Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
The Reinforcement Learning System (Capstone) certification course is a part of the ‘Reinforcement Learning Specialisation’ programme available on Coursera. This course is the 4th and final course in the series and aims to provide the students with complete practical knowledge on how to carry out Reinforcement Learning solutions in the real world.
In the Reinforcement Learning System (Capstone) online course, students will gain well-rounded and application-based skills that will help them in implementing Reinforcement Learning. They will complete the entire Reinforcement Learning problem-solving process – starting with the formulation of a problem, assessing the appropriate algorithm for the problem, and validating the impacts of the algorithm.
The Reinforcement Learning System (Capstone) programme by Coursera is suited for anyone who is expected to perform RL solutions in their field, along with the knowledge of skills like Machine Learning and Reinforcement Learning. The candidates will delve deep into the formalisation of a problem and how to translate it into an MDP. Finally, they will submit their Parameter Study towards the end of the course.
Certificate Availability | Certificate Providing Authority |
---|---|
yes | University of Alberta, EdmontonCoursera |
A Complete Reinforcement Learning System (Capstone) fee details:
Head | Amount |
1 Month | Rs. 6,587 |
3 Months | Rs. 13,174 |
6 Months | Rs. 19,761 |
This course is a part of the Reinforcement Learning Specialisation programme offered by Coursera. Thus, candidates who want to enrol for the Reinforcement Learning System (Capstone) by Coursera should have completed the first three courses in this specialisation programme.
Furthermore, you need intermediate-level knowledge of introductory linear algebra, Python 3.0 (at least one year), calculus, and probability. You should also know how to implement algorithms using pseudocode.
After successful completion of the Complete Reinforcement Learning System (Capstone) programme, candidates will have gained knowledge of the following:
The Reinforcement Learning System (Capstone) programme by Coursera is recommended for professionals who have studied computer science at the undergraduate level, for at least one year. Or else, candidates who want to pursue a career in Artificial Intelligence and Data Science.
To enrol for the Reinforcement Learning System (Capstone) certification course by Coursera, candidates need to follow the steps given below:
Candidates do not need to fill a separate application for the Reinforcement Learning System (Capstone) programme. You can simply enrol for the course by logging in to your existing Coursera account or creating a new one. After this, you have to select your preferred mode of payment and complete the fee payment for a successful application.
Yes, there is an option to audit the course for free. However, in this option, you do not get practice assignments or a certificate.
Yes, the University of Alberta’s Alberta Machine Intelligence Institute offers the Reinforcement Learning System (Capstone) course. This is a world-renowned Alberta-based research institute in Machine Intelligence.
Since the Reinforcement Learning System (Capstone) online course falls under the domain of data science, there is intensive practical learning. Candidates need to apply empirical learnings, submit projects, and perform graded tests and assignments. You also get a practice exercise to consolidate your knowledge.
Coursera is the leading online certification provider where you can get unlimited professional certificates and learn anything. You can also get a Courser Plus membership which gives you unlimited access to guided projects and specializations.
The certificate displays the name of the candidate and indicates the successful completion of the course by the candidate. This certificate can be shared on your LinkedIn profile, printed resumes, and CVs.