AI Curriculum
Level 1: AI Foundations (Class 5–6)
- Topics:
- What is AI? AI vs Human.
- AI in daily life (games, Alexa, Google).
- AI as creative tool (stories, art).
- Hands-on: Teachable Machine, Chatbots (safe), AI comics.
- Outcome: Awareness + Fun
Concepts:
- What is a robot? Difference between machines & robots.
- Parts of a robot → controller, sensors, actuators, power.
- Practical:
- Assemble a simple robot kit.
- Program basic movement: forward, backward, turn.
- Mini Project: Robot Dance → robot moves in a set pattern.
- Outcome: Kids understand basic robot structure + movement.
Locations
Jalandhar, LudhianaCourse Duration
6 Weeks, Beginner LevelCertification
IncludedClass Schedule
Weekly 6 daysLevel 2: Data & Python for AI (Class 7–8)
- Python Essentials:
- Variables, loops, conditionals.
- Functions.
- Libraries for Data Handling:
- NumPy → arrays & operations.
- Pandas → DataFrames, CSV reading.
- Matplotlib & Seaborn → bar, line, scatter, heatmaps.
- Hands-on:
- Import & clean simple datasets (e.g., class survey).
- Create visualizations (fav sport, snack, game).
- Outcome: Python + Data Literacy.
Level 3: Machine Learning (Class 9–10)
- ML Concepts:
- Supervised vs Unsupervised Learning.
- Train/Test split.
- Accuracy, precision, recall (basic).
- Practical with scikit-learn:
- Linear regression (predict marks from study hours).
- Classification (cats vs dogs, spam vs ham).
- Applied Projects:
- Sentiment analysis of short reviews.
- Predict student performance from dataset.
- Outcome: Training AI Models on Data
Level 4: Applied AI – DL, NLP, CV (Class 11–12)
Deep Learning:
- Intro to Neural Networks.
- Keras/TensorFlow basics.
- NLP (Natural Language Processing):
- Tokenization, stopwords.
- Chatbot basics.
- Computer Vision:
- Image classification.
- Object detection basics.
- Capstone Projects:
- Image recognition app.
- Sentiment chatbot.
- AI for social good (environment, healthcare).
- Outcome: AI Specialization with real-world projects
