Generative AI
Developer Course for High School Students
Launch Your Future in Artificial Intelligence with our 18-Week Comprehensive Program
Welcome to Your AI Journey
Get Extra Advantage for your college admissions
Bright, hardworking, and exceptional students will be considered for 2-month summer internships upon program completion.
The world is being transformed by artificial intelligence, and the opportunities ahead belong to those who understand how to build with it. This course isn’t about watching from the sidelines, it’s about becoming a creator in the AI revolution.
Whether you dream of building the next breakthrough application, solving real-world problems with technology, or simply understanding the tools reshaping every industry, this program will give you practical skills that matter. You’ll write code, build working applications, and create a portfolio that demonstrates your capabilities.
This isn’t a theory. It’s hands-on creation. By the time you finish, you’ll have built intelligent systems that would have seemed like science fiction just a few years ago.
The Numbers Don't Lie:
75% of companies will adopt AI by 2027, creating millions of new jobs
AI skills boost starting salaries by 40-60% across all industries
90% of future jobs will require some level of AI literacy
Early AI adopters see 3x faster career advancement
The Numbers Don't Lie:
75% of companies will adopt AI by 2027, creating millions of new jobs
AI skills boost starting salaries by 40-60% across all industries
90% of future jobs will require some level of AI literacy
Early AI adopters see 3x faster career advancement
The Opportunity Window is Now:
The Opportunity Window is Now:
Right now, AI is accessible, learnable, and not yet saturated. You can become an AI native who doesn’t just use AI tools but understands, builds, and shapes them. Whether your future is in medicine, business, engineering, arts, or any field, AI fluency will be your competitive superpower.
The Cost of Waiting:
The Cost of Waiting:
Every month you delay, thousands of your peers gain AI advantages. Companies are already prioritizing AI-skilled candidates. The gap between AI-literate and AI-illiterate professionals grows daily.
Generative AI Developer Course for High School Students
Launch Your Future in Artificial Intelligence
An 18-Week Comprehensive Program: 12 Weeks Training + 6 Weeks Collaborative Capstone Project.
Get extra advantage for your college admissions. Bright, hardworking, and exceptional students will be considered for 2-month summer internships upon program completion.
Course Overview:
Total Duration: 18 Weeks
Phase 1 – Core Curriculum: 12 Weeks (November 13, 2025 – February 12, 2026)
Phase 2 – Capstone Project: 6 Weeks (February 19, 2026 – March 26, 2026)
Schedule: Every Thursday, 8:00 PM – 10:00 PM EST
Winter Break: December 19, 2025 – January 4, 2026 (No Classes)
Total Learning Time: 24 hours classroom instruction + 36 hours guided projects and exercises + 12 hours capstone collaboration
Format: Live Online Sessions with Hands-On Projects, Weekly Practice Exercises, and Team-Based Capstone
Prerequisites: Basic Python programming exposure will be good to have. Curiosity and commitment to learning are all you need.
Program Timeline
November 13, 2025 – Program begins, Week 1
December 19, 2025 – January 4, 2026 – Winter break
February 12, 2026 – Core training concludes, Week 12
February 19, 2026 – Capstone phase begins, teams formed
March 26, 2026 – Program completion and final presentations
Program Structure
Phase 1: Core Training (Weeks 1-12)
Duration: November 13, 2025 – Feb 12, 2026
Build your foundation in AI development through structured weekly sessions. Each week includes:
● 2-hour live instruction and hands-on practice
● Weekly exercises to reinforce concepts
● Progressive project development
● Individual skill building
Phase 2: Capstone Project (Weeks 13-18)
Duration: Feb 19, 2026 – March 26, 2026
Apply everything you’ve learned in a collaborative team project. During this phase:
● Work in small cohorts (4-5 students per team)
● Build a substantial AI application from concept to deployment
● Collaborate with peers on design, development, and presentation
● Receive mentorship throughout the development process. No classes will be there during Capstone Project.
● Present your work to the class and receive feedback. A date will be decided where each team will present their project.
Working in cohorts mirrors real-world software development, teaching you collaboration, project management, and teamwork—skills as valuable as the technical knowledge itself.
Summer Internship Opportunities
Pathway to Professional Experience:
Outstanding students who demonstrate exceptional commitment, technical excellence, and collaborative skills throughout the 18-week program will be considered for 2-month summer internships with Decrypting AI.
What Makes a Candidate Stand Out:
- Consistent completion of weekly exercises with high quality
- Strong performance in individual and team projects
- Active participation and peer support in class
- Initiative in exploring advanced topics
- Professional communication and collaboration
- Outstanding capstone project execution
Internship Experience Includes:
- Real-world AI development projects
- Mentorship from experienced AI developers
- Portfolio-building opportunities
- Professional networking
- Letter of recommendation upon successful completion
Selection Process:
- Evaluation throughout the 18-week program
- Capstone project presentation quality
- Instructor recommendations
- Final interview with internship program coordinator
This represents an exceptional opportunity to gain professional experience before college, strengthen your resume, and continue your AI development journey.
