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    A Complete Reinforcement Learning System Capstone

    Offered by

    University of Alberta, Edmonton , Alberta Machine Intelligence Institute 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.

    ...Read More
    6 Weeks
    Intermediate
    ₹ 6,634
    Brochure Enquire
    Skills Covered:
    Knowledge of Algorithms Machine learning Knowledge of Artificial Intelligence
    Sample Based Learning Methods

    Offered by

    University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
    Certificate

    Sample-based Learning Methods

    The University of Alberta and Alberta Machine Intelligence Institute offer the Sample-based Learning Methods training programme in conjunction with Coursera. An intermediate-level course, the programme is spread across four weeks, with intensive modules on reinforcement learning. The course will also help you understand how learning from experience can help you attain optimal behaviour. 

    The Sample-based Learning Methods certification course will help you understand concepts like Temporal Difference learning, Monte Carlo strategy, exploration, dynamic programming, and more. Moreover, the certification course will provide you with a chance to apply TD algorithms, Expected Sarsa, Q-learning, and more.

    Instructors will conclude the Sample-based Learning Methods online course by looking at how algorithms can combine model-based planning and temporal difference updates to fast-track learning. Additionally, the certification course offers the flexibility to learn at your own pace in your own time and set your own deadlines. 

    You will also receive a combined shareable certificate from the University of Alberta and Coursera, upon completion of the Sample-based Learning Methods course.

    ...Read More
    5 Weeks
    Intermediate
    ₹ 6,634
    Brochure Enquire
    Skills Covered:
    Machine learning Knowledge of Artificial Intelligence
    Prediction and Control with Function Approximation

    Offered by

    University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
    Certificate

    Prediction and Control with Function Approximation

    Reinforcement learning is a machine learning method that helps to understand how the software agents should take actions according to the situations and requirements. Helps solve all the problems that have large or high dimensional and potential limitless spaces available. It helps one to investigate how policy prediction and evaluation methods like TD and Monte Carlo can be used to help function approximation settings. 

    Prediction and Control with Function Approximation certification course by Coursera include features construction techniques for representational learning through a neutral network, RL and backdrop. This course is designed for the candidates who have completed the first and the second part of the reinforcement learning and specialization training as it is a continuation of the same.

    By doing the Prediction and Control with Function Approximation training course they will be a field ready and gain knowledge that will help them master their skills and help upgrade their portfolio which will, in the end, help them towards their successful career. 

    ...Read More
    5 Weeks
    Intermediate
    ₹ 6,634
    Brochure Enquire
    Skills Covered:
    Machine learning Knowledge of Artificial Intelligence
    Fundamentals of Reinforcement Learning

    Offered by

    University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
    Certificate

    Fundamentals of Reinforcement Learning

    The course Fundamentals of Reinforcement Learning certification course is offered by Coursera by collaboration with the University of Alberta to make the aspirants skilful with machine learning and applications of Artificial Intelligence. The course is free to enrol and can access all the course materials free of cost. Therefore aspirants can use the opportunity for growing their career with a course completion certificate and increase the chances of hiring.

    With the digital connection over the world, Business Intelligence over decision making is made essential in organizations. Decision making increases the prosperity of the business. Therefore the use of decision making with Artificial Intelligence and machine learning became most popular when the programme comes into existence. Organizations are looking forward to candidates who are skilled in this type of Artificial Intelligence, Robotics, Machine learning and, the Internet of things (IoT) as well

    Coursera is the digital platform to learn the concepts that are offered for free. Candidates can learn throughout their lifetime and can avail of certificates after completion of the Fundamentals of Reinforcement Learning Training course. 

    ...Read More
    Intermediate
    ₹ 6,634
    Brochure Enquire
    Skills Covered:
    Decision making skills Machine learning Knowledge of Artificial Intelligence

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