Overview
Master AI fundamentals on this beginner online course as you gain real-world insights to help you stay ahead in the AI revolution.
Syllabus
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- 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
Taught by
Tags
On-Demand
