Overview
Course Description
The primary goal of this course is to build a strong conceptual and practical understanding of
Artificial Intelligence and its real-world applications. It focuses on machine learning algorithms,
neural network architectures, and the ethical dimensions of AI deployment in society. Students will
learn why AI is considered the defining technological revolution of the 21st century and how they
can position themselves at the forefront of this transformative movement.
Key Highlights:
- AI fundamentals: machine learning, deep learning & neural network concepts
- Python for AI: NumPy, Pandas, Scikit-learn & TensorFlow/PyTorch mastery
- Deep learning: CNNs, RNNs, GANs & transformer architectures
- Computer vision: image recognition, object detection & OpenCV integration
- AI ethics & responsible AI: bias detection, fairness & ethical considerations
- Real AI projects: predictive models, recommendation systems & image classifiers
Career Outcome:
AI Developer
AI Agent Specialist
Prompt Engineer
AI Consultant
