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Only 2 of 5 total seats remain for the 2025-26 Academic Year-Long experience
Our Approach
We help students drive their own AI learning journey—mastering AI tools while developing the critical lens to question them—through projects that blend personal passions with mentor-guided exploration.
Teaching Students
to Use AI
Students build real applications powered by AI, learning how to leverage AI tools (ex. Lovable for coding, NotebookLM for research) effectively while maintaining creative control.
Student Projects:
-
Bond - A dating app for chemical elements
-
Theater app for performance analysis
-
RAG-enhanced information retrieval
-
Games (soccer, adventure, ecommerce)
Teaching Students
to Be Critical of AI
Students learn to identify limitations, biases, and alignment and safety issues in AI systems through practical exercises and research.
Student Projects:
-
Red-teaming AI systems
-
LLM sycophancy detection research
-
AI energy consumption analysis
-
Bias in medical question-answering
-
Systematic bias testing methodologies
Teaching Students
Using AI
Our evolving Look-Think-Do AI Coteacher framework helps students to use AI as a learning catalyst guiding them to Look Attentively at content, Think Critically and Do Independently.
LTD Framework Applications:
-
Academic paper simplification
-
Concept exploration with AI assistance
-
Coding concepts with guided examples
-
Reading reflection support/guide
Teaching Students to Use AI
Students build real applications powered by AI, learning how to leverage AI tools (ex. Lovable for coding, NotebookLM for research) effectively while maintaining creative control.
Student Projects:
-
Bond - A dating app for chemical elements
-
Theater app for performance analysis
-
RAG-enhanced information retrieval
-
Games (soccer, adventure, ecommerce)
Teaching Students to Be Critical of AI
Students learn to identify limitations, biases, and alignment and safety issues in AI systems through practical exercises and research.
Student Projects:
-
Red-teaming AI systems
-
LLM sycophancy detection research
-
AI energy consumption analysis
-
Bias in medical question-answering
-
Systematic bias testing methodologies
Teaching Students Using AI
Our evolving Look-Think-Do AI Coteacher framework helps students to use AI as a learning catalyst guiding them to Look Attentively at content, Think Critically and Do Independently.
LTD Framework Applications:
-
Academic paper simplification
-
Concept exploration with AI assistance
-
Coding concepts with guided examples
-
Reading reflection support/guide
10
Students Maximum
25-35
Hours 1:1 Mentorship
100%
Real Research Impact
Student Projects
See what our students created in our summer discovery and mentor-guided experiences.
USING AI - SUMMER 2025
Bond
A dating app for chemical elements to make learning about chemical bonds fun for young chemistry students.
CRITICAL AI-MENTOR-GUIDED
AI Energy Consumption
A dating app for chemical elements to make learning about chemical bonds fun for young chemistry students.
LEARNING WITH AI-SUMMER 2025
AI Theater Director
An application that helps theater students analyze and practice scripts.
RESEARCH FOCUS
Research Focus and Interests
Students engage with cutting-edge questions at the frontier of AI research.
AI Safety, Alignment & Interpretability
Investigating how AI systems behave, whether they're doing what we intend, and how to understand their decisions.
-
Red-teaming exercises to expose model limitations
-
Evaluating chain-of-thought reasoning patterns
-
Testing models for deceptive behaviors
-
Environmental impact assessment of AI systems
Algorithmic Fairness & Bias Mitigation
Exploring how biases manifest in AI systems and developing methods to detect and address these issues.
-
Cross-cultural AI behavior analysis
-
Detecting and measuring bias in language models
-
Developing bias audit methodologies
-
Evaluating mitigation techniques' effectiveness
Research Communities
-
Active Research
Race Identity and Social Environments (RISE) Lab
Brown University
Dr. Malik Boykin
-
Active Research
Technology Race and Prejudice (TRAP) Lab
Virginia Tech & Notre Dame
Dr. Broderick Turner (Virginia Tech),
Dr. Andre Martin (Notre Dame)
Research Communities
Active Research
Race Identity and Social Environments (RISE) Lab
Brown University
Dr. Malik Boykin
Research Communities
R
Race Identity and Social Environments (RISE) Lab
Dr. Malik Boykin, Brown University
Technology Race And Prejudice (TRAP) Lab
Dr. Broderick Turner (Virginia Tech)
Dr. Andre Martin (Notre Dame)
T
Program Pathways
Choose the pathway that matches your experience level and goals.
