Intro to Artificial Intelligence

BY
Udacity

Explore the fundamentals of the continuously growing Artificial Intelligence (AI) field with the Intro to Artificial Intelligence programme by Udacity.

Mode

Online

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course overview

Artificial Intelligence (AI) as a domain boasts of long and rich history, a rapidly transforming present, and an actively evolving future. With the Intro to Artificial Intelligence course by Udacity, you will dive deep into the fundamentals of modern AI. Here, you will also explore the representative applications of AI. The instructors use interactive quizzes, rich learning content, exercises, etc., to teach you.

Besides, the Intro to Artificial Intelligence training aims to excite you about the enormous amounts of possibilities and applications available in the field of AI. You will also witness how AI is continuing to broaden the horizons of human capability beyond the imagination of humankind.

This Intro to Artificial Intelligence course is an intermediate-level study. It requires you have substantial probability theory and linear algebra understanding since the training builds upon the same.

Moreover, the Intro to Artificial Intelligence course syllabus comprehensively covers probability uncertainty, statistics, Bayes networks, logic, machine learning, planning. The curriculum also focuses on computer vision and image processing, robot motion planning, robotics, Natural Language Processing (NLP), and more.

The highlights

  • Free training
  • Industry experts as instructors
  • Self-paced course
  • Interactive quizzes
  • Exercises
  • Rich learning material
  • Udacity offering

Program offerings

  • Udacity offering
  • Free training
  • Self-paced course
  • Industry experts as instructors
  • Interactive quizzes
  • Rich learning material
  • Exercises.

Course and certificate fees

certificate availability

No

Eligibility criteria

The Intro to Artificial Intelligence programme is intermediate level and requires you to understand probability theory. Your knowledge in the domain should be comparable to that offered through the Intro to Statistics course by Udacity.

What you will learn

Knowledge of nlp modelling Robotic skills Machine learning Logic

As you complete the Intro to Artificial Intelligence syllabus, you will learn about:

  • Uncertainty
  • Statistics
  • Bayes networks
  • Logic and planning
  • Machine learning
  • Computer vision and image processing
  • Robot motion planning and robotics
  • Natural Language Processing (NLP)
  • Information retrieval

The syllabus

Lesson 1

  • 1. Welcome to AI

Lesson 2

  • 2. Problem Solving

Lesson 3

  • Problem Set 1

Lesson 4

  • 3. Probability in AI

Lesson 5

  • 4. Probabilistic Inference

Lesson 6

  • Problem Set 2

Lesson 7

  • 5. Machine Learning

Lesson 8

  • 6. Unsupervised Learning

Lesson 9

  • Problem Set 3

Lesson 10

  • 7. Representation with Logic

Lesson 11

  • 8. Planning

Lesson 12

  • Problem Set 4

Lesson 13

  • 9. Planning under Uncertainty

Lesson 14

  • 10. Reinforcement Learning

Lesson 15

  • Problem Set 5

Lesson 16

  • 11. HMMs and Filters

Lesson 17

  • 12. MDP Review

Lesson 18

  • Midterm Exam

Lesson 19

  • 13. Games

Lesson 20

  • 14. Game Theory

Lesson 21

  • Problem Set 6

Lesson 22

  • 15. Advanced Planning

Lesson 23

  • 16. Computer Vision I

Lesson 24

  • 17. Computer Vision II

Lesson 25

  • 18. Computer Vision III

Lesson 26

  • Problem Set 7

Lesson 27

  • 19. Robotics I

Lesson 28

  • 20. Robotics II

Lesson 29

  • Problem Set 8

Lesson 30

  • 21. Natural Language Processing

Lesson 31

  • 22. Natural Language Processing II

Admission details

Step 1- Go to the link - https://www.udacity.com/course/intro-to-artificial-intelligence--cs271  it will take you to the Intro to Artificial Intelligence programme page.

Step 2- Here, press on ‘Start Free Course’. On the new page that pops up, log in or register on Udacity with your Google or Facebook profiles or use new credentials to proceed.

Step 3 – Now, land on Udacity’s classroom portal to access your lessons.


Filling the form

In the Intro to Artificial Intelligence online course sign-up form, provide your email address, full name, and password. 

How it helps

The Intro to Artificial Intelligence course benefits includes mastering the fundamentals and applications of AI. Besides, today AI-based technologies are disrupting everyday lives. So, this course will help you integrate your learning in several industries like journalism/media, gaming, finance, and research fields, including medical diagnosis, robotics, and quantum science. 

Moreover, in this Intro to Artificial Intelligence training, you’ll explore industry-relevant concepts of machine learning, robotics, probabilistic reasoning, computer vision, and NLP.

Instructors

Mr Peter Norvig
Research Director
Google India

Mr Sebastian Thrun
President
Udacity

FAQs

Which operating systems (OS) are supported for the Intro to Artificial Intelligence online course?

You can use Windows 7 or higher on PC for the latest updates installed. Here, Internet Explorer isn’t supported. Mac users can use OS X 10.11 or higher. 

Moreover, Linux users can study via any recent distribution with supported browsers installed. They can also learn through Ubuntu’s 14.04 LTS+ or 17.10+.

Does this training require me to study any other Udacity programme?

Since many concepts in the Introduction to Artificial Intelligence online course build upon linear algebra and probability theory, you will need a substantial understanding of probability theory. Your knowledge of the topic should be comparable to the Intro to Statistics course by Udacity.

What applications of AI are covered in the syllabus?

The extensive curriculum focuses on AI applications- robotics and robot motion planning, image processing and computer vision, NLP, and information retrieval.

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