Reinforcement Learning : Algorithms, Applications & Frontiers
Live Registration
BATCH #24
03Seats Left
92% Booked
Registration Closed
Course Overview
Workshop Registration End Date :2025-04-24
Program Syllabus
Module 1
About
Reinforcement Learning (RL) is a key area of machine learning where agents learn optimal actions by maximizing cumulative rewards in an environment. It lies at the heart of AI systems capable of autonomous learning and decision-making. This workshop combines theory, coding, and cutting-edge applications, enabling participants to develop intelligent systems powered by RL.
Module 2
Aim
The Reinforcement Learning (RL) Workshop is designed to introduce learners to the core principles, algorithms, practical applications, and emerging frontiers of reinforcement learning. Participants will understand how RL agents learn from interactions, optimize performance through feedback, and apply these methods to domains like robotics, gaming, finance, healthcare, and AI research.
Limited SeatsClosing Soon
Reinforcement Learning : Algorithms, Applications & Frontiers
Professional Certification Program
đĽ
FormatLive + Recorded
đ
Duration8 Weeks
đ
CertificationVerified
Module 3
Workshop Objectives
- To provide a strong conceptual and practical foundation in reinforcement learning
- To teach key RL algorithms and their variants, with real-world implementation
- To explore applications of RL across industries and domains
- To introduce advanced methods and current frontiers in RL research
- To highlight ethical concerns, safety, and AI alignment issues in RL systems
Module 4
Workshop Structure
Module 5
đ§ Day 1: RL Foundations & Algorithms
- RL Concepts: Agents, environments, rewards, policies
- Key Algorithms: Q-Learning, DQN, A3C, PPO
- RL vs. Supervised & Unsupervised Learning
Live Activities: - RL agent demo (OpenAI Gym + Colab)
- Interactive quiz (Kahoot/Slido)
Module 6
đ Day 2: Real-World Applications
- Use Cases: Robotics, finance, healthcare, gaming, recommendations
- Deployment Challenges: Efficiency, safety, interpretability
- Industry Case Studies: Uber, Netflix, DeepMind
Live Activities: - Simulation: Stock trading / warehouse RL task
- Guest expert session + Q&A
Module 7
đŹ Day 3: Tools & Future Frontiers
- Tools: Ray RLlib, TensorFlow Agents, PyTorch RL, Unity ML-Agents
- Advanced Topics: Offline RL, Multi-Agent RL, Safe RL, LLM integration
- Domains: Climate, edge AI, quantum computing
Live Activities: - RL training demo (Ray RLlib + Colab)
- Open forum: Trends, research, collaboration
Module 8
Intended For
- Machine Learning & AI Engineers
- Data Scientists & Researchers
- Robotics Developers & Software Engineers
- Quantitative Analysts & Financial Engineers
- Graduate Students in CS, EE, or Math
Module 9
Important Dates
Module 10
Registration Ends
2025-04-24
Indian Standard Timing 4 PM
Module 11
Workshop Dates
2025-04-24 to 2025-04-26
Indian Standard Timing 6 PM
Module 12
Workshop Outcomes
â Understand theoretical and mathematical underpinnings of reinforcement learning
â Be able to implement core and deep RL algorithms from scratch and using frameworks
â Gain hands-on experience in training intelligent agents in simulated environments
â Explore real-world case studies where RL is making significant impact
â Stay informed about the latest trends and open research problems in RL
Module 13
![]()
Mentor Profile
Module 14
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
List of Currencies
Fee Structure
Module 18
Industry Professional
INR. 4999
USD. 85
List of Currencies
Module 19
FOR QUERIES, FEEDBACK OR ASSISTANCE
Module 20
![]()
Key Takeaways
- Access to Live Lectures
- Access to Recorded Sessions
- e-Certificate
- Query Solving Post Workshop
Module 21
Future Career Prospects
- Reinforcement Learning Engineer
- AI/ML Research Scientist
- Robotics & Autonomous Systems Developer
- Algorithmic Trading Strategist
- AI Product Manager (with RL focus)
Module 22
Job Opportunities
- Tech Companies (e.g., DeepMind, OpenAI, Google Brain, Meta AI)
- Autonomous Vehicle Startups & Labs
- Financial Firms & Hedge Funds
- Robotics & Automation Companies
- Research Institutes and Academia
Module 25
Enter the Hall of Fame!
Take your research to the next level!
Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.
Centre of Excellence
Join the esteemed Centre of Excellence.
Networking and Learning
Network with industry leaders, access ongoing learning opportunities.
Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth âš20,000/USD 1,000).
Achieve excellence and solidify your reputation among the elite!
×
Module 26
![]()
![]()
![]()
![]()
Related Courses
Digital Twins: Predictive …
AI in Sound Modification
AI, Biopolymers, and Smart …
AI-Powered Drug Discovery with …
Module 27
Machine Learning for Optimizing Lipid Nanoparticles (LNPs) in mRNA & Gene Delivery
Machine Learning for Optimizing Lipid Nanoparticles (LNPs) in mRNA & Gene Delivery
Surveillance and Data Analytics of Antimicrobial Resistance (AMR) in Public Health
View All Feedbacks
Recent Feedbacks In Other Workshops
none
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Instant Access
Need Guidance?
Not sure if this course is right for you? Schedule a free 15-minute consultation with our academic advisors.