Master AI Fundamentals
Gain practical skills in artificial intelligence and machine learning through theory, hands-on projects, and ethical frameworks.
What You'll Learn
Machine Learning Foundations
Understand supervised learning, neural networks, and optimization techniques used in modern AI systems.
AI Ethics
Explore ethical considerations in AI development including bias, transparency, and responsible deployment frameworks.
Practical Applications
Apply AI concepts to real-world projects including computer vision, natural language processing, and reinforcement learning.
Tools & Frameworks
Hands-on experience with Python, TensorFlow, PyTorch, and other cutting-edge AI development tools.
Course Structure
Foundations of AI
- Introduction to AI paradigms
- Math for ML - Linear Algebra
- Probability and Statistics
Machine Learning
- Model training techniques
- Supervised and Unsupervised Learning
- Deep Learning Fundamentals
AI Ethics
- Bias detection in models
- Explainable AI (XAI)
- Privacy & Fairness Analysis
Projects & Deployment
- Capstone Project Development
- Cloud AI Model Deployment
- Production AI Pipeline Design
Your Instructor
Dr. Rachel Kwan
AI Research Scientist
Dr. Kwan has pioneered ethical AI frameworks used in 150+ organizations. Currently leads AI ethics research at a top-tier R&D lab.
Ready to Start?
Join 500+ professionals mastering AI. Start with our 12-week intensive program with guaranteed hands-on experience.
Apply to AI Program