Reinforcement Learning Masterclass: From Algorithms to Business Impact for Enterprises
2-hour intensive live course designed for data scientists, AI engineers, product managers, and business leaders who want to understand how RL works and drives enterprise value.
Your Expert Instructors
Mukesh K
Senior D/AI Scientist & Researcher, IBM Data and AI
Manoj Gupta
Founder & CEO, Plotch.ai
What You'll Learn
RL Fundamentals
How RL differs from supervised & unsupervised learning, key concepts, and core principles.
Popular Algorithms
Q-learning, Policy Gradient, PPO, DQN explained simply with practical insights.
Enterprise Applications
RL in supply chain, pricing, IT operations, fraud detection, and agentic workflows.
Challenges & Solutions
Sample efficiency, convergence speed, reward design issues, and enterprise-scale solutions.
RL & AGI Discussion
RL's role in pushing AI towards autonomy & general intelligence - open debate and insights.
Best Practices
Enterprise adoption strategies, optimization techniques, and real-world implementation guidance.
Course Breakdown (2 Hours)
Setting the Stage (0-15 min)
- • Introduction to RL & its enterprise relevance
- • Why RL matters for next-gen AI systems
RL Fundamentals (15-45 min)
- • Key RL concepts: agents, environments, states, actions, rewards
- • RL vs traditional ML: where RL shines
- • Popular algorithms overview (Q-learning, PPO, DQN, Actor-Critic)
RL in Enterprises (45-75 min)
- • IT Ops (self-healing infra, anomaly control)
- • Retail (dynamic pricing, personalization)
- • Finance (fraud detection, portfolio optimization)
- • Manufacturing (robotics, supply chain optimization)
- • Case studies of RL-driven systems
RL Challenges & Optimization (75-105 min)
- • Why RL is hard: reward shaping, exploration vs exploitation
- • Solutions: smarter sampling, offline RL, hybrid models
- • Enterprise best practices for adoption
RL & the Road to AGI (105-115 min)
- • Can RL go beyond narrow tasks to general intelligence?
- • Role of RLHF in LLMs
- • Open debate: RL as necessary but not sufficient for AGI
Wrap-Up & Q&A (115-120 min)
- • Key takeaways for technical & strategic audiences
- • Interactive Q&A with participants
Who Should Attend?
Technical Professionals
Business Leaders
Secure Your Spot Today
Early bird pricing - Limited seats available!