Master of the Order
(Age-15 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 Neural Networks and Deep Learning

Session-1: 2 hours

• Review of neural networks and deep learning fundamentals.
• Introduction to advanced neural network architectures (e.g., attention mechanisms, capsule networks).
• Discussing recent advancements in deep learning research.

Session-2: 2 hours

• Exploring advanced topics in deep learning optimization (e.g., second-order optimization methods, hyperparameter tuning).
• Discussing strategies for model regularization and avoiding overfitting.
• Hands-on activity: Implementing advanced optimization techniques and regularization methods in deep learning frameworks.


Advanced Reinforcement Learning and Robotics

Session-4: 3 hours

• Deep dive into advanced reinforcement learning algorithms (e.g., deep Q-networks, actor-critic methods).
• Discussing state-of-the-art research in reinforcement learning and its applications.
• Hands-on activity: Implementing and experimenting with advanced RL algorithms in simulated environments.

Session-4: 3 hours

• Exploring advanced AI applications in robotics and autonomous systems.
• Discussing challenges and recent advancements in robot perception, planning, and control.
• Hands-on activity: Programming and testing advanced robotic algorithms in simulation or with real-world robots (if available).


Advanced Natural Language Processing and AI Ethics

Session-5: 2 hours

• Introduction to advanced natural language processing (NLP) techniques (e.g., transformer-based models, language generation).
• Understanding pretraining strategies and transfer learning in NLP.
• Hands-on activity: Fine-tuning transformer models for text generation or summarization tasks.

Session-6: 2 hours

• Exploring ethical considerations in AI development and deployment.
• Discussing topics such as bias, fairness, transparency, and accountability in AI systems.
• Hands-on activity: Analyzing case studies and discussing ethical implications of AI technologies.


Advanced AI Projects and Research

Session-7: 3 hours

• Guided research project development.
• Providing mentorship and resources for students to work on advanced AI projects or conduct independent research.
• Hands-on activity: Developing research proposals and project plans for advanced AI projects.

Session-8: 3 hours

• Final project presentations and peer review.
• Reflecting on the research process, findings, and implications.
• Discussing potential future directions in AI research and career pathways in the field.

Additional Resources and Activities:

Research Mentorship: Pairing students with mentors from academia or industry to guide them through research projects and provide feedback.
Publication and Conference Participation: Supporting students in submitting research papers or presenting their findings at conferences, workshops, or online forums.
Community Engagement: Encouraging students to share their knowledge and insights with the broader community through outreach activities, workshops, or blog posts.

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