Only 2 of 5 seats remain for the 2025-26 Academic Year
Full Academic Year Foundations Track
Build core programming skills through project-based learning in Java, Python, or Backend development.
TIME COMMITMENT
4-5 hours/week (1 hour with mentor + 3-4 hours independent work)
TOTAL MENTOR CONTACT
30 hours over the academic year
FORMAT OPTIONS
One-on-one mentorship with SeqHub tutors
PERFECT FOR
Students new to programming who want to build toward AI work
Programs start at $6,750
Full Academic Year Research & Applications Track
Investigating how AI systems behave, whether they're doing what we intend, and how to understand their decisions.
TIME COMMITMENT
4-5 hours/week (1 hour with mentor + 3-4 hours independent work)
TOTAL MENTOR CONTACT
30 hours over the academic year
FORMAT OPTIONS
One-on-one mentorship with SeqHub AI researchers
PERFECT FOR
Students with programming experience ready for advanced AI work
2/5 seats left
Full Academic Year Foundations Track
Build core programming skills through project-based learning in Java, Python, or Backend development.
TIME COMMITMENT
4-5 hours/week (1 hour with mentor + 3-4 hours independent work)
TOTAL MENTOR CONTACT
30 hours over the academic year
FORMAT OPTIONS
One-on-one mentoring or small group (≤3 students)
PERFECT FOR
Students new to programming who want to build toward AI work
Programs start at $6,750
Full Academic Year Research & Applications Track
Investigating how AI systems behave, whether they're doing what we intend, and how to understand their decisions.
Time Commitment: 4-5 hours/week (1 hour with mentor + 3-4 hours independent work)
Total Mentor Contact: 30 hours over the academic year
Format: Exclusively 1:1 mentorship with SeqHub AI researchers
Perfect For: Students with programming experience ready for advanced AI work
2/5 seats left
Full Academic Year Foundations Track
Build core programming skills through project-based learning in Java, Python, or Backend development.
Time Commitment: 4-5 hours/week (1 hour with mentor + 3-4 hours independent work)
Total Mentor Contact: 30 hours over the academic year
Format Options: One-on-one mentoring or small group (≤3 students)
Perfect For: Students new to programming who want to build toward AI work
Programs start at $6,750
Research & Applications
contact for pricing
Limited Availability
for 2025-26 Academic Year-Long experience
2/5 seats remaining
Full Academic Year Research & Applications Track
Investigating how AI systems behave, whether they're doing what we intend, and how to understand their decisions.
Time Commitment: 4-5 hours/week (1 hour with mentor + 3-4 hours independent work)
Total Mentor Contact: 30 hours over the academic year
Format: Exclusively 1:1 mentorship with SeqHub AI researchers
Perfect For: Students with programming experience ready for advanced AI work
Summer Programs
Intensive summer experiences to explore AI concepts and build practical skills:
5-Week Mentor-Guided Experience
Intensive 1:1 mentorship for advanced AI research projects
Coming Summer 2026
3-Week Discovery Courses
Using AI to Build AI-Powered Applications & Critical AI Literacy
Coming Summer 2026
1:1 Collaboration with AI Practitioners
Our mentors are active AI researchers and practitioners at SeqHub as well as advanced graduate students & scholars in top Nigerian and US universities in the field of AI who guide you through personalized learning experiences.
What to Expect:
-
Weekly 1-hour sessions focused on your specific project
-
Co-working time where you collaborate directly with your mentor
-
Curated resources and concepts tailored to your learning path
-
3-4 hours of guided independent work between sessions
-
Access to AI tools that complement (not replace) human mentorship
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"Our mentors help students develop both technical skills and critical thinking about AI's broader implications."
- Dr. Taiwo Togun, Co-founder
— Dr. Taiwo Togun, Co-founder
1:1 Collaboration with AI Practitioners
Our mentors are active AI researchers and practitioners at SeqHub as well as advanced graduate students & scholars in top Nigerian and US universities in the field of AI who guide you through personalized learning experiences.
What to Expect:
-
Weekly 1-hour sessions focused on your specific project
-
Co-working time where you collaborate directly with your mentor
-
Curated resources and concepts tailored to your learning path
-
3-4 hours of guided independent work between sessions
-
Access to AI tools that complement (not replace) human mentorship
"Our mentors help students develop both technical skills and critical thinking about AI's broader implications."
