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Deep Reinforcement Learning For Research (A-Z in Bangla- Recorded)

Course Description

Master deep reinforcement learning techniques with our comprehensive course. Dive into cutting-edge algorithms, hands-on exercises, and real-world applications. Elevate your understanding of AI and robotics while optimizing your career prospects. Enroll now and unlock the potential of deep reinforcement learning!

Reinforcement Learning

  • Introduction
  • Application of Reinforcement Learning
  • Core Components of RL
  • Agent
  • State
  • Environment
  • Next State
  • Reward
  • Q-Table
  • Q-Learning
  • Bellman Equation

Deep Reinforcement Learning

  • Q-Learning
  • Deep Q-network (DQN)
  • Policy Gradient Methods
  • Actor-Critic Methods
  • Deep Deterministic Policy Gradient (DDPG)
  • Twin Delayed DDPG (TD3)

Deep Reinforcement Learning For Research

  • How to Select Topic
  • How to Find out Research Idea from the Literature Review
  • How to Make a Idea Proposal
  • Implement one or two Deep RL Algorithm to Our Proposed Idea
  • Result Comparison

Evaluation

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Will You Get a Certificate After the Course:
Yes, after completing the course you will achieve the certificate. There are 3 Types of Certification available based on assessment in our each course. These types are mentioned below:

  1. General Certificate (If the total marks are between 60% and 70%)
  2. White Belt Certificate (If the total marks are between 70% and  90%)
  3. Black Belt Certificate (If the total marks are between 90% and 100%)

How do we evaluate a Student for certificate:
Our Evaluation Process is extremely simple. Our Evaluation process is maintained by following steps:

  1. Class Attendance (between 60 - 100%)
  2. Assignment Submission (Bonus Point for Quick Submission, As Usual Points For On-Time Submission, Minus point for late submission)
  3. Mock Test (Written + Viva)
  4. Project Submission (Bonus Point for Quick Submission, As Usual, Points For On-Time Submission, Minus points for late submission)
  5. Soft Skills

Please note that the evaluation always be done by the internal and external judges via a blind review process

 

How do we recommend a Student for the job:
After completing the course, the white and black belt-certificated students will be allowed to join our stem-learning-based boot camp. The students will need to complete the boot camp with proper instruction and discipline. After completing the boot camp, we will recommend the desired candidate to any company in sha Allah.

Reviews through our website

Reviews through Social Media

Tasfiq Kamran

Aminul Mahi

Shaiful Islam

MD Asadullah Shibli

Obaydullah Hasib

Nirban Mitra Joy

Md Maniruzzaman Manir

Md Anower Hossain

Mehedi Azad

Alomghir Hossain

Video Feedback

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Key Topics:

  • Core Components of RL
  • Q-Table, and Q-Learning
  • Deep Q-network (DQN)

Price

3000

Discount Price

1800

Duration

2 Months

Available Seats

80

Class Type

Pre-Recorded

Access

Lifetime

Time

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