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AI Engineering for Compliance Agents

ProfessionalAIS2163

Design advanced AI agents and integrate them with regulatory frameworks. Bridges foundational AI knowledge and specialized engineering skills for compliance environments. Covers agent design, memory systems, RAG pipelines, MCP integration, and governance frameworks.

Learning Outcomes

  • Design and deploy compliance-focused AI agents
  • Build memory systems for audit trails and historical tracking
  • Develop RAG pipelines for regulatory documents
  • Integrate AI tools with compliance data sources and APIs via MCP
  • Establish AI governance frameworks for regulated environments
  • Apply prompt architecture patterns for regulatory analysis

Course Modules

Module 1: AI Fundamentals for Compliance Professionals

PT3H

Core AI concepts, LLM architectures, and how they apply to compliance workflows. Understanding tokens, context windows, and model capabilities.

Module 2: Prompt Architecture for Regulatory Analysis

PT3H

Move beyond basic prompting to systematic prompt design. Chain-of-thought reasoning, few-shot patterns, and structured output for compliance queries.

Module 3: Agent Memory and Context Management

PT4H

Design memory systems that maintain audit context across sessions. Vector databases, session stores, and compliance-specific retrieval patterns.

Module 4: RAG Pipelines for Regulatory Frameworks

PT4H

Build retrieval-augmented generation systems over regulatory documents. Chunking strategies, embedding models, and accuracy validation for compliance data.

Module 5: MCP Integration with Compliance APIs

PT3H

Connect AI agents to compliance data sources using Model Context Protocol. Query 692+ frameworks, map controls, and run gap analyses programmatically.

Module 6: AI Governance and Security

PT3H

Implement guardrails, access controls, and audit logging for AI systems in regulated environments. Data privacy, model risk management, and responsible AI.

Module 7: Automated Regulatory Reporting

PT3H

Design AI-powered reporting pipelines that generate compliance reports, gap analyses, and board-ready summaries from framework data.

Module 8: Advanced Agent Techniques

PT4H

Multi-agent orchestration, tool use patterns, and autonomous compliance workflows. Building reliable agents that operate within defined boundaries.

Module 9: Case Study: ISO 27001 and SOC 2

PT3H

End-to-end implementation using ISO 27001:2022 and SOC 2 frameworks. Build agents that map controls, identify gaps, and generate remediation plans.

Module 10: Case Study: GDPR and NIST CSF

PT3H

Cross-framework compliance with GDPR and NIST Cybersecurity Framework. Automated data protection impact assessments and control mapping.

Module 11: Ethics and Responsible AI in Compliance

PT3H

Bias detection, explainability requirements, and ethical considerations when deploying AI in compliance and audit functions.

Module 12: Leadership and Transformation

PT4H

Building the business case for AI in compliance. Change management, ROI measurement, and scaling AI engineering across the organization.

Related Frameworks

Frequently Asked Questions

What will I learn in this course?
This professional-level course covers ai engineering for compliance agents. You will gain practical skills and knowledge applicable to real-world compliance scenarios, with a focus on actionable frameworks and best practices.
Who is this course designed for?
This course is designed for compliance professionals, GRC managers, and security practitioners looking to build expertise in ai engineering for compliance agents.
Do I receive certification after completing this course?
Yes. Upon successful completion, you receive a professional certification that demonstrates your competency. The Art of Service has trained 100,000+ professionals across 160+ countries over 25 years.
How much does this course cost?
This course is priced at $249 USD. It includes 40 hours of content. We also offer this course on our AU Store for customers who prefer pricing in Australian dollars.

Apply what you learn

Put your certification knowledge to work with our AI-powered compliance platform. Map frameworks, track controls, and identify gaps across 692 frameworks.

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