Get updates on Eligibility, Admission, Placements Fees Structure
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
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)
The candidate needs to apply for the scholarship they want to opt for. Afterward, Udacity will cross-check the eligibility of the candidate.
The candidate’s performance in quizzes and assessments will be considered for the Artificial Intelligence for Robotics certification criteria.
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.
The classes will take place in the Udacity classroom only. All the lectures are recorded.
No, the entire course is free. Candidates don’t have to pay any fee for the course.