Join Our Community
Whether you're a student, academic or industry expert, there's a place for you in shaping the future of responsible AI. We welcome educators, researchers, and industry professionals to collaborate with us.
MENTors
Guide the next generation of AI innovators while growing your own skills and earning.
WHAT WE LOOK FOR
-
Experience in research and applications of AI, machine learning
-
Ability to communicate complex concepts clearly
-
Commitment to supporting student-driven learning
-
Interest in AI ethics, safety, and societal impact
Mentors
Guide the next generation of AI innovators while growing your own skills and earning.
What We Look For:
-
Experience in research and applications of AI, machine learning
-
Ability to communicate complex concepts clearly
-
Commitment to supporting student-driven learning
-
Interest in AI ethics, safety, and societal impact
Industry/Academic Experts
Partner with SeqHub to engage researchers and students in meaningful work while advancing your research/project goals.
Ideal Partnerships:
-
AI safety and alignment research
-
Algorithmic fairness and bias mitigation
-
Applications and ethical implications of AI in education
Join Our Boutique AI Academy
We select motivated students ready to engage deeply with AI research and development.
Foundations Track
Build programming skills with 1:1 or small group mentorship.
LIMITED SPOTS
Research & Applications
Exclusive 1:1 mentorship for advanced AI projects.
2/5 seats remaining
Intensive exploration of AI concepts and applications.
Summer Programs
What we do
SeqHub AI Academy provides project-based research and development experiences where students contribute to real AI systems while investigating critical questions about fairness, safety, and societal impact. Students can either co-design their own research/development projects or contribute to ongoing SeqHub research and development initiatives.
AI Academy: Three-Track Excellence Program
Our flagship year-long mentorship program where exceptional students work directly with our founding team on research and development projects that create real impact.
Through thoughtful pedagogy and powerful technology, our programs build more than just technical fluency; we nurture independent thinking, intellectual curiosity, and cognitive resilience—all within a framework that prioritizes meaningful
mentor-student relationships.
Program Structure
Foundations Track
Building core programming skills for beginners through structured learning of Java, Python, and Backend development.
Academic Year Program: 24 weeks (30 hours) during the school year
Year-Round Option: 32 weeks (40 hours) including summer intensive
Format Options: One-on-one mentoring or small group (≤3 students)
Starting at $6,750
Research & Applications Track
Advanced students engage in real AI research projects with 1:1 mentor guidance, contributing to actual AI systems and publications.
Academic Year Program: 24 weeks (30 hours) of in-depth research during school year
Year-Round Program: 32 weeks (40 hours) including summer intensive research
Summer-Only Research: 5 weeks of intensive 1:1 mentorship experiences
Contact for pricing
Discovery Programs
Short-term programs to explore AI concepts and discover your interests:
Weekend Workshops
Introduction and skill-building sessions
Tailored Short Courses
Customized programs for organizations to upskill teams with AI literacy and building skills
Hackathons
Project-based community events
Foundations of Programming
Master Java or Python through project-based learning with personalized guidance. Perfect for motivated students who haven't programmed before but want to build toward advanced AI work.
Choose Java or Python programming language
Project-based learning approach
1-on-1 or small group (≤3) mentorship
Project portfolio development
Programming language mastery
Foundation for advanced AI tracks
Duration: 25 weeks (academic year) Sessions: 30 hours 1:1 or small group
AI & Psychological Science Research
Investigate the societal implications of AI through rigorous research methodologies. Engage with research informed by our collaborations with psychology researchers at Brown University.
Identifying gaps and opportunities in LLM audit tooling
Evaluating performance variations across different embedding models
Investigating representation biases in automated processes
Academic publication pathway
Science competition preparation (Regeneron STS/ISEF)
Network connections with university researchers
Coming Soon: Computational Neuropsychology Research • AI Applications in Ocean Engineering
AI Application Development
Contribute directly to real-world AI applications, including our AI Co-teacher platform used in schools, while gaining enterprise-level development experience.
