NextGen Education: Innovative AI Learning for a Brighter Future

13

WEEKS

52

HOURS OF LIVE CLASSES

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No previous coding or AI experience required!

Applications are open for cohorts starting January 2025. Each cohort meets twice per week with two instructors and 20 students. Applicants must be between 14-18 years of age and enrolled in grade 10-12 in September 2024. Get a verifiable digital credential upon program completion.

Why Join NextGen EDU

NextGen EDU is a registered non-profit organization developed to meet the growing need for access to in-depth artificial intelligence learning and training programming for high-school students. With the growing importance of AI both nationally and internationally NextGen EDU is bridging the gap between AI learning and the real world.

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NextGen EDU

1:1 Coaching

Community

Online

PROJECT-BASED

Personal coaching

On top of group sessions, receive 1:1 coaching monthly with instructors to get feedback on projects, aid in debugging, review concepts from sessions and much more.

Solve real problems

Work with real companies to solve a current problem in a two-week team challenge. Also develop your own AI project with the help of mentors and instructors to launch an AI startup.

Live Sessions

Participate in 26 live, online, instructor led group sessions where you will learn more about the power of AI, how to develop AI applications and learning and build alongside other high-performing students.

Join a Community

Join a community of like-minded students. Chat, share ideas, collaborate on projects, and talk about the latest innovations in AI both inside and outside of sessions utilizing our community platform.

Schedule

Program terms:

Jan 8th-June 7th, 2025

Choose your sessions:

Cohort 1

Wednesdays 7:00 PM - 9:00 PM
Saturdays 9:00 AM - 11:00 AM

Cohort 2

Thursdays 7:00 PM - 9:00 PM
Saturdays 1:00 PM -3:00 PM

Program Outline

The NextGen EDU Program features 6 modules to advance your knowledge and skills in AI.

AI Foundations: Python & Beyond

Data Diving: Understanding AI Datasets

Algorithm Adventures: Machine Learning Essentials

Corporate Challenge: AI in Action

AI Ethics & Society: Responsible AI Development

Capstone Creations: Building AI for Good

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Develop your own AI project

Over three weeks, with the help of instructors and mentors, you will have the chance to develop your own AI project in a small group. Projects can be utilized in College and University admissions, or be further developed into a real AI startup.

Diagnostics

Create a machine-learning model that analyzes medical imaging data to identify early signs of disease. Train a convolutional neural network on datasets of MRIs to detect anomalies like tumours or fractures, providing a valuable tool for diagnostic accuracy and early treatment.

Predictive Care

Develop a machine learning system that uses patient history and real-time health data to predict future medical events, such as hospitalizations or disease flare-ups. This project could involve training models on diverse datasets including electronic health records, wearable device data, and environmental factors, aiming to provide personalized care recommendations and preventative measures.

Drug Discovery

Develop a machine learning model that has been utilized to accelerate the drug discovery process by predicting the efficacy and safety of potential drug compounds. This approach involves using deep learning techniques to analyze chemical structures and their interactions with biological targets, significantly reducing the time and cost associated with pharmaceutical development while identifying promising candidates for further testing.

Fact-Checking

Create a machine learning tool that enhances fact-checking efforts in journalism by automatically verifying claims made in articles and social media posts. This system leverages natural language processing to parse and compare statements against trusted data sources, streamlining the validation process and helping to maintain journalistic integrity in a fast-paced information environment.

Personalized News Recommendations

Develop a machine learning system that delivers personalized news recommendations by analyzing user preferences and reading habits. This tool utilizes algorithms to filter and suggest articles based on individual interests, past interactions, and trending topics, ensuring readers receive news that is not only relevant but also timely, thereby enhancing user engagement and satisfaction.

Natural Language Generation

NLG technology can generate news articles from raw data or structured information, enabling journalists to produce content faster.

Traffic Prediction and Optimization

Develop a machine learning model that has been effectively used to predict traffic conditions and optimize routes in real-time. This system analyzes historical and real-time data from various sources, including road sensors, GPS devices, and traffic cameras, to forecast traffic flow and suggest the most efficient routes, reducing travel time and congestion in urban areas.

Autonomous Vehicles

Implement a machine learning model that supports the development of autonomous vehicles by enhancing their ability to understand and navigate complex environments. This system processes data from sensors, cameras, and LIDAR to accurately detect obstacles, predict the behavior of other road users, and make real-time driving decisions, contributing to safer and more efficient roadways.

Smart Mobility Solutions

Develop a machine learning framework that has been utilized to enhance smart mobility solutions across urban environments. This system integrates data from public transportation, traffic management, and user feedback to optimize transit routes, reduce waiting times, and improve overall service efficiency, facilitating smoother and more sustainable urban travel.

AI-Generated Art

Implement a machine learning model that has been used to create unique AI-generated artworks. This system utilizes algorithms like generative adversarial networks (GANs) to analyze existing art styles and generate new pieces that blend various artistic elements. It has enabled artists and designers to explore new creative possibilities and expand the boundaries of visual expression.

Artistic Assistance

Artists can use AI tools to assist them in the creative process, such as generating preliminary sketches, suggesting color palettes, or providing feedback on compositions, allowing for more efficient and innovative artistic exploration.

Art Analysis and Curation

Implement a machine learning system that has been effectively used for art analysis and curation. This tool leverages deep learning to evaluate art styles, techniques, and historical significance, assisting curators in organizing exhibitions that reflect thematic and aesthetic connections. Additionally, it provides insights into art trends and artist influence, enriching the experience for both galleries and visitors.

