Artificial Intelligence for Everyone

סקירה כללית

On this eight-week course from Universiti Malaya, you’ll gain a solid understanding of artificial intelligence.

סילבוס

• Week 1: Introduction to Artificial Intelligence
Overview of AI and its history
Key concepts and definitions
The current landscape and future trends
• Week 2: Machine Learning Fundamentals
What is machine learning?
Types of machine learning: supervised, unsupervised, reinforcement
Introduction to algorithms: decision trees, neural networks
• Week 3: Data in AI
Importance of data in AI
Data collection and preprocessing
Understanding datasets and their role in AI
• Week 4: Neural Networks and Deep Learning
Basics of neural networks
Introduction to deep learning
Use cases and applications
• Week 5: Natural Language Processing (NLP)
Overview of NLP
Key techniques and tools
Applications of NLP
• Week 6: AI in Computer Vision
Basics of computer vision
Image recognition and processing
Applications in various industries
• Week 7: Ethics and Implications of AI
Ethical concerns in AI development
Social implications of AI
Case studies and discussions
• Week 8: AI in the Real World
AI applications in different industries
Success stories and challenges
Future of AI: opportunities and risks
• Supplemental Resources
Recommended readings
Online tools and platforms
Community forums and discussion groups

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נלמד על ידי

NORISMA IDRIS

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נושאים

Computer Science