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Quick Facts

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

Course Overview

The Artificial Intelligence for Robotics certification course is a free course of two months, where the training will be provided via an online platform. The course is offered by Georgia Tech Masters in Computer Science. The course will include the final project as the evaluation criteria for the certification. The Artificial Intelligence for Robotics training provided is of the advanced level. This course will cover the fundamentals of artificial intelligence, such as planning and search, probabilistic inference, localization, control, and tracking, focusing on robotics. The candidate will get Artificial Intelligence for Robotics certification as the course will end. The course will be taught by the industry pros themselves. In total, the Artificial Intelligence for Robotics certification syllabus contains six lessons that will be covered in two months.

The Highlights

Free course by Udacity
Two months course duration
Taught by industry pros
Offered by Georgia Tech Masters in Computer Science
Certification course
Six-module curriculum
Self-paced learning curriculum

Programme Offerings

Lectures
learning material
Training
quizzes
Learning by doing exercises

Courses and Certificate Fees

Certificate Availability
no

Artificial Intelligence for Robotics fees -

Particulars	Amount
Course fee	Nil

Eligibility Criteria

Work experience

The candidate needs to have some sort of programming experience to apply in the Artificial Intelligence for Robotics by Udacity. If applicants don’t have programming experience, they have to complete the elementary course “Introduction to Computer Science” before opting for this course.

Education

The candidate must possess some introductory level Python knowledge or any other language with programming experience for applying in the Artificial Intelligence for Robotics certification course. Along with that, the candidate needs to have some sort of mathematical knowledge in the field of probability and linear algebra.

Certification qualifying details

The candidate will be given Artificial Intelligence for Robotics certification at the end of the course after the complete submission of the assessments.

What you will learn

Knowledge of Artificial Intelligence

By the end of the Artificial Intelligence for Robotics programme, the candidate will learn the following skills and concepts -

The fundamentals and dynamics of the field will be taught initially in the course
Enrolled students must learn about the PID control initiative as the backup option
SLAM method will be taught to the students through complete training cum theory
The beginner’s step - planning could be taught as the first lesson since it is the main starting initiative of artificial intelligence and robotics programming
The tracking and controlling procedure will be taught in the middle of the syllabus
The candidate would learn about the localization procedure that is included in the artificial intelligence and programming of robotics
The cost compute concept will be taught to the students, and the minimization procedure of the same will be taught
Extensive programming examples could be used to make the student’s understanding more effective and efficient

Admission Details

Follow the below-mentioned procedure to enroll in Artificial Intelligence for Robotics online course -

Step 1: Visit the link to get complete and detailed information about the course https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373.

Step 2: Tap on the option “start free course.”

Step 3: Log in using any social account - Google or Facebook. If the candidate is not registered, then first sign up at Udacity.

Step 4: After signing in, the course will be added to the candidate’s classroom.

Step 5: The enrollment is done.

Application Details

There is no particular application process for this course. Candidates just have to log in using any social account, and the course will be added to their classroom. They can immediately access the programme for free.

The Syllabus

Total probability
Localization
Bayes rule
Uniform distribution
Normalise distribution
Probability after sense
Phit and Pmiss
Sum of probabilities
Move function
Sense function
Exact motion
Theorem of total probability

Gaussian intro
Maximize Gaussian
Variance comparison
Measurement and motion
Parameter update
New mean variance
Kalman filter code
Gaussian motion
Kalman prediction
Kalman matrices
Kalman filter design

Slate space
Particle filters
Belief modality
Using Robot class
Robot particles
Robot world

Motion planning
Optimal path
Compute cost
First search programme
Expansion grid
Dynamic programming
Optimal policy
Computing value

Robot motion
Path smoothing
Smoothing algorithm
Zero data weight
Pid control
Proportional control
Oscillations
Implement P controller
Pd controller
Pid implementation
Systematic bias
Parameter optimization

Localization
Segmented site
Planning
Fun with parameters
SLAM
Graph SLAM
Implementing constraints
Matrix modification
Adding landmarks
Landmark position
Untouched fields
Confident measurements
Implementing SLAM

Evaluation process

The candidate’s performance for the Artificial Intelligence for Robotics programme will be evaluated based on the quizzes and assessments that will take place during the middle of the course curriculum.

Instructors

Georgia Tech Frequently Asked Questions (FAQ's)

1: How can a candidate apply for the scholarship if they wanted to opt for any?

The candidate needs to apply for the scholarship they want to opt for. Afterward, Udacity will cross-check the eligibility of the candidate.

2: On what basis does the candidate’s performance be evaluated for the certificate?

The candidate’s performance in quizzes and assessments will be considered for the Artificial Intelligence for Robotics certification criteria.

3: What are the eligibility criteria to apply to the course?

The candidate needs to have basic knowledge of mathematics and Python or any other language along with some programming experience to apply for the course.

4: On what platform do the classes take place for the entire duration?

The classes will take place in the Udacity classroom only. All the lectures are recorded.

5: Is there any fee that candidates need to pay for the Artificial Intelligence for Robotics online course?

No, the entire course is free. Candidates don’t have to pay any fee for the course.