Personalized Learning Paths

Develop a machine learning model that has been utilized to create personalized learning paths in education. This system analyzes individual student performance, learning styles, and preferences to tailor educational content and pacing, ensuring that each student receives instruction that best suits their needs and promotes optimal learning outcomes.

Intelligent Tutoring

Implement a machine learning system that has been used to develop intelligent tutoring systems, offering personalized educational support to students. This technology assesses students' knowledge gaps and learning speeds to provide real-time feedback, customized problem sets, and interactive lessons, effectively simulating one-on-one tutoring experiences.

Automated Grading

Develop a machine learning tool that has been employed for automated grading of student assignments and exams. This system accurately evaluates written responses, multiple-choice questions, and even complex mathematical problems, streamlining the grading process and providing consistent, objective feedback to students, which allows educators to focus more on teaching and less on administrative tasks.

Algorithmic Trading

Implement a machine learning model that has been effectively used in algorithmic trading to analyze market data and execute trades at optimal times. This system leverages advanced algorithms to predict market trends and price movements based on historical data and real-time market conditions, enhancing trading strategies and profitability for investors.

Fraud Detection and Prevention

Develop a machine learning system that has been successfully used for fraud detection and prevention in the finance sector. This tool analyzes transaction patterns and behaviors to identify anomalies that may indicate fraudulent activity, offering real-time alerts and minimizing financial risks for banks and their customers.

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Personalized Financial Advice

AI-powered financial advisory platforms use machine learning algorithms to analyze individual financial data, goals, and risk tolerance, providing personalized recommendations for investments, savings strategies, and retirement planning.

Energy Optimization

Designing an energy optimization system utilizing machine learning algorithms such as reinforcement learning and deep neural networks to analyze energy consumption patterns and identify opportunities for efficiency improvements. By leveraging data from IoT sensors and smart meters, this solution dynamically adjusts energy usage in buildings or industrial processes, reducing carbon footprint and operational costs while maximizing sustainability efforts.

Environmental Monitoring

Developing an environmental monitoring platform powered by machine learning models, including convolutional neural networks and random forests, to analyze satellite imagery and sensor data. By detecting patterns in vegetation health, pollution levels, and wildlife habitats, this system provides real-time insights to aid in conservation efforts, ecosystem management, and disaster response, ensuring proactive measures for environmental preservation and biodiversity conservation.

Supply Chain Sustainability

Creating a supply chain sustainability assessment tool using machine learning techniques like clustering and regression analysis to evaluate environmental impact, ethical sourcing, and carbon footprint throughout the supply chain. By analyzing data on material sourcing, transportation methods, and production processes, this tool identifies areas for improvement, enabling companies to optimize their operations for sustainability, reduce waste, and make informed decisions to meet environmental goals.

Develop "Future-Proofed" Skills

NextGen EDU aims to not only enhance your AI knowledge and skills but also improve your presenting, teamwork and entrepreneurial thinking abilities.

Durable skills

Presentation skills

Entrepreneurial mindset

Communication & networking

Time management

Problem solving

Technical skills

Machine learning

Natural language processing

Computer vision

Data analytics & visualization

Ethical AI development

Application process & Fees

Program fees & financial assistance

Program fees & financial aid

Apply

Answer a few short questions as to why you are interested and a good fit for the NextGen EDU's AI program. Applications available to students ages 15-18.

Confirm Your Spot

Receive an acceptance within 2 weeks of application. If accepted you will be invited to confirm your spot by completing the official intake form and completing payment of fees.

Fees & Financial Assistance

Program fees are $1,500 USD. Finances, however, should not be a barrier. We offer needs-based financial assistance to applicable families. Click on "Program fees & financial assistance" above to learn more.

Be ready for an AI-enabled future

The program was designed by postgraduate students in artificial intelligence and machine learning from top Canadian Universities.

26

live sessions

1:10

students to instructors ratio in group sessions

52

hours of live sessions

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Contact us

Online AI Program

for High School Students

Online AI Program

FOR

High School Students

Online AI Program

FOR

High School Students

NextGen EDU

Apply now

Why Join NextGen EDU

Get More with NextGen EDU

Personal coaching

Solve real problems

Live Sessions

Join a Community

Schedule

AI Foundations: Python & Beyond

Data Diving: Understanding AI Datasets

Algorithm Adventures: Machine Learning Essentials

Corporate Challenge: AI in Action

AI Ethics & Society: Responsible AI Development

Capstone Creations: Building AI for Good

Develop your own AI project

Diagnostics

Predictive Care

Drug Discovery

Fact-Checking

Personalized News Recommendations

Natural Language Generation

Traffic Prediction and Optimization

Autonomous Vehicles

Smart Mobility Solutions

AI-Generated Art

Artistic Assistance

Art Analysis and Curation

Personalized Learning Paths

Intelligent Tutoring

Automated Grading

Algorithmic Trading

Fraud Detection and Prevention

Personalized Financial Advice

Energy Optimization

Environmental Monitoring

Supply Chain Sustainability

Develop "Future-Proofed" Skills

Durable skills

Presentation skills

Entrepreneurial mindset

Communication & networking

Time management

Problem solving

Technical skills

Machine learning

Natural language processing

Computer vision

Data analytics & visualization

Ethical AI development

Application process & Fees

Apply

Confirm Your Spot

Fees & Financial Assistance

Be ready for an AI-enabled future

FAQs

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NextGen EDU