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Summary
AI is reshaping the way teams and organisations work – but using it responsibly requires awareness, oversight, and shared understanding. This course empowers professionals across business functions to work effectively and ethically with AI systems.
Over two interactive and practice-oriented online days, you’ll learn how to integrate AI into your daily workflows and decision-making, specific to your work domain.
Through hands-on, role-relevant exercises, you’ll explore how humans and AI can work safely together: recognising system limitations, detecting bias or anomalies, and applying human oversight in accordance with regulatory standards.
The course combines teamwork-focused activities for transparency, risk mitigation, and ethical AI application in real business contexts. You’ll also develop a clear understanding of how the AI Act defines roles and responsibilities – from producer to deployer – and how to document responsible AI use to support audits and compliance processes.
Upon completion, participants will receive a Certification in AI Practitioner, which can serve as documentation that they have completed formal training aligned with AI Act compliance standards for human-AI interaction, governance, and accountability.
Learning objectives
By the end of this course, participants will be able to:
- Integrate AI tools into business and team processes to improve collaboration and performance
- Analyse and redesign workflows to include safe and effective AI-enabled steps
- Recognise AI system limitations and spot bias, errors, or anomalies in outputs
- Apply human-in-the-loop practices to keep oversight and decision control in human hands
- Use prompting and interaction techniques that support multiple professional roles
- Work with AI responsibly, following ethical principles and the key requirements of the EU AI Act
- Document responsible AI use to strengthen transparency and accountability in their organisation
Prerequisites
Participants should have some prior experience with generative AI — for example, through basic prompting or using tools like ChatGPT, Gemini, Claude, or an internal company assistant like Copilot.
The course includes a self-paced prompting course that covers both beginner and advanced techniques to ensure all participants start at the same level.
Topic covered
By the end of this course, participants will be able to:
- Advanced Prompting – multi-step prompting, prompt chaining, and context control
- Designing AI Assistants – creating AI support for specific roles and tasks
- Human–AI Orchestration – balancing automation with human oversight
- Role-Based Collaboration – integrating AI across teams and workflows
- Knowledge and Context Management – documenting prompts, context and decisions for compliance
- Ethics and Responsible Use – handling bias, hallucinations, and risk in line with the AI Act
- Hands-On Practice – optimising workflow step with AI
Who should attend
This course is for professionals across business and development functions who want to use AI effectively, collaboratively, and responsibly.
- Risk, Compliance, and Strategists using AI to improve decision-making and meet regulatory requirements
- Product Owners, Team Coaches, and Team Members enabling effective human–AI collaboration within teams
- Finance, Operations, and Support Professionals applying AI in daily processes with transparency and accountability
- HR, Sales, and Marketing applying AI in their daily work
Particularly relevant for business-critical sectors such as finance, insurance, healthcare, and pharmaceuticals, where compliance and transparency are key.
Course Outline
Day 1: Designing Responsible AI Collaboration
Learn how to build safe and effective human–AI teamwork.
- Principles of Human-in-the-Loop AI and responsible collaboration
- Designing AI assistants for specific roles and workflows
- Applying multi-role orchestration across business functions
- Case-based exercises integrating AI into real work processes
Day 2: Applying AI in Practice and Certification Preparation
Turn principles into practice through case-based learning.
- Working with real-world team cases to improve workflows with AI
- Identifying and managing bias, risks, and documentation requirements
- Practicing ethical and compliant AI interaction in daily work
Preparing for the case-based certification project
Certification: AI Practitioner
The exam validates the ability to:
- Design and evaluate AI-enhanced workflows in a team or business context
- Apply orchestration models that integrate AI responsibly across roles
- Demonstrate context-aware and ethical AI usage aligned with compliance principles
Exam Format
You’ll create and document a case based on two workflow steps from your own professional setting.
The case must address key dimensions of AI optimisation, including prompt lifecycle, ethics, context, transparency, and compliance.
Assessment is peer-reviewed by BestBrains Academy facilitators, with personalised feedback provided.
A passing score of 80% is required, and participants have 30 days after course completion to submit their work.
PRACTICAL INFO
- Date: Monday, January 12, 2026 - Tuesday, January 13, 2026 2026
- Time: 09:00 - 15:00
- If you register for a class be aware that VAT will be added to the price above. EU delegates may recover the VAT depending on their circumstances.
Cancellation Policy
- If you need to cancel more than 30 days before the course, feel free to find someone to take your place. If you can't find a substitute within this time frame, we’ll refund all but 1500 DKK to cover our administrative costs.
- If you cancel within 30 days before the workshop, we can't provide a refund. However, you may find a substitute.
- No matter when you need to cancel, if you find a substitute, please let us know ASAP who that person is. It's up to you to take care of payment arrangements with that person.
- Registrants who are no shows, are not eligible for a refund and must pay the full course fee.
- BestBrains reserves the right to cancel courses 7 business days prior to the scheduled date; in this case, our liability is limited to a full refund of the session fee.
Instructor
Jesper Thaning has been helping organizations adopting Lean and Agile methods for the last 20 years.
The experience covers the whole journey from idea to running code through conceptualization, prioritization, refinement, development, test, continuous integration and deployment. Jesper has trained and coached a large number of teams and organizations on how to apply Lean and Agile principles and methodologies like Scrum, Kanban and SAFe® to their specific situation. He has focused a lot on the collaboration between business and IT-development – helping organizations to benefit from Lean and Agile methods through effective product ownership.
Generative AI is the next big thing that is going to transform how we work and as an experienced AI practitioner Jesper now applies AI in many different contexts and guides on effectively using AI within teams.
Jesper Thaning
Agile trainer and advisor, SAFe Program Consultant (SPC), Partner in BestBrains Academy
Instructor
Heidi Kristensen blends technical expertise and leadership to scale agile practices while maintaining core values and driving business agility
Heidi was one of the first to introduce scrum in the banking industry almost two decades ago. Followed by acknowledging the need for scaling agile and doing so without compromising the agile values.
With a technical background combined with a vast amount of leadership experience in Large Enterprises, Heidi has an eye for what it takes to achieve business agility. How to implement the changes required to help Businesses succeed and People to thrive.
Heidi Hedegaard Kristensen
Business Agility Coach and SAFe® Program Consultant (SPC)