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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Knowledge-Based AI: Cognitive Systems training is a core programme in artificial intelligence offered by the Udacity learning platform. Since this is an advanced-level course, it involves significant independent work, readings and challenging assignments and projects.

Moreover, the Knowledge-Based AI: Cognitive Systems curriculum covers the structured knowledge representations, knowledge-based problem-solving methods, along with planning, learning and decision-making. The syllabus includes nine lessons that are further divided into multiple topics.

The Knowledge-Based AI: Cognitive Systems programme has been designed to fulfil three learning goals. The first goal is teaching the methods, concepts and prominent issues related to knowledge-based Artificial Intelligence (AI). The second goal is to teach the specific abilities and skills required to apply the concepts to designing knowledge-based AI. And the third goal is to understand the relationship between knowledge-based AI and human cognition.

Additionally, the Knowledge-Based AI: Cognitive Systems online course is a free-to-learn course that will run for an approximate duration of seven weeks and allow you to learn at your convenience, pace, and from the comfort of your home.

The Highlights

7 weeks (approx.) duration
Advanced skill level
Free-to-learn course
Instructor videos
Rich learning content
Learning exercises
Interactive quizzes
Self-paced learning programme
Instructed by industry pros

Programme Offerings

Advanced skill level
free course
7 weeks duration
Rich content
Delivered by industry pros
Interactive Quizzes
Self-paced format
Learning exercises
Instructor videos

Courses and Certificate Fees

Certificate Availability
no

Knowledge-Based AI: Cognitive Systems fee structure

Course	Fee
Knowledge-Based AI: Cognitive Systems	Free

Eligibility Criteria

To join the Knowledge-Based AI: Cognitive Systems program, it is beneficial to complete courses on computer programming, including CS 1332 or CS 101. Also, an introductory-level course on AI, such as Georgia Tech’s CS 6601 or CS 3600, is recommended, but it’s not necessary.

Furthermore, you must be comfortable with computer programming and confident in Java or Python. You should also be familiar with concepts of algorithms, object-oriented programming like polymorphism and inheritance, as well as data structures.

What you will learn

Knowledge of Artificial Intelligence

The Knowledge-Based AI: Cognitive Systems course syllabus will include the following topics:

Design and creativity
Analogical Reasoning
Visuospatial Reasoning
Designing and implementing a knowledge-based AI agent
Using the AI agent to reflect on the human cognition process
Addressing the practical problems in various domains

Admission Details

Tap the URL to visit the Knowledge-Based AI: Cognitive Systems course page- https://www.udacity.com/course/knowledge-based-ai-cognitive-systems--ud409.
Now, scroll down and click on the ‘start the free course’ option.
Enter the few required details or use your Facebook/Google account credentials to sign up for the course.

Application Details

You don’t need to fill up any application form to register for Knowledge-Based AI: Cognitive Systems by Udacity. Instead, you just have to create an account on the website by entering your first and last name, email address, and password. Use these credentials the next time you sign in to the course.