AI Co-teacher Platform Development
Medical AI Applications (MED RAG)
Look-Think-Do Framework Implementation
Advanced Feature Development
User Experience & Interface Design
Enterprise-level development experience
Our Research Areas
Cutting-edge research domains where students can make meaningful contributions to the field of AI
AI Fairness & Bias Mitigation
Understanding and addressing harmful biases across AI applications
Research Topics:
-
Embedded Racial Frameworks in Language
-
Implicit Bias-Like Patterns in Reasoning Models
-
Cross-Cultural AI Behavior Patterns
-
Fairness Evaluation Methodologies
-
LLM Hiring Bias Detection
-
Medical RAG Bias Investigation
AI Safety, Alignment & Interpretability
Ensuring AI systems behave as intended and remain trustworthy
Research Topics:
-
Red-Team Testing
-
Interpretability Methods
-
Evaluation Gaming Detection
-
Tool Use Safety
-
Chain of Thought Issues
-
Environmental Impact Assessment
AI Applications Development
Building practical AI systems that solve real-world problems
Focus Areas:
-
AI in Education (including AI Co-teacher platform)
-
AI in Healthcare
-
Bias Detection Tools
Current Student Projects
Ongoing research and development initiatives that students have worked on or are currently working on. Admitted students can learn more about these projects and contribute to them.
Fairness & Bias
LLM Hiring Bias Detection
Auditing AI systems for demographic biases in automated decision-making processes within hiring contexts.
3-5 students
Fairness & Bias
Medical RAG Bias Investigation
Comparing retrieval-augmented generation systems and baseline language models for bias patterns in domain-specific applications, with a case study in medical question-answering.
2-4 students
Fairness & Bias
Cross-Cultural Sycophancy & Contrarianism Study
Analyzing responses from multiple large language models to systematically varied prompts that differ in content, language, order, and phrasing to study behavioral patterns.
2-3 students
Safety, Alignment & Interpretability
Environmental Impact Assessment of AI Systems
Measuring the resource consumption of an interactive AI system, including energy use, water consumption, and carbon emissions, and developing strategies to reduce their environmental footprint.
3-4 students
Applications - Education
AI Co-teacher Enhancement with RAG
Developing retrieval-augmented generation capabilities for SeqHub Academy's AI Co-teacher, enabling it to integrate up-to-date educational content and examples in real time.
2-3 students
Applications - Healthcare
Dementia Detection and Staging from MRI Scans
Developing and evaluating AI models to classify dementia presence and stage from brain MRI images, incorporating interpretability techniques to generate visual evidence for model decisions.
3-5 students
Student Opportunities & Pathways
Find your research path with opportunities that match your interests and goals
Research Track Students
Contribute to cutting-edge research in these areas:
Bias & Fairness:
-
Investigate bias patterns in Medical RAG systems
-
Audit LLMs for hiring bias
-
Study cross-cultural AI behaviors
-
Develop fairness evaluation methodologies
Safety, Alignment & Interpretability:
-
Participate in red-teaming challenges
-
Develop vulnerability detection methods
-
Research deceptive alignment behaviors
-
Assess environmental impacts of AI systems
-
Analyze chain-of-thought reasoning failures
Applications Development Track Students
Build real-world AI applications in these areas:
-
Contribute features to the AI Co-teacher platform while ensuring safety and environmental sustainability
-
Contribute to applications of AI in healthcare with our Intron Health partners
-
Develop bias detection/audit tools for LLM applications in hiring and decision-making systems
Recognition & Publication Outlets:
We encourage and support students in pursuing these opportunities, though they are not guaranteed and we do not have special relationships with these venues:
-
NeurIPS: High School Projects Track, GenAI4Health Workshop
-
Red-Teaming Competitions: OpenAI vulnerability discovery challenges
-
Science Competitions: Regeneron STS & ISEF
-
Psychology Conferences: APS, Cognitive Computational Neuroscience
-
Industry Showcases: Healthcare AI demonstrations, EdTech innovation demos
Student Showcase
Explore the impressive work created by our students during summer programs and year-round research
Summer 2025
AI Applications
Interactive Bias Explorer
A tool that visualizes bias in language models through interactive prompts and responses, built during our 3-week summer program.
Summer 2025
Critical AI Literacy
Dementia Detection and Staging from MRI Scans
Developing and evaluating AI models to classify dementia presence and stage from brain MRI images, incorporating interpretability techniques to generate visual evidence for model decisions.
Research Track
Healthcare AI
Medical Image Analyzer
A prototype tool that helps medical professionals analyze MRI scans with explainable AI assistance, developed through our year-round research program.
Our Partnerships
Explore your interests and build foundational skills with our intensive summer courses. Perfect preparation for Academy application or standalone skill development.
