Developing and Deploying AI with Compliance in Mind
As AI moves rapidly from experimentation to real-world deployment, many organisations struggle with the same challenge: how to ship AI faster while meeting legal, ethical, and security requirements.
This interactive seminar introduces Compliance by Design - a practical approach to embedding governance, security, and responsible AI practices directly into the AI development and deployment lifecycle. Instead of treating compliance as a final hurdle, you’ll learn how to integrate it step by step from use case definition to post-deployment monitoring - so innovation stays fast and risk stays controlled.
You’ll also learn why continuous monitoring matters after go-live and how to set up KPIs, thresholds, and feedback loops so AI systems keep performing as intended and remain compliant during real-world operation.
Content
In this course you will benefit from:
- A structured understanding of how AI systems move from experimentation to production
- The AI development & deployment lifecycle: defining AI use cases and success criteria
- Practical steps for successful development and deployment of AI systems
- Guidance on defining meaningful KPIs and monitoring approaches (e.g., drift, quality, risk signals)
- Practical insights into embedding compliance into the lifecycle without slowing innovation
- A clear overview of legal, ethical, and security considerations for AI systems
- Best practices for maintaining compliance and performance throughout the AI lifecycle
+ Access to Our Community with daily free learning assets
+ Materials from All Learning Modules and Additional Support Links
+ Certificate: AI Compliance Practitioner
+ Prompt Frameworks and Canvas
AI & Compliance Foundation
If you want to start with regulatory foundations (EU AI Act, privacy/data protection) and AI governance requirements, we recommend our “AI & Compliance” course.
Why Companies Choose This Course
Practice-Oriented
Applied,
Interactive
Frameworks, checklists, and real cases - plus hands-on exercises you can apply immediately from use case definition to go-live.
Compliance by Design
Audit-Ready & Secure
Learn how to embed governance, privacy, security, and responsible AI into the lifecycle from day one—without slowing innovation.
Operations & Monitoring
Robust After Go-Live
KPI and monitoring setups (e.g., drift, quality, risk signals) with clear ownership - so AI stays stable, effective, and compliant in real-world operation.
Our Trusted Customers and Partners
Target Audience
This course is suitable for people who:
- Develop, deploy, manage, or oversee AI systems and want a clear, practical approach to responsible AI
- Work in AI/Data teams, product, IT/security, risk, compliance, or business functions involved in AI rollouts
- Need to understand how fast innovation and responsible governance can work together
Prerequisites
Basic understanding of AI concepts and digital systems. No prior legal or compliance expertise required.
Any questions? Find more in our FAQs
Learning Goals
- Enable participants to understand how AI systems can be developed and deployed successfully and responsibly by embedding compliance directly into the AI lifecycle
- Gain the knowledge needed to support innovation while ensuring AI systems meet legal, ethical, security, and organisational requirements during development and operation.
Format
- Interactive seminar combining conceptual input and practical examples
- Case-based discussions grounded in real-world AI deployment scenarios
Certificate
After completing the course, you will receive a "Certificate: AI Compliance Practitioner".
Trainer
Laura Kiviharju
- Strategic Legal Advisor in AI, Data Protection & Cybersecurity
- MLaw, LL.M. Compliance
What does “Compliance by Design” mean for AI systems?
Compliance by Design means integrating legal, ethical, security, and organisational requirements from the start of an AI project - across use case definition, data, model development, testing, deployment, and monitoring - rather than treating compliance as a final audit step.
Who should attend this AI compliance and deployment course?
The course is designed for Product Owners, AI/Data teams, IT & Security, Risk & Compliance, and business leaders who are implementing or overseeing AI systems. It’s ideal for anyone responsible for moving AI from prototypes to production in a controlled and scalable way.
Do I need legal or compliance expertise to join?
No. The course is specifically built for non-legal audiences. We focus on practical principles, project-ready steps, and clear examples—so you can apply responsible AI practices without needing to be a compliance specialist.
How does the course relate to regulations like the EU AI Act and privacy requirements?
You will learn how common regulatory and governance expectations (e.g., risk classification, documentation, accountability, privacy-by-design principles, security controls, and ongoing oversight) can be translated into practical lifecycle steps - without turning the course into a legal lecture.
What KPIs and monitoring should be used after deploying AI?
Typical metrics include model quality (e.g., accuracy/error rates), drift indicators, bias/fairness signals, security or misuse alerts, latency/cost, and adoption/business impact. You’ll learn how to define thresholds, assign ownership, and set up continuous improvement loops after go-live.
Get in touch with us
We will be happy to answer your course enquiry as soon as possible.
