AI SKILL BASED SUMMER CAMP 2025
Are you ready to embark on a transformative journey into the world of Artificial Intelligence (AI)?
PROGRAM
Join our 6-week
100-hour immersive summer camp designed for Grades 9–12 students.
DURATION
Session 1:
June 23 – August 1, 2025
Session 2:
Coming Soon
MODE OF LEARNING
Flexible Format
Attend In-Person, Virtually,
or in Hybrid format
INSIGHTS
Live Sessions
Hands-On Learning
Guest Speakers
Capstone Projects
Description
Associated With

Prerequisites
This course needs no introduction — and no prior experience either. The AI Skill-Based Summer Camp 2025 is completely beginner-friendly, making it the perfect starting point for high school students eager to explore the world of Artificial Intelligence. You don’t need a background in coding or hands-on tech experience — just curiosity and a passion to learn. Through step-by-step guidance, interactive projects, and supportive mentors, students will dive into AI fundamentals with confidence, discovering how powerful ideas come to life through simple, engaging learning.
Why You Should Join Us?
Proud Partners of NVIDIA


The knowledge WE build
1
Explore and articulate the historical background of artificial intelligence, tracing its origins and core principles.
2
Leverage advanced generative AI tools to understand and create innovative things.
3
Apply prompt engineering strategies to optimize application performance and achieve impactful results.
4
Leverage generative AI for tasks like summarizing videos, conducting research, and understanding data.
5
Explore opportunities, ethical issues, and potential obstacles in digital transformation through generative AI implementation.
6
Reduce risks, safeguard data privacy, and improve customer experience by leveraging Gen AI technologies and tools.
OBJECTIVES
Course Objectives for AI Skills-Based Summer Camp 2025
- Understand Core AI Concepts: Gain a foundational understanding of Artificial Intelligence, including its origins, Python programming basics, and ethical considerations, to build a strong knowledge base for further exploration.
- Master Data Science and Machine Learning: Learn essential data science techniques and machine learning fundamentals, enabling students to analyze data and create predictive models using Python.
- Explore Deep Learning Applications: Develop skills in deep learning by designing and training neural networks, applying these techniques to real-world scenarios through hands-on projects.
- Specialize in Industry-Relevant AI Tracks: Choose a specialization track (AI for Healthcare, Finance, or Gaming) to build and apply AI models tailored to specific industries, fostering practical expertise.
- Create and Present a Capstone AI Project: Design, develop, and showcase an original AI model in a final capstone project, demonstrating technical skills and creative problem-solving.
- Engage with AI Experts and Industry Leaders: Interact with guest speakers and mentors to gain insights into AI careers, industry trends, and real-world applications.
- Develop Collaboration and Presentation Skills: Work on group activities and present projects to peers and experts, enhancing teamwork, communication, and confidence.
The AI Skills-Based Summer Camp 2025 equips high school students (Grades 9–12) with the tools to dive into Artificial Intelligence through a dynamic, hands-on 6-week program. Students will master AI fundamentals, from Python coding to machine learning and deep learning, while exploring ethical implications. By choosing a specialized track—Healthcare, Finance, or Gaming—they’ll apply AI to real-world challenges, culminating in a capstone project showcased to peers and industry leaders. With no prior experience needed, the camp fosters technical skills, collaboration, and career insights through expert mentorship and guest speakers, preparing teens to shape the future with AI.
Empowering Students to Shape Tomorrow Through Hands-On AI Innovation

AI COURSE FEE
Course Duration
- Duration: 6 weeks
- Live Sessions: 2 days per week (Tuesdays & Thursdays)
- Session Time: 5–7 PM EST
- Cohort Options:
- June 23 – August 1, 2025
Course Contents
Week 1: Foundations of AI and Python
Introduction to Artificial Intelligence
Explore the history, evolution, and societal impact of AI.
Understand key AI terminology and concepts (e.g., algorithms, models).
Python Programming Basics
Learn Python syntax, variables, loops, and functions.
Write simple programs to solve problems using Python libraries (e.g., NumPy).
AI Ethics and Responsibility
Discuss ethical dilemmas in AI (e.g., bias, privacy).
Explore guidelines for responsible AI development.
Activity: Build a simple AI chatbot using Python to understand rule-based systems.
Useful Addition: Group discussion on real-world AI applications (e.g., self-driving cars, virtual assistants) to spark curiosity.
Week 2: Data Science and Machine Learning Fundamentals
Introduction to Data Science
Learn data collection, cleaning, and visualization techniques.
Use tools like Pandas and Matplotlib for data analysis.
Machine Learning Basics
Understand supervised vs. unsupervised learning.
Train a simple machine learning model (e.g., linear regression, decision trees).
Hands-On Project
Create a predictive model using a dataset (e.g., predicting house prices).
Activity: Visualize data trends and present insights to peers.
Useful Addition: Introduction to version control with Git to manage code, fostering collaboration skills.
Week 3: Deep Learning and Mid-Camp Project
Deep Learning Fundamentals
Explore neural networks, layers, and activation functions.
Use frameworks like TensorFlow or PyTorch to build a basic neural network.
Applications of Deep Learning
Study real-world uses (e.g., image recognition, natural language processing).
Experiment with pre-trained models for tasks like object detection.
Mid-Camp Project
Develop an AI model (e.g., classifying images or text sentiment).
Present project progress to mentors and peers for feedback.
Activity: Debug and optimize a neural network with guidance from instructors.
Useful Addition: Workshop on hyperparameter tuning to improve model performance, preparing students for advanced AI tasks.
Week 4: Industry Specialization Tracks and Capstone Project
Specialization Tracks (Choose One)
AI for Healthcare
Build models for disease prediction (e.g., diabetes risk analysis).
Explore medical imaging and AI diagnostics.
AI for Finance
Learn stock forecasting with machine learning algorithms.
Analyze financial datasets for trends and predictions.
AI for Gaming
Create an AI-powered game bot using reinforcement learning.
Design game logic with AI-driven decision-making.
Week 5: Lectures and Projects
Capstone Project Week 1
Week 6: Lectures and Projects
Capstone Project Week 2
Capstone
Capstone Project
Develop an original AI model based on the chosen track.
Integrate concepts from weeks 1–3 (e.g., data science, ML, deep learning).
Final Showcase
Present capstone projects to peers, mentors, and guest speakers.
Compete for Best Project Awards with expert feedback.
Activity: Document the project in a portfolio format (e.g., GitHub repository or slides).
Useful Addition: Career panel with AI professionals to discuss job roles, skills, and future trends, inspiring students for post-camp goals.
Prerequisites
The student must have a high school diploma or GED equivalent. Basic python programming and data analysis skills are recommended