What you will learn in the AI Algorithm Limitations Ko Course
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Understand transformer architectures and attention mechanisms
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Design algorithms that scale efficiently with increasing data
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Understand core AI concepts including neural networks and deep learning
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Build and deploy AI-powered applications for real-world use cases
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Implement prompt engineering techniques for large language models
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Apply computational thinking to solve complex engineering problems
Program Overview
Module 1: Foundations of Computing & Algorithms
Duration: ~1-2 hours
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Case study analysis with real-world examples
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Guided project work with instructor feedback
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Hands-on exercises applying foundations of computing & algorithms techniques
Module 2: Neural Networks & Deep Learning
Duration: ~3-4 hours
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Hands-on exercises applying neural networks & deep learning techniques
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Discussion of best practices and industry standards
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Guided project work with instructor feedback
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Introduction to key concepts in neural networks & deep learning
Module 3: AI System Design & Architecture
Duration: ~4 hours
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Introduction to key concepts in ai system design & architecture
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Case study analysis with real-world examples
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Review of tools and frameworks commonly used in practice
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Assessment: Quiz and peer-reviewed assignment
Module 4: Natural Language Processing
Duration: ~2 hours
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Review of tools and frameworks commonly used in practice
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Assessment: Quiz and peer-reviewed assignment
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Discussion of best practices and industry standards
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Introduction to key concepts in natural language processing
Module 5: Computer Vision & Pattern Recognition
Duration: ~2-3 hours
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Review of tools and frameworks commonly used in practice
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Interactive lab: Building practical solutions
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Discussion of best practices and industry standards
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Assessment: Quiz and peer-reviewed assignment
Module 6: Deployment & Production Systems
Duration: ~3 hours
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Discussion of best practices and industry standards
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Introduction to key concepts in deployment & production systems
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Assessment: Quiz and peer-reviewed assignment
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Hands-on exercises applying deployment & production systems techniques
Job Outlook
- The demand for professionals who understand AI algorithm limitations is increasing as organizations focus on responsible and reliable AI deployment.
- Career opportunities include roles such as AI Analyst, Data Scientist, and AI Ethics Specialist, with salaries ranging from $80K – $140K+ globally depending on experience and expertise.
- Strong demand for professionals who can evaluate AI systems critically, identify biases, improve model performance, and ensure ethical AI usage.
- Employers value candidates who can assess AI limitations and mitigate risks in real-world applications.
- Ideal for students, researchers, and professionals interested in AI reliability and ethics.
- Knowledge of AI limitations supports career growth in data science, research, governance, and AI system design.
- Increasing scrutiny of AI systems continues to drive demand for responsible AI expertise.
- These skills also open opportunities in policy-making, AI auditing, and risk management roles.