Academic Partners
-
Race Identity and Social Environments (RISE) Lab:
Dr. Boykin, Brown University
-
Technology Race And Prejudice (TRAP) Lab
Dr. Broderick Turner (Virginia Tech), Dr. Andre Martin (Notre Dame),
Dr. Breagin Riley (Notre Dame University)
Industry Partners
-
Intron Health
Dr. Fola Omofoye: Healthcare AI applications and real-world testing
-
BioRAMP Lab
Dr. Fola Omofoye: Biomedical AI research and development
-
ConnCat
Industry partnership for specialized AI workshops
Join Our AI Research Community
Whether you're a student, mentor, or industry expert, there's a place for you in shaping the future of responsible AI.
Students
Apply to join our programs and contribute to cutting-edge AI research.
Mentors
Guide students while co-learning and earning through collaborative research.
Industry/Academic Experts
Volunteer or submit research projects for the academy to explore.
Summer Programs
Explore your interests and build foundational skills with our intensive summer courses. Perfect preparation for Academy application or standalone skill development.
Foundations Track Summer Courses
-
Java Mastery Course
-
Backend Development with FastAPI
-
Using AI to Build AI-Powered Applications
Research Track Summer Courses
-
Exploring Algorithmic Bias in LLMs
-
AI Bias Research Intensive
-
Research Methodology Fundamentals
Development Track Summer Courses
-
Applied AI Projects
-
Using AI to Build AI-Powered Applications
-
AI Co-teacher Platform Contributions
Year-Round Workshops
1-Day AI Builder Workshop • Regular community events • Discovery sessions
Expert-Led Mentorship Team
Our team comprises a Yale-trained data scientist with 12+ years leading CS education in K-12 settings, alongside a Stanford-educated technology developer with 12+ years designing curricula and tools for schools.
Program Director
Yale-Trained Data Scientist
12+ years leading computer science education in K-12 settings, AI researcher with expertise in educational technology and bias detection.
Technical Director
Stanford-Educated Technology Developer
12+ years designing curricula and educational tools for schools, expert in AI application development and learning frameworks.
Research Collaborators
Subject Matter Experts
Psychology researchers at Brown University and domain experts across AI ethics, computational neuroscience, and applied AI development.
Program Investment
Premium mentorship and real research outcomes justify the investment. Compare to $40K+ university programs with less personalized attention.
Foundations of Programming
From $5,850
25 weeks • Academic year • Java or Python
30 hours mentorship (1:1 or small group ≤3)
Private Slack support
AI Co-teacher platform access
Project portfolio development
Programming language mastery
1:1 Mentorship: $6,750
Small Group (≤3): $5,850/student
Academic Year Focus
From $10,000
20 weeks • Academic year only
25 hours 1:1 mentorship
Private Slack support
AI Co-teacher platform access
Research paper draft OR technical contribution
Competition preparation support
Comprehensive Year-Round
From $12,500
30 weeks • Including summer intensive
35 hours 1:1 mentorship
Private Slack support
AI Co-teacher platform access
Research publication OR major contribution
Summer research intensive
Priority publication support
Application for Admission
We seek intellectually curious students ready for rigorous research and real-world impact. Only 10 students will be selected for the upcoming cohort.
Application Requirements Preview
Student Information: Name, contact details, school, grade level
Program Selection: Preferred track and program option
Experience Essay: Previous AI/programming background or interest explanation
Motivation Essay: Why SeqHub AI Academy and your goals
Time Commitment: Confirmation of 3-4 hours weekly availability
Applications reviewed within 5 business days • Interview required • Rolling admissions
At SeqHub, we help you master AI as your co-pilot, not your autopilot. You’ll build projects
that showcase your unique vision using our AI
co-teacher platform guided by our LTD framework: Look attentively, Think critically, Do independently.
Our AI co-teacher connects your personal interests with structured learning goals, and you'll learn from AI practitioners who understand both technology and education.
We empower students to think critically, create meaningfully, and lead with purpose in a world increasingly influenced by AI. We believe AI should elevate thinking, not replace it. Through thoughtful pedagogy and powerful technology, our programs build more than just technical fluency; we nurture independent thinking, intellectual curiosity, and cognitive resilience.
Our Learning Tracks
AI BIAS RESEARCH TRACK
Curriculum designed in collaboration with social psychologists and researchers at Brown University. Students explore representation issues in language models and develop practical audit tools.
APPLIED AI TRACK
Work with practicing AI engineers to build hands-on projects. Learn prompting, APIs, and the tools and techniques to create your own or contribute to AI-powered solutions.
