What you will learn in the Columbia: Artificial Intelligence (AI) Course
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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
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Understand transformer architectures and attention mechanisms
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Evaluate model performance using appropriate metrics and benchmarks
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Design algorithms that scale efficiently with increasing data
Program Overview
Module 1: Foundations of Computing & Algorithms
Duration: ~2-3 hours
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Discussion of best practices and industry standards
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Introduction to key concepts in foundations of computing & algorithms
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Case study analysis with real-world examples
Module 2: Neural Networks & Deep Learning
Duration: ~3-4 hours
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Case study analysis with real-world examples
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Assessment: Quiz and peer-reviewed assignment
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Hands-on exercises applying neural networks & deep learning techniques
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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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Assessment: Quiz and peer-reviewed assignment
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Guided project work with instructor feedback
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Introduction to key concepts in ai system design & architecture
Module 4: Natural Language Processing
Duration: ~1-2 hours
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Assessment: Quiz and peer-reviewed assignment
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Case study analysis with real-world examples
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Hands-on exercises applying natural language processing techniques
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Introduction to key concepts in natural language processing
Module 5: Computer Vision & Pattern Recognition
Duration: ~3 hours
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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 computer vision & pattern recognition
Module 6: Deployment & Production Systems
Duration: ~2 hours
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Interactive lab: Building practical solutions
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Review of tools and frameworks commonly used in practice
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Case study analysis with real-world examples
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Introduction to key concepts in deployment & production systems
Job Outlook
- Artificial intelligence is one of the fastest-growing and highest-demand fields as organizations integrate AI into products, services, and decision-making processes.
- Roles such as AI Engineer, Machine Learning Engineer, Data Scientist, and AI Researcher offer salaries ranging from $100K – $180K+ globally depending on experience and specialization.
- Employers seek professionals who can build intelligent systems, develop machine learning models, and apply AI techniques to solve complex problems.
- This course is ideal for students, developers, and professionals looking to build a strong foundation in AI concepts and applications.
- AI skills enable career growth in areas like machine learning, natural language processing, computer vision, and robotics.
- With rapid advancements in AI and widespread adoption across industries, demand for skilled professionals continues to rise.
- Companies value candidates with strong programming skills, mathematical understanding, and experience with AI frameworks.
- AI expertise also opens opportunities in research, startups, consulting, and building AI-powered products.
