5 Courses and Certifications

Online Deep Reinforcement Learning Courses & Certifications

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Certificate

Deep Reinforcement Learning Programme

This course by Udacity has been specially crafted for candidates seeking to improvise their machine learning and deep learning skills. Pioneering machine learning algorithms have been focused on along with furnishing course-takers with hands-on coding experience. These exercises are challenging to prepare the candidates for the best and the worst. They are also unrestricted and cover a variety of concepts.

This Deep Reinforcement Learning course online certification deals with unique concepts which make this course stand out. Using a combination of Python and deep learning libraries, the candidates can implement their learnings for good. The projects submitted by students shall form their portfolio, entitling them to lucrative jobs in the field. The course basically explores the budding interest and trends in the deep learning arena so that candidates can strike a niche in their career.

Experienced mentors, scientifically-crafted syllabus, additional resources for improvisation and many more features make this course an ideal fit for exploring the spell-bounding innovations in Artificial Intelligence. The course serves as the perfect foundation for learning the mechanisms concerning gaming, robotics, and financial trading.

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4 Months
91,396
Skills Covered:
Knowledge of deep learning

Offered by

University of Alberta via Coursera
Certificate

A Complete Reinforcement Learning System (Capstone)

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.

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6 Weeks
Intermediate
Skills Covered:
Knowledge of Algorithms Machine learning Knowledge of Artificial Intelligence
Practical Reinforcement Learning

Offered by

Certificate

Practical Reinforcement Learning

The Practical Reinforcement Learning programme by Coursera is the fourth out of the seven courses included in the ‘Advanced Machine Learning Specialization’. Offered by the National Research University- Higher School of Economics, this online programme will make you an expert in the field of machine learning.

Reinforcement Learning is one of the fundamentals of machine learning. Without getting a good grasp of this particular area, one cannot master the art of artificial intelligence. With the certification course in Practical Reinforcement Learning by Coursera, you can get in-depth knowledge about Reinforcement Learning and hone the various skills required to master this area of machine learning.

The Practical Reinforcement Learning online course by Coursera is well equipped with a planned curriculum as well as offerings like graded quizzes and assignments, peer feedbacks, practice quizzes, etc. that will help you to become proficient in this field. You will earn a shareable certificate upon completion as well.

The Practical Reinforcement Learning online programme by Coursera is a full package that covers all the core concepts of Reinforcement Learning, including free methods, dynamic programming, value-based methods, neural networks, algorithm-writing, model-free methods, and more.

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6 Weeks
Expert
Skills Covered:
Machine learning Data science knowledge Knowledge of Artificial Intelligence Programming skills Knowledge of Algorithms

Offered by

Certificate

Reinforcement Learning

The course of Reinforcement learning offered by Edureka is a well structured programme specially designed for candidates having keen interest in machine learning and are eager to build a career in this field.

This course is a great resource for getting familiar with reinforcement learning, which falls in the area of machine learning. During this course the learners will be introduced to branches and elements of machine learning, bellman equation, value iteration, policy gradient methods, monte carlo methods and value function.

In addition to this they will also get sound knowledge of RL agent taxonomy, bandit algorithms, temporal difference (TD) methods, markov process and dynamic programming. All this knowledge will help them perform better in unfavorable conditions.

This certification and knowledge offered during the programme is of great benefit to all the people who want to explore the space of reinforcement learning, and to working professionals related to computer science fields like web development, programming and software development for getting increment in salary or for getting promotion. The rapidly increasing popularity of machine learning makes this course even more profitable in terms of employment.

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7,499
Skills Covered:
Programming skills Machine learning
Autonomous Navigation

Offered by

Certificate

Autonomous Navigation

The ‘Autonomous Navigation’ online programme is offered by the International School of Engineering (INSOFE) to the students who are interested in learning about the algorithms associated with the mapping and motion planning of autonomous vehicles. The online course is scheduled for the candidates to learn for free through the ten online sessions. The students are expected to spend three to five hours every week apart from the online sessions for the online programme.

The course instructor for this online training is Dr Parag Mantri, who is a principal data scientist and an associate professor at the International School of Engineering. The professional guidance in this course will help the learners gain an understanding of perception, navigation, path planning, technologies for control and algorithms. The candidates will get an opportunity to know about the concepts of software and mathematics that enable autonomous navigation in self-driven vehicles and develop techniques and strategies for the field.

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Skills Covered:
Knowledge of deep learning Machine learning Automation skills Mapping skills Robotic skills Knowledge of Algorithms Mathematical skill Knowledge of engineering Mechanical knowledge Knowledge of Artificial Intelligence

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