Our Offerings
Trusted by
Why Our Offerings Stand Out
Master Concepts
with LTD
Master coding concepts with SeqHub AI Academy’s Look-Think-Do (LTD) framework; an interactive, AI-powered approach that replaces passive learning with hands-on practice, guided explanations, code analysis, and expert feedback to help you think, predict outcomes, and solve problems like a pro.
Enhance Your Coding
with AI Tools
Enhance your coding skills with AI tools while maintaining independence and critical thinking. SeqHub AI Academy teaches you to collaborate with LLM coding assistants to write and debug code, understand their strengths and limitations, and build real-world projects.
Create Real-World AI-Powered Applications
Go beyond using AI; At SeqHub AI Academy, you’ll build AI-driven applications that solve real-world problems, gaining hands-on experience integrating generative AI, fine-tuning models, and deploying practical AI solutions.
360° Support
System
AI education can be challenging, but at SeqHub AI Academy, no student learns alone. Our weekly live office hours, 24/7 Slack community, and interactive peer network create a fully immersive support system where students collaborate, ask questions, and solve problems together.
What to Expect in Your Learning Experience
Project-Based,
Practical Learning
You’ll work on structured AI projects, of your own design or based on SeqHub research and application projects ranging from algorithmic bias audits in large language models, simple chatbot development and healthcare AI solutions.
Mentorship and
Expert Guidance
Mentor-Guided students receive direct support from experienced AI practitioners through live sessions and 1:1 mentoring.
Self-Paced students have access to structured resources and guided exercises.
Capstone
Projects
Student-Envisioned Capstone – Design and build your own AI project based on your interests. Tackle real-world challenges by developing AI solutions for issues like bias in AI models or healthcare applications.
What Learners Are Saying
From our LLM Summer Immersion Program
Here's what our learners built in 4 weeks
Meet our Co-Founders
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Co-founder
SeqHub AI Academy
Taiwo is an educator, data scientist, and social entrepreneur dedicated to nurturing young talent by equipping them with tools to be confident problem-solvers. He is the head of a thriving K–12 computer science program, where he excels at making complex technical concepts accessible for learners of all ages. With a Ph.D. in Computational Biology and Bioinformatics from Yale University and an Executive Master's in Technology Leadership from Brown University, Taiwo combines over twelve years of interdisciplinary experience in academia and industry to create rich, meaningful learning environments. At SeqHub AI Academy, Taiwo draws on his background in data strategy and AI research to design engaging, effective learning pathways. As Founder of a Data Science Consulting company that develops AI solutions for businesses from AI-powered chatbots for Sickle Cell Anemia support to education-focused conversational systems, he ensures the academy's curriculum connects directly with real-world applications. Currently a Visiting Scientist at Brown University's Race Identity and Social Environments (R.I.S.E.) Lab, Taiwo explores perceptions of fairness in machine learning algorithms, tackling critical questions at the intersection of AI and society. His commitment to preserving student agency while unlocking AI's potential underscores the academy's mission: to inspire the next generation of responsible, creative, AI-fluent problem-solvers.
Co-founder
SeqHub AI Academy
J is an educator and programmer with a proven track record of designing innovative curricula and building technological tools that enhance both learning and organizational efficiency. A Stanford-educated history enthusiast, he combines a passion for understanding how systems work with a focus on creating impactful, user-friendly applications. For over a decade, J has taught subjects ranging from ancient cultures to robotics, bringing a dynamic, interdisciplinary approach to education. Beyond the classroom, he has developed web-based solutions that streamline administrative tasks for an entire school and AI-powered solutions that enhance student learning, effectively merging pedagogy with practical technology to elevate the student learning experience. At SeqHub AI Academy, J integrates his deep teaching expertise with technical know-how to foster hands-on, transformative projects. Drawn to the academy's commitment to serving diverse communities, from high schoolers in the U.S. to university scholars in Nigeria, he brings a unique ability to adapt learning experiences for any age group and the empathy needed to meet learners where they are. Under his guidance, the academy's technology is thoughtfully architected to support the pedagogical vision, ensuring AI tools enhance rather than dictate the learning journey. His approach keeps the curriculum both accessible and challenging, helping students gain not just digital fluency but also the confidence to innovate in an AI-driven world.
Best in Class Features
Personalized Learning Paths
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Advanced Analytics & Reporting
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Mobile-Friendly Access
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Our Student Voices
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Frequently Asked Questions
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Project-based research and development experiences in artificial intelligence.
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