Artificial Intelligence (AI) at edX Overview
Duration | 12 weeks |
Mode of learning | Online |
Difficulty level | Advanced |
Official Website | Go to Website  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
- Faculty
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Artificial Intelligence (AI) at edX Highlights
- Length: 12 Weeks
- Effort: 8-10 hours per week
- Price: FREE Add a Verified Certificate for $249 USD
- Institution ColumbiaX
Artificial Intelligence (AI) at edX Course details
- What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?
- They are all complex real world problems being solved with applications of intelligence (AI).
- This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.
- You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.
- Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.
Artificial Intelligence (AI) at edX Curriculum
Syllabus
Week 1: Introduction to AI, history of AI, course logistics Week 2: Intelligent agents, uninformed search Week 3: Heuristic search, A algorithm __Week 4: Adversarial search, games __Week 5: Constraint Satisfaction Problems __Week 6: Machine Learning: Basic concepts, linear models, perceptron, K nearest neighbors __Week 7: Machine Learning: advanced models, neural networks, SVMs, decision trees and unsupervised learning __Week 8: Markov decision processes and reinforcement learning __Week 9: Logical Agent, propositional logic and first order logic __Week 10: AI applications (NLP) __Week 11: AI applications (Vision/Robotics) __Week 12: * Review and Conclusion
Artificial Intelligence (AI) at edX Faculty details
Artificial Intelligence (AI) at edX Entry Requirements
- Students are required to have some basic of Python programming and an understanding of probability. Homework assignments will have a programming component in Python. The course offers an excellent opportunity for students to dive into Python while solving AI problems and learning its applications. Linear algebra (vectors, matrices, derivatives) Calculus Basic probability theory Python programming
- Not mentioned
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