BEGIN:VCALENDAR VERSION:2.0 PRODID:-//BestBrains Academy - SAFe training and Agile workshops - ECPv6.15.11//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL:https://bestbrainsacademy.com X-WR-CALDESC:Events for BestBrains Academy - SAFe training and Agile workshops REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Copenhagen BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20260329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20261025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20270328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20271031T010000 END:STANDARD END:VTIMEZONE BEGIN:VTIMEZONE TZID:Atlantic/Azores BEGIN:DAYLIGHT TZOFFSETFROM:-0100 TZOFFSETTO:+0000 TZNAME:+00 DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:-0100 TZNAME:-01 DTSTART:20251026T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0100 TZOFFSETTO:+0000 TZNAME:+00 DTSTART:20260329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:-0100 TZNAME:-01 DTSTART:20261025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0100 TZOFFSETTO:+0000 TZNAME:+00 DTSTART:20270328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0000 TZOFFSETTO:-0100 TZNAME:-01 DTSTART:20271031T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Copenhagen:20260929T090000 DTEND;TZID=Europe/Copenhagen:20261001T150000 DTSTAMP:20260707T061304 CREATED:20260105T154211Z LAST-MODIFIED:20260706T131917Z UID:46437-1790672400-1790866800@bestbrainsacademy.com SUMMARY:AI-enabled Product Owner - Online DESCRIPTION:AI-enabled Product Owner - Online\n Two live online days - practical certification included\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Product Ownership in the AI era – with confidence\, judgment\, and practical AI skills. \nProduct Owners are not being replaced by AI. But their way of working is changing. \nThe fundamentals still matter: you need to understand users\, make value-based decisions\, shape a clear backlog\, and help the team focus on the right outcomes. What is changing is how fast you can explore input\, create options\, refine backlog items\, communicate with stakeholders\, and use data to decide. But being AI-enabled is not only about working faster – it is about making time for the Product Owner’s work that often gets skipped: exploring needs and value thoroughly\, testing assumptions and ideas earlier\, and analysing user feedback. \nIn this two-day interactive online course\, you practise Product Ownership as it is increasingly done – with AI woven into discovery\, backlog work\, refinement\, communication\, and decisions – while human judgment stays in the lead. One simple pattern runs through everything: \nAI-WORKFLOW for Product Owners:Bring product input → Give AI the right context → Get a draft or analysis → Review it as a Product Owner → Make a product decision → Create a team-ready output \nYou apply this to real work: summarising user feedback\, drafting a product brief\, creating or improving a user story\, writing acceptance criteria\, preparing a stakeholder update\, or finding patterns in support tickets and survey answers. \nScrum\, basic Kanban and Product Owner foundations are covered in guided pre-work before the course\, so newcomers arrive prepared and experienced participants get more live time for applied AI practice. You leave with reusable AI-enabled workflows\, a practical prompt and template toolkit\, and a certification case that shows that you can apply AI responsibly to Product Owner work. \nArrive prepared. Practise on real PO work. Leave AI-enabled. \n \n \n \n \n \n Who this is for:\nThis course is for people in and around the Product Owner role who want to use AI confidently and responsibly in real product work – Product Owners\, Business Analysts\, Project Managers\, Team Leads\, Team Coaches\, and product team members. \n\n\n\n\n\nNew to the role? The guided pre-work introduces the most important Scrum\, Kanban and Product Owner concepts before Day 1. You do not need to become an expert first – just to arrive ready for the applied exercises.\nAlready experienced? You run the exercises at a deeper level\, applying AI to your own product context to sharpen your current practices.\n  \nIt works best if you already work with products\, projects\, teams\, requirements\, business needs or stakeholder communication. You do not need AI expertise or coding skills. Basic experience with an AI assistant such as ChatGPT\, Gemini\, Claude or Copilot is helpful but not required. \nWhat you´ll learn \nBy the end of the course you will be able to: \n\nExplain the Product Owner role\, and relate it to Scrum and Kanban\nGive AI the right context and use prompt patterns for Product Owner tasks\nExplore user needs and value with AI\, using techniques such as personas\, customer journey mapping and opportunity canvas\nBreak down features and user stories\, and draft lightweight product briefs\, acceptance criteria and test cases with AI\nDesign an AI-enabled backlog refinement workflow for your own team\nUse AI for vision\, prioritisation and stakeholder communication\nUse AI to summarise product input\, find patterns in feedback and data\, and make better product decisions.