Executive Summary

In the rapidly evolving landscape of technology, staying ahead requires not only understanding the fundamentals but also mastering the practical applications of cutting edge innovations. The Young AI Pro program is meticulously designed to empower ambitious teens with the knowledge and skills necessary to excel in the field of AI, equipping them to gain admission to top universities or build groundbreaking startups.

Glimpse of our AI Bootcamp Workshops

Objectives

Develop Foundational AI and Python Skills: + Hands-On Learning Through Real-World Projects:+ Introduce Core Machine Learning and Deep Learning Concepts:+ Encourage Ethical and Responsible AI Practices:+ Prepare for Future AI Endeavors:+

Target Audience

Ambitious Highschoolers:
1. Ambitious teens with a strong penchant for mathematics, computer science and a hunger to change the world in the world of startups and/or research.

Experience Level:
1. Basic coding experience, seeking to gain expertise in AI and practical skills in AI applications.
2. Good understanding of algebra, linear equations and analytical geometry.

Trainer Profile

Profile: +

Certifications

For every session, we will conduct a quick live assessment at the end to reinforce learning and ensure comprehension of key concepts. Additionally, there will be a 20-minute final assessment that participants can take 1-7 days following the completion of the bootcamp. Successful completion of these assessments will earn participants the Young AI Pro Essentials Certification, validating their expertise and readiness to apply AI in their professional roles.

Program Benefits:

Drive Innovation and Efficiency: + Enhance Project Outcomes: + Foster Continuous Learning: + Hands-On, Collaborative Experience:+

Month-wise plan:

Month 1: Hands On ML Project
1. Dive into a real-world AI project (e.g., Cancer Prediction) to spark interest and provide context for learning. Develop skills in data exploration, preprocessing, and building basic machine learning models. Gain foundational Python programming knowledge essential for AI.

Month 2: Python & ML Techniques
1. Enhance Python skills with advanced data structures and object oriented programming. Learn feature engineering, model improvement strategies, and build a deeper understanding of neur

Month 3: Deep Learning and Large Language Models (LLMs)
1. Understand the fundamentals of deep learning, including CNNs and RNNs, and explore the world of large language models. Implement and fine-tune pre-trained models, and develop natural language processing applications to broaden AI capabilities.

Month 4: Capstone Project and Advanced Topics
1. Work on a capstone project integrating all learned skills, from data handling to advanced AI techniques. Explore reinforcement learning, and real-world AI applications including building your own startups. Present the final project, demonstrating practical AI application and innovation.

Projects:

We will guide you with a mini project every month and a capstone project at the end. Here are things to choose from.

Air Quality Prediction
1. Description: Predict the air quality index (AQI) based on historical data and various environmental factors
2. Key Skills: Time series analysis, regression models, data visualization
3. Link: Air Quality Prediction

Heart Disease Prediction
1. Description: Develop a model to predict the likelihood of heart disease based on patient data
2. Key Skills: Data preprocessing, classification algorithms, model evaluation
3. Link: Heart Disease Prediction

Diabetes Prediction
1. Description: Predict whether a patient has diabetes based on diagnostic measures.
2. Key Skills: Data analysis, logistic regression, and model accuracy improvement.
3. Link: Diabetes Prediction

RSNA Pneumonia Detection Challenge
1. Description: Create an AI model to detect pneumonia from chest X-ray images.
2. Key Skills: Image processing, convolutional neural networks (CNNs), medical imaging
3. Link: RSNA Pneumonia Detection Challenge

Logistics

Hardware Requirements:
1. A good development laptop with a minimum of 8 GB RAM and 50 GB disk space.

Software Requirements:
1. Install Miniconda: Miniconda Installation Guide Restart the terminal and create your environment: conda create -n modernai python=3.11
2. Install Git: Git Installation Guide Restart the terminal and run: git clone https://github.com/balajivis/modernaipro.git
3. Install VSCode: VSCode Installation Guide
4. Install Ollama: Ollama Download
5. Familiarize yourself with accessing the terminal/command line on your computer. For Windows users, it will be either PowerShell or CMD

If you have Python installed already, ensure the version is not 3.12. Use a virtual environment or Miniconda to get a lower Python version if necessary. Contact us if you need technical help.

Conclusion

The Young AI Pro Essentials bootcamp is more than just a training program; it's a gateway to the future of technology. By equipping your team with cutting-edge AI skills and practical knowledge, you are not only enhancing their capabilities but also driving your organization towards innovation and excellence.

Our comprehensive curriculum, designed and led by Dr. Balaji Viswanathan, ensures that participants gain a deep understanding of AI principles and hands-on experience with real world applications. From setting up local LLMs and prompt engineering to building advanced chatbots and securing AI applications, this bootcamp covers all the essential aspects to transform your team's approach to AI.

Certification and Assessments: After completing the bootcamp, participants will take a 20-minute final assessment within 1-7 days. This final assessment (80%) combined with the class assessments (20%) will determine your final score. Participants must achieve a score of 60% or more to earn the Young AI Pro Essentials Certification, recognizing their expertise and readiness to apply AI in their professional roles.

Final Thoughts: Embark on this transformative journey with us and unlock the full potential of AI for your organization. With the guidance of industry experts and a robust support system, your team will be well-equipped to lead AI-driven projects, innovate solutions, and make strategic decisions that drive success. Join us in shaping the future, one AI application at a time.

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