Artificial Intelligence

  • 0.0
Approx. 4 months

Brief Introduction

Artificial Intelligence is poised to become one of the most revolutionary technologies of our time. We interact with intelligent systems and services in various forms, including apps on our phones, websites, devices, etc. With that, the demand for AI Engineers is on the rise. Take this course to understand the fundamental concepts and algorithms behind artificial intelligence, and learn to apply them to various real-world problems including game playing, navigation, sign-language recognition, et

Course Summary

This course introduces students to the field of Artificial Intelligence (AI) and covers topics such as search algorithms, probability, machine learning, and natural language processing.

Key Learning Points

  • Gain fundamental knowledge of AI technologies
  • Learn how to implement AI techniques in real-world applications
  • Understand the ethical implications of AI and its impact on society

Related Topics for further study


Learning Outcomes

  • Understand the fundamentals of AI
  • Implement AI techniques in real-world applications
  • Grasp the ethical implications of AI

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of programming
  • Familiarity with calculus and linear algebra

Course Difficulty Level

Intermediate

Course Format

  • Self-paced online course
  • Video lectures
  • Hands-on projects and exercises

Similar Courses

  • Deep Learning
  • Computer Vision

Related Education Paths


Related Books

Description

This course gives a survey of topics in AI along with in-depth foundational concepts such as classical search, probability, machine learning, logic and planning.

Requirements

  • Undergraduate computer algorithm and data structures courses that cover O notation, time and space constraints; working knowledge of college level mathematics such as calculus, probability, and linear algebra. You will also need to be familiar with Python and be comfortable making modifications to large programs. Please review the following questions, if you answer "no" to any of them you may want to refresh your knowledge or practice the required skills prior to taking the class: Are you comfortable programming in Python, including IPython notebooks? If not, are you comfortable in learning a language within the first week of class? Have you taken several classes that required intensive programming? Have you taken algorithms and data structures courses? Are you prepared to spend at least 9 hours a week on this class? See the Technology Requirements for using Udacity.

Knowledge

  • Instructor videosLearn by doing exercisesTaught by industry professionals

Outline

  • lesson 1 Search Game Playing Basics of Search Logic and Planning lesson 2 Constraints and Bayes Nets Constraint Satisfaction Probability Bayes Nets lesson 3 Basics of Machine Learning Simulated Annealing Machine Learning Pattern Recognition through Time

Summary of User Reviews

Learn about Artificial Intelligence (AI) in this comprehensive course by Udacity. Students highly recommend the course and find it informative and engaging. One key aspect that many users appreciated is the practical approach in teaching AI concepts, which allowed them to apply their knowledge to real-world problems.

Pros from User Reviews

  • Comprehensive coverage of AI concepts and applications
  • Engaging and interactive course content
  • Practical approach in teaching AI concepts
  • Access to industry experts and mentors
  • Flexible learning schedule

Cons from User Reviews

  • Some users found the course challenging and required more time to complete
  • Course materials could be more organized
  • Limited interaction with other students
  • Some users found the course expensive
  • No certification offered for completing the course
Free
Available now
Approx. 4 months
Thad Starner
Georgia Institute of Technology
Udacity

Instructor

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