\nUse AI responsibly in Product Owner work\, with awareness of the EU AI Act.\n\n \n\n\nWhat you´ll walk away with \n\n\n\n An AI-enabled Product Owner workflow – a simple\, repeatable way to move from product input to decision to team-ready output\, with AI supporting the work and the Product Owner staying responsible.\n A reusable toolkit – prompts\, templates and examples for common activities: exploration\, feedback synthesis\, product briefs\, backlog refinement\, user stories\, and stakeholder communication.\n A practical certification case – based on your own product context where possible\, started in the certification lab and completed within 30 days.\n\nYou can earn the AI-enabled Product Owner certification from BestBrains Academy – proof that you can apply AI to real Product Owner work\, based on both your knowledge about Product Ownership and an applied AI case you choose yourself. \nCourse structure\nThe live days focus on applied practice. Foundations and supporting tools are handled through pre-work and the toolkit\, so the course stays practical and focused. \nPre-work (self-paced\, ~3-4h) – guided foundation in Scrum\, basic Kanban and agile Product Ownership\, plus the multiple-choice knowledge exam that counts toward your certificate. Strongly recommended before Day 1. \nDay 1 – From user needs to backlog-ready work. Moving from messy product input to clearer Product Owner work: prompt patterns and context engineering\, exploring user needs and value\, summarising feedback and input\, and drafting product briefs\, user stories and acceptance criteria with AI – then reviewing that output before it becomes team work. Typical outputs: a discovery or feedback summary\, a product decision\, a backlog-ready item with acceptance criteria\, \nBetween the days (~30-60 min) You apply AI to one piece of your own product input (a feature idea\, customer quote\, support ticket\, interview notes\, survey answers\, usage data\, or a backlog item)\, turning it into a clearer decision\, backlog item or stakeholder message. The output is shared in a simple format so Day 2 starts from real examples. \nDay 2 – Refining\, communicating and decidingHow AI supports work with teams and stakeholders: designing an AI-enabled refinement workflow\, using AI around tools such as Jira or Azure DevOps while keeping the process human-led\, vision and prioritisation\, stakeholder communication\, and turning feedback and data into decisions. Includes responsible AI use\, the EU AI Act’s AI literacy requirement\, the changing PO role\, and certification prep.Typical outputs: a refinement workflow for your team\, a stakeholder update\, a data-to-decision example\, a certification case outline. \nCertification lab (online\, after the course\, 1.5h)A 30-minute Scrum and Kanban recap\, a walkthrough of the exam case requirements and rubric with example submissions\, and time to start your own case and ask questions. \nCertification – AI-enabled Product Owner\nCertification issued by BestBrains Academy is included and central to the course. It combines two parts. \n\n Knowledge exam – a multiple-choice exam covering agile Product Ownership fundamentals: Scrum basics\, basic Kanban\, Product Owner accountability\, backlog work\, planning and refinement\, and value focus. Preferably completed as part of the pre-work.\n Applied AI-enabled case – you apply AI to real Product Owner work across the product cycle and document the product context\, the input you started from\, the prompts and context you gave AI\, the output you received\, how you reviewed and improved it\, the decision you made\, where AI helped\, where your own judgment changed or rejected the AI output\, and how you handled responsible AI and data safety.\n\nThe case is assessed against a clear rubric. The review is structured and supportive – you are not asked to present or defend your case live in front of the group. It includes peer review with instructor moderation\, an 80% passing score\, a 30-day submission deadline\, and a resubmission option if needed. You start it with guidance in the certification lab\, so you are never left to complete it alone. \nYour time commitment\n\nPre-work: ~3-4 hours\, self-paced (foundation material\, knowledge exam)\nLive course: 2 days\, 09:00-15:00\nBetween-day task: ~30-60 minutes on your own product or a fallback case\nCertification lab: 1.5 hours (30-min recap plus case launch)\nCertification case: ~3-4 hours\, completed within 30 days\n\nLogistics\n\nCourse Dates: Tuesday September 29th and Thursday October 1st 2026\, 09:00-15:00 (Wednesday September 30th is used for own-context work)\nCertification lab: Monday October 5th 2026\, 14:30-16:00\nFormat: Online\nPrice: kr. 7\,000.00 (indicative; VAT additional; EU delegates may recover VAT depending on circumstances)\nLanguage: English (if any participants prefer this) or Danish. Course and Certification material is in English.