About this course
This module provides hands on experience in building practical Artificial Intelligence applications using modern web technologies. Learners will explore core AI concepts through real-world projects, including sentiment analysis, face filtering, home automation, game development, and pose detection.
The curriculum emphasizes applied learning, enabling participants to understand how AI models interact with user interfaces, computer vision systems, and automation workflows. Each lab is designed to strengthen problem solving skills while demonstrating enterprise relevant AI implementation patterns.
Learning Outcomes
Upon completion of this module, learners will be able to:
Build browser based AI applications using block based programming.
Analyze and interpret human sentiment from textual data.
Develop computer vision solutions for facial detection and filtering.
Implement AI driven automation workflows for smart environments.
Integrate pose estimation and human movement tracking into applications.
Apply AI concepts to interactive and real-time user experiences.
Included Labs
L1. Sentiment Analysis
Build an application that identifies and classifies emotions, opinions, and sentiment from text inputs.
L2. Face Filter
Develop a real-time face detection and augmentation system using computer vision techniques.
L3. Home Automation
Create an intelligent automation solution that simulates smart device control and decision-making.
L4. Flappy Bird Game
Implement AI concepts within an interactive game environment to enhance user engagement and learning.
L5. Pose Detection
Design a pose estimation application capable of detecting and tracking human body movements in real time.
Module Level: Intermediate
Delivery Mode: Hands on Laboratory Sessions
Focus Area: Applied AI, Computer Vision, Automation, and Interactive Systems
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