AI & Coding Camp (Python)

Senior campers learn Python, AI concepts, data, computer vision, and applied machine learning projects while developing confidence, teamwork, and character through the Blooms camp day.

Why this experience stands out

Program Highlights

Age Group

Ages 13 to 17

Certificate

STEM.ORG certificate by Meritus AI

Levels

Launch, build and advanced Python

Program at a Glance

Audience

Ages 13–17

Age Groups

Senior

13–17 Yrs

Available Dates

W1Jun 28 - Jul 2

W2Jul 5 - Jul 9

W3Jul 12 - Jul 16

W4Jul 19 - Jul 23

W5Jul 26 - Jul 30

W6Aug 2 - Aug 6

W7Aug 9 - Aug 13

W8Aug 16 - Aug 20

Schedule

Sunday to Thursday
9:00 AM – 3:00 PM

• Arrivals from 8:45 AM

• Late pickup 3:00 PM–5:30 PM · (For an Extra Fee)

Official Partner

MeritusAI

Certification

MeritusAI Certificate

Topics Covered

Introduction to Artificial Intelligence and Machine Learning

Python programming fundamentals

Data analysis and visualization

Building and training simple AI models

Ethics and the future of AI

Program Requirements

Laptop

Updated Google Chrome browser

Gmail Account

Program Levels

Beginner: Launch Python

This introductory Python course covers essential programming concepts from setup and basic syntax to data structures, control flow, functions, file handling, and objectoriented principles. Through practical exercises and engaging projects like a calculator, RPS game, and attendance system, you'll gain the skills to write effective Python code and build a foundation for further development.

What You Should Know

Understand math ideas like adding, comparing numbers, and finding patterns
Be able to follow written steps to solve problems
Know how to type short lines of text (code) on a keyboard
Be ready to test their code and fix simple mistakes

Intermediate: Build Python

This course introduces the core concepts and practical applications of Artificial Intelligence, focusing on how AI perceives the world through data, processes human language, and understands emotions. You'll learn by doing, implementing projects like face detection, masked/unmasked face identification, emotion recognition, and building interactive chatbots using Python and key AI libraries such as OpenCV, DeepFace, and NLP tools. This course provides a hands-on understanding of fundamental AI techniques and their realworld impact.

What You Should Know

Know how to write Python programs using variables, if-else choices, loops, and user input
Have used Python libraries (like import something) in small projects
Be able to read text from files or work with lists and strings
Understand how programs use data to make decisions

Advanced: Power Python

This course provides a comprehensive introduction to the core concepts underpinning intelligent systems. You will explore the principles of Machine Learning, including supervised, unsupervised, and reinforcement learning. Delve into Deep Learning and the power of neural networks. Understand how machines represent and reason with knowledge through Knowledge Representation and Reasoning (KRR), logic-based systems, and expert systems. Finally, the course examines the critical aspects of Explainable AI (XAI), cognitive architectures, knowledge graphs, and the societal impact of AI, culminating in understanding the complete AI lifecycle.

What You Should Know

Be confident writing full Python programs using modules, functions, and external libraries
Know what training data and predictions are, and how AI models use them
Have worked with data in Python using things like lists, dictionaries, or CSV files
Understand how to build a program that takes input, processes it, and gives smart results