Who Is This Course For
High School Students who want to:
- Build real AI applications, not just learn theory.
- Gain skills that set them apart for college applications.
- Explore potential career paths in technology.
- Create projects they can be proud of.
- Understand the technology shaping their generation’s future.
- Learn to work effectively in technical teams.
- Potentially gain professional internship experience.
Some Python programming exposure will be good, but we’ll teach you everything you need, starting from the foundations.
What You’ll Build
Individual Projects (Weeks 1-12)
- Intelligent Chatbot with personality and context awareness
- Smart Search Engine that understands meaning, not just keywords
- AI Study Assistant that answers questions from your documents
- Visual Storytelling Application that analyzes images and creates narratives
- Personal Research Agent that gathers and synthesizes information
Team Capstone Project (Weeks 13-18)
Working in your cohort, you will create a comprehensive AI application that demonstrates:
- Advanced integration of multiple AI capabilities
- Professional user interface and experience
- Real-world problem-solving
- Team collaboration and project management
- Deployment and documentation
Each project will be portfolio-ready and demonstrate real-world problem-solving capability.
Learning Outcomes
Upon completion, you will be able to:
- Write Python code to build AI-powered applications.
- Integrate AI APIs to add intelligence to your programs.
- Build search systems that understand context and meaning.
- Create chatbots and assistants that hold conversations.
- Work with images, audio, and text using multimodal AI.
- Design intelligent agents that can plan and execute tasks.
- Deploy applications that others can use.
- Collaborate effectively in technical teams.
- Manage projects from concept to completion.
- Think critically about AI’s capabilities and limitations.
These are professional skills used by developers at leading technology companies.
Detailed Weekly Curriculum
PHASE 1: CORE TRAINING (12 WEEKS)
Weeks 1-2: Foundation Building
Week 1 (Nov 13): Python Programming Essentials
- Setting up your development environment
- Python basics: variables, data types, and operations
- Control flow: making decisions and repeating actions
- Functions: organizing and reusing your code
- Working with lists, dictionaries, and data structures
- Weekly Exercise: Build a simple text-based game with multiple features
Week 2 (Nov 20): Introduction to AI
- What is artificial intelligence and how does it work?
- Large language models explained simply
- Understanding AI capabilities and limitations
- Your first AI interaction using Python
- Best practices for working with AI safely and ethically
- Weekly Exercise: Create multiple programs that interact with AI in different ways
Weeks 3-4: Building Your First AI Applications
Week 3 (Nov 27): Connecting to AI Services
- Understanding APIs: how programs talk to each other
- Setting up your OpenAI account and API safely
- Making your first AI API call
- Understanding tokens: how AI counts and processes text
- Best practices for API key management
- Weekly Exercise: Experiment with different AI prompts and analyze token usage
- Project Part 1: Start building your intelligent chatbot
Week 4 (Dec 4th): Controlling AI Responses
- Temperature and creativity: making AI predictable or surprising
- System prompts: teaching AI how to behave
- Managing conversation history and context
- Cost optimization strategies
- Error handling and debugging
- Weekly Exercise: Build variations of your chatbot with different personalities and capabilities
- Project Complete: Launch your fully functional AI chatbot
Weeks 5-6: Teaching AI to Understand Meaning
Week 5 (Dec 11th): Introduction to Embeddings
- Why keyword search fails and embeddings succeed
- Converting text into mathematical representations
- Measuring similarity between different texts
- Understanding vector spaces (simplified)
- Creating and manipulating embeddings
- Weekly Exercise: Compare embeddings across different types of text and languages
- Project Part 1: Build a basic similarity finder
Week 6 (Dec 18th): Building Semantic Search
- Creating embeddings for multiple documents
- Comparing and ranking by relevance
- Building a search interface
- Testing across different types of content
- Optimizing search performance
- Weekly Exercise: Test your search engine with various document types and improve results
- Project Complete: Deploy your semantic search engine
Weeks 7-8: Creating AI That Knows Your Documents
Week 7 (Jan 8th): Vector Databases and RAG
- What is Retrieval-Augmented Generation?
