About this course
This course provides a foundational understanding of Artificial Intelligence (AI) for beginners. It covers the evolution, principles, and applications of AI, and explores various AI technologies, tools, and ethical considerations. The course is designed to build progressively from basic concepts to more complex ideas, preparing participants for further studies or careers in AI.
What you'll learn
- Describe the history, key concepts, and major applications of AI
- Explain core machine learning algorithms and when to use them
- Understand neural networks and foundational deep learning concepts
- Apply basic NLP techniques for text processing and simple models
- Implement fundamental computer vision methods for image tasks
- Summarize how AI integrates with robotics and autonomous systems
- Assess ethical, legal, and societal implications of AI systems
- Use common AI tools and platforms to train and evaluate models
- Plan and manage an end-to-end AI project from data to deployment
- Identify emerging trends and career pathways in AI
Prerequisites
No prior AI experience required; basic computer literacy and high-school level math (algebra/statistics familiarity recommended).
- Level
- Beginner· Level
- Duration
- 8 weeks (≈30 hours)· Duration
- Language
- English· Language
- Modules
- 10· Modules
Skills you'll gain
- AI fundamentals
- Supervised and unsupervised learning
- Neural network basics
- Natural language processing
- Computer vision techniques
- Data preprocessing and feature engineering
- Model evaluation and validation
- Ethical reasoning for AI
- Using AI tools and platforms
- Project planning and deployment basics
What you'll study
10 modules — work at your own pace.
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