Branch, TX / Cedar Valley Campus, Lancaster, TX)
Cost/Stipend: $80
Acceptance size/cohort size: Not published
Dates: June 15–June 18 (Cedar Valley Campus) or June 22–June 25 (Brookhaven Campus)
Application Deadline: Rolling registration until filled
Eligibility: Ages 11–13 (Brookhaven Campus) or Ages 14–17 (Cedar Valley Campus)
Hosted across select regional campuses, this four-day introductory camp exposes young learners to fundamental concepts in machine learning, digital literacy, and practical software design. You will explore how intelligent algorithms power everyday consumer technologies through hands-on exercises and interactive team projects. The curriculum emphasizes analytical thinking, computational logic, and creative problem-solving without requiring extensive prior coding expertise. Throughout the program, you will collaborate with instructional staff and peers to build user-centered software prototypes. You will cap off the experience by demonstrating your interactive project during a final classroom presentation.
Location: Rice University, Houston, TX; The Hockaday School, Dallas, TX; St. Edward's University, Austin, TX
Cost/Stipend: $879 per week (Plus a one-time $79 annual registration fee)
Acceptance size/cohort size: Small group instruction with a staff-to-camper ratio of approximately 1:4 to 1:8
Dates: Weekly sessions running June 15–June 19, July 6–July 10, or July 20–July 24
Application Deadline: Rolling registration until filled
Eligibility: Ages 10–14
Hosted at top academic institutions across Texas, this week-long tech camp provides middle-school students with hands-on experience using advanced machine-learning tools and generative models. You will explore practical programming with Scratch or Python while investigating how algorithms process data, train language models, and handle computer vision systems. The curriculum encourages critical thinking through interactive discussions on artificial intelligence ethics, algorithmic bias, and the societal impact of dynamic digital platforms. Throughout the week, you will collaborate with peers on hands-on software development projects, design custom applications, and test your prototypes in team environments. The experience concludes with a tech showcase where you present your artificial intelligence projects to instructors and fellow campers to receive an official Certificate of Excellence.
Location: Rice University, Houston, TX; The Hockaday School, Dallas, TX; St. Edward's University, Austin, TX
Cost/Stipend: $879 per week (Plus a one-time $79 annual registration fee)
Acceptance size/cohort size: Small group instruction with a staff-to-camper ratio of approximately 1:4 to 1:8
Dates: Weekly sessions running June 22–June 26 or July 27–July 31
Application Deadline: Rolling registration until filled
Eligibility: Ages 10–14 (Prior programming experience with Python or artificial intelligence required)
Designed for middle-school coders seeking to move beyond introductory concepts, this advanced one-week summer program focuses on autonomous algorithms and machine-learning frameworks. You will process standardized computer vision datasets, such as the MNIST handwritten digit library, while implementing classification models using the K-Nearest Neighbor algorithm. Throughout the course, you will investigate how intelligent agents formulate goal-oriented behaviors, adjust internal decision-making processes, and evaluate model performance to eliminate algorithmic bias. Instructors guide participants through hands-on development exercises, peer code reviews, and critical discussions surrounding ethical engineering practices. At the culmination of the program, you will present your custom-built autonomous agent and showcase your technical portfolio during a final group demonstration.
Location: University of Texas at El Paso, El Paso, TX
Cost/Stipend: Free
Acceptance size/cohort size: Not published
Dates: June 22–June 26 or July 6–July 10
Application Deadline: Rolling registration until filled
Eligibility: Rising 6th–12th grade students (No prior experience required for beginner sessions)
Hosted by the Department of Computer Science at UTEP, this week-long introductory program provides middle-school participants with foundational knowledge in computer programming and machine-learning applications. You will receive hands-on instruction from university mentors to master basic Python syntax while developing original software projects, such as image classifiers and recommendation systems. The curriculum incorporates guest speakers who share professional insights regarding real-world applications of artificial intelligence and emerging technical career pathways. Through interactive coding exercises and collaborative group tasks, you will strengthen your computational logic and problem-solving abilities. The camp concludes with a final project presentation where you can showcase your custom software models to instructors, guest speakers, and peers.
Location: Allen Academy, Bryan, TX
Cost/Stipend: Varies, financial aid available
Acceptance size/cohort size: Small group instruction (Space is limited)
Dates: June 15–June 26 (30 total program hours)
Application Deadline: Rolling registration until filled
Eligibility: Students entering 6th through 12th grade
Hosted on campus in Bryan, Texas, this 30-hour summer intensive is taught by Stanford artificial intelligence researchers through Inspirit AI. You will explore interdisciplinary applications of machine-learning models across fields such as healthcare, engineering, and economics. The curriculum emphasizes practical software design, ethical technology considerations, and collaborative problem-solving. Throughout the program, you will work alongside university mentors to apply core programming tools to real-world datasets. The course culminates in a capstone presentation where you showcase your custom artificial intelligence project to peers and instructors.
Location: Houston, TX (Multiple regional sites)
Cost/Stipend: $380 per week
Acceptance size/cohort size: Not published
Dates: June 15–June 19
Application Deadline: Rolling registration until filled
Eligibility: Ages 9–11
Hosted by Club SciKidz Houston, this week-long summer program provides younger middle-school learners with an interactive introduction to machine-learning concepts and automated decision-making processes. You will experiment with real-world data patterns while exploring practical applications in speech processing, computer vision, and predictive logic. The project-based curriculum emphasizes creative problem-solving, guiding participants as they design and code simple chatbots and intelligent software interfaces. Working in small team environments, you will collaborate with fellow campers to brainstorm solutions, refine your algorithms, and build digital literacy skills. The session wraps up with a project showcase where you demonstrate your functional chatbot to instructors and peers.
Location: University of Texas at Austin, Austin, TX
Cost/Stipend: $550
Acceptance size/cohort size: Not published
Dates: June 8–June 12
Application Deadline: Rolling registration until filled
Eligibility: Ages 7–11 (Designed for participants with little to no prior coding experience)
Hosted at the J.J. Pickle Research Campus by the Texas Advanced Computing Center, this weeklong day program introduces younger learners to fundamental concepts in robotics, computer programming, and intelligent systems. You will engage in interactive, project-based activities alongside university research scientists and experienced science educators. The curriculum incorporates an off-campus field trip to the main university site, where you will explore world-class supercomputing infrastructure and learn about diverse technical careers. Throughout the session, you will work on hands-on team challenges designed to foster creative problem-solving and computational logic. The camp experience concludes with a final showcase where you present your interactive robotics and software projects to instructors and peers.
Stephen is one of the founders of Lumiere and a Harvard College graduate. He founded Lumiere as a Ph.D. student at Harvard Business School. Lumiere is a selective research program where students work 1-1 with a research mentor to develop an independent research paper.