Reinforcement Learning Training in Gurgaon, Delhi

Reinforcement Learning

A fun and hands-on introduction to RL with Python, enabling you to create intelligent machines and Deep RL

Duration : 1 year Classes : 72 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

When people refer to AI today, some of them think of Machine Learning, while others think of Reinforcement Learning (RL). Reinforcement learning is another approach to machine learning alongside supervised learning and unsupervised Learning. If AI is the science that tries to mimic Human Intelligence, then RL is the closest match to the way we think.

This hands-on training provides a comprehensive introduction to Reinforcement Learning, a powerful AI paradigm that enables agents to learn by interacting with their environment. The training covers the fundamental concepts of RL, including Markov Decision Processes (MDPs), value functions, policy optimization, and exploration-exploitation tradeoff. Students will also gain hands-on experience with implementing RL algorithms using popular Python libraries.

Target Audience:-
-Students who want to get started in AI, Robotics
-PhD students who wish to incorporate AI, Robotics techniques in their research
-Programmers who want to specialize in AI and Robotics
-AI Scientists and Researchers

Learning Outcomes:-
-Explain the core concepts of reinforcement learning
-Formalize problems as Markov decision processes
-Implement dynamic programming algorithms for solving small RL problems
-Understand the principles of value-based and policy-based RL algorithms
-Apply RL algorithms to solve real-world problems using Python
-Evaluate the performance of RL algorithms and identify potential challenges

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

-Basic Programming skills in Python
-Familiarity with mathematical concepts such as Probability, linear algebra, and calculus
-Familiarity with Machine Learning Algorithms

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NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: RL Foundations and Markov Decision Processes (MDPs)
✔ Introduction to RL
✔ Markov Property and Processes
✔ Markov Decision Processes (MDPs)
✔ Bellman Equations
✔ Exploration vs. Exploitation
✔ Rewards, states, actions, and policies

Module 2: Planning with Dynamic Programming (DP)
✔ Introduction to Dynamic Programming
✔ Policy Evaluation
✔ Policy Improvement
✔ Policy Iteration (PI)
✔ Value Iteration (VI)

Module 3: Model-Free Learning: Prediction & Control
✔ Monte Carlo (MC) Methods
✔ Temporal Difference (TD) Learning
✔ Sarsa (On-Policy Control
✔ Q-Learning (Off-Policy Control)
✔ n-step Bootstrapping and TD

Module 4: Deep Reinforcement Learning (DRL) for Large Spaces
✔ Function Approximation
✔ Deep Q-Networks (DQN)
✔ Policy Gradient Methods (REINFORCE)
✔ Actor-Critic architectures
✔ Proximal Policy Optimization (PPO)

Module 5: Advanced DRL Algorithms and Continuous Control
✔ Proximal Policy Optimization (PPO)
✔ Deterministic Policy Gradients (DDPG/TD3)
✔ Soft Actor-Critic (SAC)
✔ Model-Based RL
✔ Intrinsic motivation and curiosity-driven learning

Module 6: Advanced Topics and Real-World Applications
✔ Exploration Techniques
✔ Offline RL
✔ Multi-Agent RL (MARL)
✔ RL from Human Feedback (RLHF)
✔ Inverse reinforcement learning
✔ Boltzmann exploration

Module 7: Capstone Project
✔ Choose a domain: robotics, finance, gaming, or healthcare
✔ Design and train an RL agent
✔ Evaluate performance and present findings

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.