Brochure
Enquire- Branches of Machine Learning
- What is Reinforcement Learning?
- The Reinforcement Learning Process
- Elements of Reinforcement Learning
- RL Agent Taxonomy
- Reinforcement Learning Problem
- Introduction to OpenAI Gym
Reinforcement Learning
BY
Edureka
Fulfil your dream to become a certified Reinforcement Learning Professional through the course of Reinforcement ...Read more
Online
₹ 6749 7499
Inclusive of GST
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
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.
The highlights
- No cost EMI option available
- Lifetime access to learning management system (LMS)
- Cloud lab access for 60 days
- 24 x 7 availability of experts for solving doubts
- Free career counseling facility
- Complimentary self-paced courses
Program offerings
- Projects based on real-life case studies
- Practical assignments
Course and certificate fees
Fees information
₹ 6,749 ₹7,499 (Inclusive of GST)
The course for the fees Reinforcement Learning is -
| Head | Amount in INR |
| Original price | Rs. 7,499 |
| Discounted price | Rs. 6,749 |
*No Cost EMI starts at Rs. 2,250 / month
certificate availability
Yes
certificate providing authority
Edureka
Who it is for
The course of Reinforcement learning is a popular course which caters to the needs of different individuals.
This course is recommended to the following people:
- People interested to learn reinforcement learning
- Programmers
- Software developers
- Web developers
- Anyone aspiring to become a machine learning engineer
Eligibility criteria
Education
For this course candidates must have basic knowledge of deep learning library like pytorch/ theano/ tensorflow, probability, neural networks, python, fundamentals in AI & ML and frameworks.
Certification qualifying details
Candidates shall be awarded a certification of “Reinforcement Learning Professional" after successful completion of the project.
What you will learn
Programming skills
Machine learning
After successful completion of the course Reinforcement learning candidates would be able to gain essential insights on-
- Working of reinforcement learning and its fundamentals
- Knowledge of policy gradient methods
- Introduction to an area of machine learning
- Application of policy gradient algorithm to train the agent
- Methods of using a given environment in openAI gym
- Training an RL agent to accomplish a predefined tasks
- Takeaways from live training projects based on real-life studies to obtain hands-on experience
The syllabus
Introduction to Reinforcement Learning
Topics
Bandit Algorithms and Markov Decision Process
Topics
- Bandit Algorithms
- Markov Process
- Markov Reward Process
- Markov Decision Process
Dynamic Programming & Temporal Difference Methods
Topics
- Introduction to Dynamic Programming
- Dynamic Programming Algorithms
- Monte Carlo Methods
- Temporal Difference Learning Methods
Deep Q Learning
Topics
- Policy Gradients
- Policy Gradients using TensorFlow
- Deep Q learning
- Q learning with replay buffers, target networks, and CNN
In-class Project
Admission details
The Reinforcement learning course admission process is very direct and easy. Candidates are advised to keep their billing details and payment option ready.
The candidates should follow the given steps to enrol in the course:
Step 1: Visit the webpage https://www.edureka.co/reinforcement-learning-course and click on enroll now.
Step 2: Fill in your email id and contact number then click on start learning.
Step 3: From there select your desired batch timing
Step 4: Enter a coupon code, if available. Else, review the transaction details.
Step 5: Enter your billing details.
Step 6: Choose the suitable payment method for making the transaction.
Step 7: You can access the live classes after your transaction is complete.
How it helps
The Reinforcement learning certification training provided by edureka is an outstanding programme created for helping people interested in this field. Through this course individuals will be introduced to Reinforcement Learning, an area of Machine Learning.
This course covers many topics like monte carlo policy, gradients optimality and approximation, bellman equations, markov processes, contextual bandits, reinforcement learning problem, markov decision processes, policy improvement, value iteration and efficiency of dynamic programming. Due to the splendid course offerings it acts like a boon to both professionals already working in this field or to anyone who wants to explore this field.
Some predictions reveal that in the future billions will be budgeted towards machine learning, which increases the importance of this training even more. At the end of the course, a reinforcement learning professional certificate will be provided to the learner based on the project.
Working professionals like web developers, programmers and software developers can upload this certificate in their profile on linkedin or any other platform for getting better job opportunities, or can use this at their present job for getting promotion and hike in salary.
This will also help people for their start-ups and will assist freshers in building strong and impactful resumes, which will help them outshine among their fellow competitors. The emerging scope of machine learning engineers make this course best suited for people eager to work in this field.
FAQs
How can I execute practicals in reinforcement learning certification training?
For performing practicals in reinforcement learning certification training 60 days of free access to cloud lab has been provided which will ensure practice of skills in a pre-configured environment.
What is the significance of taking this course from Edureka?
Edureka is a popular e-learning platform providing live instructor-led interactive online training in various categories. Which help to cater professionals and students across the globe with an easy and affordable learning solution.
When will I get to access the learning content after signing up?
After enrolment, the access to LMS will be provided instantly to you and will be available for lifetime. Containing a complete set of previous class recordings, assignments, PPTs and PDFs. You can start learning right away.
Can I access the course material even after the course training is completed?
Yes, in Edureka you only have to pay once and will get lifetime access to the available course material.
What are the topics discussed during this course?
Some of the topics discussed in this course are:
- Optimality and approximation
- Optimal value functions
- Bellman optimality equation
- What is reinforcement learning?
- Branches of machine learning
- Elements of reinforcement learning
- Reinforcement learning - how does it differ from other machine learning paradigms
What do I do if I have queries after completing this course?
There is a 24x7 online support team for resolving all your technical queries and doubts that works on a ticket based tracking system. The team will assist you in resolving queries, throughout and after the course for lifetime.
What is the eligibility criteria for taking this course?
The learner should be aware of the following topics for taking this course:
- Deep learning library like pytorch/ theano/ tensorflow
- Probability
- Neural networks
- Fundamentals in AI & ML
- Python
- Frameworks
What are the system requirements for performing training in this course?
For this course any system having an Intel i3 processor or above, an operating system either of 32bit or 64bit and minimum 3GB RAM (4GB recommended) is required for performing training.
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