\n\n\n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL INFO\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Tickets \n \n \n \n \n \n \n The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities. \n\n\n\n \n Tickets are no longer available\n\n\n \n \n \n\n \n \n\n \n \n\n \n\n\n\n\n\n \n\n \n\nIf 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.\n\n \n \n \n \n \n \n Cancellation Policy\n \nIf 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.\nIf you cancel within 30 days before the workshop\, we can't provide a refund. However\, you may find a substitute.\nNo 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.\nRegistrants who are no shows\, are not eligible for a refund and must pay the full course fee.\nBestBrains 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.\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Jesper Thaning has been helping organizations adopting Lean and Agile methods for the last 20 years. \nThe 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. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Jesper Thaning Agile trainer and advisor\, SAFe Program Consultant (SPC)\, Partner in BestBrains Academy URL:https://bestbrainsacademy.com/course/ai-product-owner/ LOCATION:Online Training\, More info about course will be provided after sign-up CATEGORIES:AI-PO,Copenhagen ATTACH;FMTTYPE=image/png:https://bestbrainsacademy.com/wp-content/uploads/2023/09/White-Photo-Simple-Traveling-Facebook-Ads.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Atlantic/Azores:20261007T090000 DTEND;TZID=Atlantic/Azores:20261008T150000 DTSTAMP:20260707T061305 CREATED:20260413T141806Z LAST-MODIFIED:20260511T030224Z UID:46581-1791363600-1791471600@bestbrainsacademy.com SUMMARY:AI Practitioner - Online (Oct 7-8\, 2026) DESCRIPTION:AI Practitioner - (Self-paced prompting course included) - Online\n Using AI in business processes with collaboration\, confidence and compliance \n \n Sign up for the course\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Summary\n 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. \nOver 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. \nThrough 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. \nThe 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. \nUpon 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. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \nThank you for the training!\n\n\nI enjoyed the two days of learning\, as well as the certification assignment.\n\nI am already applying some of the learnings in my work and will continue exploring AI.\n\n Di Xu\n Nexigroup \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n\nThank you for a valuable course. Both Jesper and Heidi did an amazing job as presenters\, \n\n\n\n\n\n\n\n\n\n\nand I learned a lot over the two days and through the assignment.\n\n\n\n\n\n\n\n\n\n\nI’ve already started implementing the workflow in my team\n\n\n\n\n\n\n\n Mason Friis-Burden\n Saxo Bank \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Learning objectives\nBy the end of this course\, participants will be able to: \n\nIntegrate AI tools into business and team processes to improve collaboration and performance\nAnalyse and redesign workflows to include safe and effective AI-enabled steps\nRecognise AI system limitations and spot bias\, errors\, or anomalies in outputs\nApply human-in-the-loop practices to keep oversight and decision control in human hands\nUse prompting and interaction techniques that support multiple professional roles\nWork with AI responsibly\, following ethical principles and the key requirements of the EU AI Act\nDocument responsible AI use to strengthen transparency and accountability in their organisation\n\n \n \n \n \n \n Prerequisites\nParticipants 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. \nThe course includes a self-paced prompting course that covers both beginner and advanced techniques to ensure all participants start at the same level. \n \n \n \n \n \n \n \n \n \n \n \n Topic covered\nBy the end of this course\, participants will be able to: \n\nAdvanced Prompting – multi-step prompting\, prompt chaining\, and context control\nDesigning AI Assistants – creating AI support for specific roles and tasks\nHuman–AI Orchestration – balancing automation with human oversight\nRole-Based