- Setting up your first vector database
- Storing and retrieving information efficiently
- Chunking: breaking documents into useful pieces
- Understanding retrieval strategies
- Weekly Exercise: Practice chunking different document types and optimize retrieval
- Project Part 1: Build the foundation of your study assistant
Week 8 (Jan 15th): Building a Complete RAG System
- Uploading and processing your study materials
- Creating smart question-answering systems
- Building a user interface with Streamlit
- Testing and improving accuracy
- Advanced RAG techniques
- Weekly Exercise: Add new features to enhance your study assistant
- Project Complete: Launch your AI study assistant
Weeks 9-10: Working with Images and Audio
Based on Week 4 of Professional Curriculum
Week 9 (Jan 22): AI That Sees
- Introduction to computer vision AI
- Analyzing images and describing what’s in them
- Asking questions about images
- Combining text and visual understanding
- Understanding limitations and edge cases
- Weekly Exercise: Analyze different types of images and compare AI responses
- Project Part 1: Build image analysis features
Week 10 (Jan 29): AI That Speaks and Listens
- Converting speech to text (transcription)
- Converting text to speech (voice synthesis)
- Combining vision, text, and audio
- Creating multimodal experiences
- Building accessible applications
- Weekly Exercise: Create audio narrations for different scenarios and combine modalities
- Project Complete: Finish your visual storytelling application
Real-World Applications: Accessibility tools, content creation, educational platforms, multimedia automation
Weeks 11-12: Building Intelligent Agents
Based on Week 5 of Professional Curriculum
Week 11 (Feb 5): Introduction to AI Agents
- What makes an agent different from a chatbot?
- Understanding state, memory, and decision-making
- Introduction to LangGraph framework
- Building your first simple agent
- Designing agent workflows
- Weekly Exercise: Create agents with different decision-making strategies and memory patterns
- Project Part 1: Create an agent that can remember and plan
Week 12 (Feb 12): Multi-Step Reasoning Agents
- Giving agents tools to use
- Creating workflows with multiple steps
- Building agents that research and synthesize information
- Testing and debugging agent behavior
- Understanding agent limitations and safety
- Weekly Exercise: Enhance your agent with additional capabilities and tools
- Project Complete: Deploy your personal research assistant
PHASE 2: CAPSTONE PROJECT (6 WEEKS)
Feb 19, 2026 – March 26, 2026 (Students work in projects)Week 13 (Feb 19): Project Planning and Team Formation
- Introduction to capstone project requirements
- Formation of student cohorts (3-4 students per team)
- Brainstorming and project ideation
- Defining project scope and objectives
- Creating project timeline and task assignments
- Deliverable: Project proposal and timeline
Week 14 (Feb 26): Design and Architecture
- System architecture design
- User interface planning and wireframing
- Technology stack selection
- Data flow and integration planning
- Team role assignment and workflow setup
- Deliverable: Design document and technical architecture
Week 15 (Mar 5th): Core Development – Phase 1
- Backend development and API integration
- Database setup and data processing
- Initial feature implementation
- Code review and quality assurance within teams
- Progress check-in with instructor
- Deliverable: Working backend and data pipeline
Week 16 (Mar 12th): Core Development – Phase 2
- Frontend development and user interface
- Integration of AI components
- Feature completion and refinement
- Testing and debugging
- Mid-project presentation to class
- Deliverable: Functional prototype
Week 17 (Mar 19th): Testing, Refinement, and Documentation
- Comprehensive testing and bug fixes
- Performance optimization
- User documentation creation
- Code documentation and comments
- Presentation preparation
- Deliverable: Polished application and documentation
Week 18 (Mar 26th): Final Presentations and Showcase
- Team presentations to entire class
- Live demonstrations of applications
- Q&A and peer feedback
- Reflection on learning and collaboration
- Celebration of achievements
- Deliverable: Final presentation and deployed application
Cohort Collaboration Structure
Cohort Formation
- Students are grouped into teams of 3-4 based on interests and complementary skills
- Each cohort functions as a mini development team
- Teams meet during Thursday sessions and coordinate between classes
Team Roles
- Project Manager: Coordinates tasks and timelines
- Lead Developer: Oversees technical architecture
- AI Engineer: Focuses on AI integration and optimization
- UX/Documentation Lead: Ensures usability and documentation
- Students rotate through different responsibilities to gain diverse experience
Collaboration Tools
- Shared code repositories (GitHub)
- Project management boards
- Team communication channels
- Regular instructor check-ins
Learning Objectives
- Professional collaboration skills
- Git and version control for team projects
- Code review and quality assurance
- Agile development practices
- Presenting technical work
Capstone Project Options
Team Project Options
Teams will choose from these options or propose their own:
- Smart Study Platform – Comprehensive learning management system with AI tutoring
- Creative Content Studio – Multi-tool platform for AI-assisted content creation
- Personal Productivity Suite – Integrated assistant for scheduling, research, and task management
- Accessibility Toolkit – Applications making content accessible through AI
- Educational Game Platform – Interactive learning with AI-powered feedback
- Community Knowledge Base – Collaborative documentation system with intelligent search
- Healthcare Information Assistant – Symptom research and health information aggregator
