Executive Master in Strategic Finance and Business Leadership

Executive Decision Making Executive Master - High-Pressure Decisions

Course ID:   2607200104354LuEMT

Course Dates :          20/07/26             Course Duration :   5   Studying Day/s   Course Location: London,   UK

Language:  Bilingual


Course Category:          Executive Masters


Course Subcategories:   


Course Certified By:  LondonUni - Executive Management Training


* Executive Masters Certificate


Certification Will Be Issued From :  From London, United Kingdom


Course Fees:      £0.00

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https://www.educationandserviceshub.net/2026-training-outlines-short/2607200104354LuEMT
Executive Master in Strategic Finance and Business Leadership

Course Information

Introduction

Objectives

Who Should Attend?

Training Method

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment

Program Support

This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.

Daily Agenda

Daily Schedule (Monday to Friday)
- 09:00 AM – 10:30 AM Technical Session 1
- 10:30 AM – 12:00 PM Technical Session 2
- 12:00 PM – 01:00 PM Technical Session 3
- 01:00 PM – 02:00 PM Lunch Break (If Applicable)
- Participants are expected to engage in guided self-study, reading, or personal reflection on the day’s content. This contributes toward the CPD accreditation and deepens conceptual understanding.
- 02:00 PM – 04:00 PM Self-Study & Reflection

Please Note:
- All training sessions are conducted from Monday to Friday, following the standard working week observed in the United Kingdom and European Union. Saturday and Sunday are official weekends and are not counted as part of the course duration.
- Coffee and refreshments are available on a floating basis throughout the morning. Participants may help themselves at their convenience to ensure an uninterrupted learning experience Provided if applicable and subject to course delivery arrangements.
- Lunch Provided if applicable and subject to course delivery arrangements.

Course Outlines

Part 1 / 9
Day 1:
Foundations of Reinforcement Learning

Introduction to RL: Key Concepts and Terminology
Understanding Markov Decision Processes (MDPs)
Exploration vs. Exploitation Trade-off
Hands-On Exercise: Simulating Simple RL Environments


Day 2:
Core Algorithms and Techniques

Dynamic Programming Methods: Policy Iteration and Value Iteration
Monte Carlo Methods for Estimating Value Functions
Temporal Difference Learning and Q-Learning
Practical Application: Solving Gridworld Problems


Day 3:
Advanced Topics in RL

Function Approximation for Large-Scale Problems
Deep Reinforcement Learning: Combining Neural Networks with RL
Policy Gradient Methods and Actor-Critic Models
Case Study: Autonomous Vehicle Navigation Using RL


Day 4:
Multi-Agent Systems and Real-World Applications

Introduction to Multi-Agent Reinforcement Learning (MARL)
Cooperative vs. Competitive Scenarios in MARL
Industry Applications: Robotics, Gaming, and Supply Chain Optimization
Group Project: Designing a Multi-Agent RL System


Day 5:
Ethical Considerations and Future Trends

Addressing Bias and Fairness in RL Models
Scalability Challenges in Deploying RL Solutions
Emerging Trends: Meta-Learning and Hierarchical RL
Final Presentations and Feedback Session