Collaboration – integrating AI across teams and workflows\nKnowledge and Context Management – documenting prompts\, context and decisions for compliance\nEthics and Responsible Use – handling bias\, hallucinations\, and risk in line with the AI Act\nHands-On Practice – optimising workflow step with AI\n\n \n \n \n \n \n Who should attend\nThis course is for professionals across business and development functions who want to use AI effectively\, collaboratively\, and responsibly. \n\nRisk\, Compliance\, and Strategists using AI to improve decision-making and meet regulatory requirements\nProduct Owners\, Team Coaches\, and Team Members enabling effective human–AI collaboration within teams\nFinance\, Operations\, and Support Professionals applying AI in daily processes with transparency and accountability\nHR\, Sales\, and Marketing applying AI in their daily work\n\nParticularly relevant for business-critical sectors such as finance\, insurance\, healthcare\, and pharmaceuticals\, where compliance and transparency are key. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Course Outline\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Day 1: Designing Responsible AI Collaboration\nLearn how to build safe and effective human–AI teamwork. \n\nPrinciples of Human-in-the-Loop AI and responsible collaboration\nDesigning AI assistants for specific roles and workflows\nApplying multi-role orchestration across business functions\nCase-based exercises integrating AI into real work processes\n\n \n \n \n \n \n \n \n \n \n \n \n Day 2: Applying AI in Practice and Certification Preparation\nTurn principles into practice through case-based learning. \n\nWorking with real-world team cases to improve workflows with AI\nIdentifying and managing bias\, risks\, and documentation requirements\nPracticing ethical and compliant AI interaction in daily work\nPreparing for the case-based certification project\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Certification: AI Practitioner\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Earn your certification by completing a practical case\, demonstrating your ability to apply AI responsibly\, transparently\, and in line with compliance standards. \nThe exam validates the ability to: \n\nDesign and evaluate AI-enhanced workflows in a team or business context\nApply orchestration models that integrate AI responsibly across roles\nDemonstrate context-aware and ethical AI usage aligned with compliance principles\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Exam Format\nYou’ll create and document a case based on two workflow steps from your own professional setting.  \nThe case must address key dimensions of AI optimisation\, including prompt lifecycle\, ethics\, context\, transparency\, and compliance. \nAssessment 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. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n PRACTICAL INFO\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Tickets \n \n \n \n \n \n \n The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities. \n\n\n\n \n Tickets are no longer available\n\n\n \n \n \n\n \n \n\n \n \n\n \n\n\n\n\n\n \n\n \n\nIf 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.\n\n \n \n \n \n \n \n Cancellation Policy\n \nIf 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.\nIf you cancel within 30 days before the workshop\, we can't provide a refund. However\, you may find a substitute.\nNo 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.\nRegistrants who are no shows\, are not eligible for a refund and must pay the full course fee.\nBestBrains 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.\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Instructor\nJesper Thaning has been helping organizations adopting Lean and Agile methods for the last 20 years. \nThe 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. \n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Jesper Thaning Agile trainer and advisor\, SAFe Program Consultant (SPC)\, Partner in BestBrains Academy \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Instructor\nHeidi Kristensen blends technical expertise and leadership to scale agile practices while maintaining core values and driving business agility \nHeidi 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. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Heidi Hedegaard Kristensen\nBusiness Agility Coach and SAFe® Program Consultant (SPC) URL:https://bestbrainsacademy.com/course/ai-practitioner-online-oct/ LOCATION:Online Training\, More info about course will be provided after sign-up CATEGORIES:AI-enabled,AI-P,online,practitioner ATTACH;FMTTYPE=image/png:https://bestbrainsacademy.com/wp-content/uploads/2025/06/Billeder-Website-kurser-events-25.png END:VEVENT END:VCALENDAR