- Career Exploration Platform – AI-powered guidance for career planning and skill development
- Environmental Data Analyzer – Tools for understanding climate and environmental data
- Custom Team Proposal – Original idea approved by instructor
What You'll Need
Technical Requirements
- Computer (Windows, Mac, or Linux) with internet access
- Minimum 8GB RAM recommended
- Ability to install software (with parent/guardian permission if needed)
- Webcam and microphone for live sessions
Assessment and Recognition
How You’ll Be Evaluated
Individual Assessment (70%):
- Weekly Exercises (25%) – Consistent practice and skill building
- Individual Projects (25%) – Functionality of weekly projects
- Participation and Collaboration (20%) – Engagement and helping peers
Team Assessment (30%):
- Capstone Project Quality (15%) – Technical execution and functionality
- Team Collaboration (5%) – Contribution to team success
- Final Presentation (10%) – Communication and demonstration skills
Certificate of Completion
Students who successfully complete the 18-week program receive a professional certificate demonstrating:
- 24 hours of live AI development instruction
- 12 weeks of individual project development
- 12 weekly exercise completions
- 6+ working AI applications in individual portfolio
- Team-based capstone project experience
- Practical skills in Python, AI APIs, system design, and collaboration
- Professional presentation and documentation capabilities
This certificate and portfolio can strengthen:
- College applications (demonstrated technical initiative and teamwork)
- Scholarship applications (unique skillset and project experience)
- Internship opportunities (practical experience and portfolio)
- Future career exploration (foundation in AI and software development)
Investment in Your Future
This 18-week program provides skills that typically require months of self-study and trial-and-error. The hands-on approach ensures you build real applications, not just complete exercises. The capstone phase adds invaluable team collaboration experience that mirrors professional software development.
What This Prepares You For
- College Readiness: Computer science, engineering, data science programs
- Career Exploration: Software development, AI engineering, data analysis
- Entrepreneurship: Building your own AI-powered products or s
Important Notes for Students and Parents
Academic Balance
This course is designed to fit alongside school commitments. The Thursday evening schedule and reasonable time commitment (4-5 hours per week during training, 5-6 hours during capstone) allow students to maintain their academic priorities while gaining valuable technical skills.
Weekly Practice Structure
Each week includes targeted exercises that reinforce classroom learning. These exercises are designed to be completed within the weekly time commitment and progressively build skills throughout the program.
Team Project Experience
The capstone phase introduces collaborative work, teaching students how to work effectively in technical teams—a critical skill for college and career success. Teams are structured to ensure every student contributes meaningfully.
Internship Opportunity
The summer internship opportunity is merit-based and competitive. While not guaranteed, it provides exceptional students with a clear pathway to professional experience. All students benefit from the comprehensive 18-week program regardless of internship selection.
No Prior Experience Needed
We start from the fundamentals. Students with no programming background are welcome and will be fully supported.
Parental Involvement
Parents/guardians will receive:
- Regular progress updates
- Access to student work and projects
- Communication about technical needs
- Resources to understand what students are learning
- Updates on team project progress
- Information about internship opportunities and selection process
Safe Learning Environment
- All online interactions are monitored and professional
- Code of conduct ensures respectful collaboration
- Team dynamics are monitored to ensure positive experiences
- Technical support available for setup and troubleshooting
- Privacy and data security maintained throughout
OUR TESTIMONIAL
MEET YOUR AI TRAINER
Learn from industry experts who’ve built AI systems used by millions and understand exactly what employers want in AI talent.
Ready to Start Your AI Journey?
Next Steps:
- Program begins November 13, 2025. Enrollment is limited to ensure personalized attention and optimal learning outcomes.
- This is your opportunity to move from consuming technology to creating with it. The skills you’ll gain are not just relevant today—they’re foundational for the careers and challenges of tomorrow.
- Over 18 weeks, you’ll transform from a beginner to a confident AI developer with a portfolio that proves your capabilities. You’ll learn not just to code, but to collaborate, to solve problems, and to bring ideas to life. For those who excel, the path continues with professional internship opportunities.
Program begins November 13, 2025. Enrollment is limited to ensure personalized attention and optimal learning outcomes.
This is your opportunity to move from consuming technology to creating with it. The skills you’ll gain are not just relevant today—they’re foundational for the careers and challenges of tomorrow.
Over 18 weeks, you’ll transform from a beginner to a confident AI developer with a portfolio that proves your capabilities. You’ll learn not just to code, but to collaborate, to solve problems, and to bring ideas to life. For those who excel, the path continues with professional internship opportunities.
"The best time to plant a tree was 20 years ago. The second-best time is now. The same is true for learning AI."
The future of AI is being built now. Your generation will define how it’s used. Start building.
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