- Logic & planning
- Machine learning
- Statistics, Uncertainty, & Bayes networks
Intermediate
Online
4 Months
Free
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. The free-of-cost programme has an approximate timeline of four months.
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
- Intermediate-level study
- Four months timeline (approximately)
- Free training
- Industry experts as instructors
- Self-paced course
- Interactive quizzes
- Exercises
- Rich learning material
- Udacity offering
Program offerings
- Intermediate-level study
- Four months timeline
- Udacity offering
- Free training
- Self-paced course
- Industry experts as instructors
- Interactive quizzes
- Rich learning material
- Exercises
Course and certificate fees
Type of course
- Intro to Artificial Intelligence training is free.
Intro to Artificial Intelligence fee structure
Course | Fee |
Intro to Artificial Intelligence | Free |
certificate availability
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
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
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.
The syllabus
Lesson 1 Fundamentals of AI
Lesson 2 Applications of AI
- Natural language processing & information retrieval
- Robotics & robot motion planning
- Image processing & computer vision
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
The course is free.
This Udacity course runs for approximately four months.
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+.
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.
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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