Jedi Knight
(Age-12 Years)

• Start in Elementary School – no math or coding pre-requisite!

• Learn what AI is, and how to build AI and use it

• Self paced projects, videos and online exercises to continue your learning outside of class

• Learn how AI works, from AI experts

• Learn how things in your daily life (like Alexa, phones, and self driving cars) use AI

• Build your own AI and teach it how to play games and chat with you!

• Start in Elementary School – no need to know math or coding

• Courses that advance with you to Middle School, High School, competitions and beyond. Lots of ways to use coding and AI as you learn to code!

• Build cool projects to showcase your skills to parents, teachers and friends!




the approach we follow


Advanced Machine Learning Concepts

Session-1: 2 hours

• Recap of machine learning concepts learned in previous classes.
• Introduction to deep learning and neural networks.
• Discussing the architecture and working principles of neural networks.

Session-2: 2 hours

• Understanding different types of neural networks (e.g., feedforward, convolutional, recurrent).
• Discussing real-world applications of deep learning.


Neural Networks and Deep Learning

Session-4: 3 hours

• Deep dive into neural network training and optimization.
• Exploring activation functions, loss functions, and optimization algorithms.
• Hands-on activity: Implementing a simple neural network from scratch using Python and TensorFlow/Keras.

Session-4: 3 hours

• Introduction to convolutional neural networks (CNNs) for image recognition.
• Understanding CNN architecture and its applications.
• Hands-on activity: Building a CNN model to classify images from a dataset.


Natural Language Processing and Reinforcement Learning

Session-5: 2 hours

• Exploring natural language processing (NLP) techniques.
• Discussing tasks like sentiment analysis, named entity recognition, and machine translation.
• Hands-on activity: Building an NLP model to classify text documents or perform sentiment analysis.

Session-6: 2 hours

• Introduction to reinforcement learning.
• Understanding the concept of agents, environments, actions, and rewards.
• Hands-on activity: Implementing a basic reinforcement learning algorithm (e.g., Q-learning) for a simple game scenario.


Advanced AI Applications and Projects

Session-7: 3 hours

• Exploring advanced AI applications in fields like healthcare, finance, and gaming.
• Discussing the societal impact and ethical considerations of AI technologies.
• Hands-on activity: Working on AI projects related to students’ interests or real-world problems.

Session-8: 3 hours

• Project presentations and feedback session.
• Reflecting on the learnings and experiences gained throughout the course.
• Discussing future opportunities and career paths in AI and related fields.

Additional Resources and Activities:

Guest Lectures: By professionals or researchers in AI to share their experiences and insights with the students.
Hackathons or Competitions: AI-themed hackathons or competitions to encourage students to apply their skills and creativity to solve real-world challenges.
Advanced Reading Materials: Supplementary reading materials/online resources for students interested in delving deeper into specific AI topics.

Speak To Our Experts +91 6281465072 / 9676928114 or Request A Quote


what people are saying

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John Deo – CEO ABCWorks

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Smith Tait – CEO ABCWorks