AI for iGaming Automation Masterclass

Module 1: Foundations & Governance

• The AI Landscape: Text (LLMs) vs. Images (Diffusion Models) in iGaming.
• Data Security: Understanding “Local-First” AI and preventing PII leakage.
• Advanced Prompting: The RTC Framework (Role, Task, Constraints).
• Visual Workshop: Creating brand-consistent game assets and marketing banners using Image Generation.

Module 2: Logic & Process Mapping

• The “Bridge” to Engineering: Transitioning from conversational AI to logical AI.
• Visual Logic: Introduction to Node-based editors (No-Code).
• Workflow Audits: Mapping manual failure points in current business processes.
• Practical Lab: Designing a “KYC Decision Tree” logic flow.

Module 3: Building Autonomous Agents

• Agentic Architecture: Defining “Planning,” “Memory,” and “Tools.”
• The Reflection Pattern: Building agents that “self-correct” errors.
• Compliance by Design: Embedding regulatory checks into AI workflows.
• Practical Lab: Building a “Marketing Compliance Auditor” agent that checks both text and image concepts.

Module 4: Tool Use & Deployment

• Connectivity: Giving agents access to search, spreadsheets, and Image Generation APIs.
• The “Human-in-the-Loop”: Designing safety breaks for automated systems.
• Capstone Project: The “15-Minute Productivity Challenge” – solving a real departmental pain point (e.g., automated banner creation).

This course is designed for operational and product staff looking to scale their output without requiring engineering resources:

CRM & VIP Managers: Automate personalized player outreach and segmentation logic.
Compliance & AML Officers: Build automated “second-line” defence agents to scan chat logs and documentation.
Product Owners: Prototype game mechanics, visual themes, and technical requirements documents (PRDs) rapidly.
Marketing Teams: Create compliant, multi-variant ad copy and visual assets at scale.

To ensure practical competence, certification is awarded based on the successful completion of the capstone project. Participants must demonstrate:

1. A mapped logic flow of a business process.
2. A functioning AI agent that successfully executes the process.
3. Adherence to data privacy standards within the agent’s design.

Course format: Virtual Classroom

You’ll learn alongside other professionals at a similar stage in their careers, allowing for engaging discussions and collaborative learning.

Industry Specialist

This course is hosted by Mark Flores Martin, Founder of XGENIA.

Entry Criteria & Suitability

This course will be conducted in English, and requires a good level of comprehension. Students must be 18 years or older upon starting this course. Under 18’s are advised to contact us to discuss alternative training arrangements.