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AI & Machine Learning Summer Program
AI & Data Science
This journey is designed to provide you with a comprehensive understanding of artificial intelligence (AI) and machine learning (ML), equipping you with the knowledge, skills, and attitudes necessary to excel in these cutting-edge fields.
What you will learn?
Attitude
- Demonstrate curiosity and enthusiasm for AI and ML by engaging in discussions and activities, recognizing their transformative potential
- Exhibit a growth mindset by actively embracing challenges and reflecting on failures as opportunities to learn and improve
Skills
- Write and debug Python programs, applying programming constructs and data structures effectively
- Utilize libraries such as NumPy and Pandas for data manipulation and analysis
- Implement machine learning algorithms for regression, classification, clustering, and dimensionality reduction
- Apply neural network architectures to solve complex problems in image and sequential data analysis
- Utilize tools and techniques for model evaluation, hyperparameter tuning, and performance optimization
Knowledge
- Describe the fundamental principles of Python programming and its application in AI and ML
- Explain the core concepts of linear algebra, calculus, probability, and statistics essential for data science
- Identify the basics of machine learning, including supervised, unsupervised, and reinforcement learning
- Explore neural networks, including convolutional and recurrent neural networks, and their applications
- Recognize advanced topics such as optimization, data augmentation, regularization, and ensemble methods
Python Programming Language
4 Chapters
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AI Fundamentals
3 Chapters
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Machine Learning
6 Chapters
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80+ Journey Hours
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8+ Tasks
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6 Weeks
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10+ Interactive Workshops
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Upskilling Impact
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Arabic Language
Requirements
- Having / Seeking a degree in computer science, computer engineering, or a related field
- Good command of English Language
- Basic Programming Skills
- Knowledge of Python is preferred
- Excellent problem-solving skills
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