Professional Scrum Product Owner - AI Essentials Training Course
Artificial Intelligence is swiftly establishing itself as the cornerstone of contemporary product management, fundamentally altering how we uncover customer requirements, formulate solutions, and make strategic choices. Much like electricity transformed industrial processes, AI is reshaping the way products are developed, validated, and evolved.
This live, instructor-led training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches seeking to grasp how AI can augment product ownership capabilities and fortify decision-making processes.
Upon completion of this training, participants will be capable of:
- Grasping the core principles of Artificial Intelligence and distinguishing between conventional AI and Generative AI (GenAI).
- Implementing the seven key stances of a Product Owner (including the emerging Orchestrator stance) and utilizing AI to reinforce each role — such as Visionary, Experimenter, or Customer Representative.
- Mastering effective prompting techniques and viewing AI tools as intelligent collaborators with distinct expertise.
- Enhancing customer insight and developing AI-assisted personas for hypothesis testing and discovery, all while preserving genuine customer engagement.
- Formulating and articulating a distinct product vision using structured frameworks like the 3x3 Framework, employing AI to craft and visualize narratives.
- Leveraging Generative AI tools to expedite prototyping and hypothesis testing, for instance, by creating mock-ups or product concepts.
- Informing product decisions by utilizing AI tools to analyze, prioritize, and assess features based on value, feasibility, and user impact.
- Automating or delegating routine daily tasks (emails, stakeholder management, note-taking) via AI to dedicate more time to strategic and creative endeavors.
- Facilitating discussions on AI ethics, bias, and data security to ensure responsible and sustainable AI integration.
- Recognizing and designing high-value AI use cases customized to the specific product and organizational environment.
- Exploring and experimenting with approximately 20 different AI tools and models — ranging from productivity assistants and prototyping platforms to generative video, image, and coding solutions.
Course Format
- 10% lectures
- 30% workshops – examining various concepts and approaches
- 60% workshops – practical application with AI tools
Course Outline
INCLUDED IN THE TRAINING:
- Voucher for the PSPO-AI Essentials certification exam
- Eligibility for two exam attempts
- 7 PDU points for PMI members
- In case of an unsuccessful first attempt — a 1:1 coaching session with the trainer to address competency gaps
PROGRAM:
- Fundamentals of Artificial Intelligence and Generative AI (GenAI)
- The seven stances of a Product Owner – including the new Orchestrator stance
- Effective prompting – treating AI tools as intelligent collaborators
- AI-supported customer understanding and persona generation
- Creating and communicating a product vision with the 3x3 Framework
- Accelerating prototyping and hypothesis testing using Generative AI
- Product decision-making
- Automating daily Product Owner tasks with AI assistants
- Leading discussions on AI ethics, bias, and data security
- Identifying valuable AI use cases in your product and organization
Practical experience with approximately 20 AI tools utilized in real-world product management
This training serves as a practical introduction to applying Artificial Intelligence in Product Ownership and Product Management. It examines how AI can support decision-making, product discovery, validation, and delivery within modern organizations.
It assists participants in understanding how to utilize AI as a strategic partner — boosting creativity, enhancing efficiency, and amplifying the impact of the Product Owner role. The course integrates theoretical knowledge with hands-on experience using real AI tools and models.
Successfully completing the Professional Scrum Product Owner – AI Essentials (PSPO-AIE) training equips participants with the knowledge, skills, and certification voucher needed to obtain the PSPO-AIE credential from Scrum.org.
Requirements
Target Audience
- Product Owners
- Scrum Masters
- Agile Coaches
Open Training Courses require 5+ participants.
Professional Scrum Product Owner - AI Essentials Training Course - Booking
Professional Scrum Product Owner - AI Essentials Training Course - Enquiry
Professional Scrum Product Owner - AI Essentials - Consultancy Enquiry
Testimonials (1)
Trainer was very knowledgeable and easy to speak to
Gareth Gird - Teleflex Medical Europe Ltd
Course - Copilot for Finance and Accounting Professionals
Upcoming Courses
Related Courses
AI Agents for Financial Services and Fraud Detection
14 HoursThis instructor-led live training in Romania (offered online or on-site) targets intermediate-level financial professionals, risk analysts, and AI engineers interested in developing and deploying AI-driven solutions for financial automation and fraud detection. <\/p>
Upon completing this training, participants will be able to: <\/p>
- Grasp the role of AI in automating financial processes and detecting fraud. <\/li>
- Develop AI models specifically for identifying fraudulent transactions. <\/li>
- Utilize machine learning techniques for real-time risk evaluation. <\/li>
- Implement AI-powered financial monitoring systems. <\/li> <\/ul>
AI for Credit Risk, Scoring & Lending Optimization
14 HoursArtificial intelligence is reshaping the way financial institutions evaluate creditworthiness, price risk, and optimize lending decisions. <\/p>
This instructor-led live training, available online or onsite, targets intermediate-level finance professionals looking to leverage artificial intelligence to enhance credit scoring models, manage risk more effectively, and streamline lending operations. <\/p>
Upon completion of this training, participants will be able to: <\/p>
- Grasp the key AI methodologies employed in credit scoring and risk prediction. <\/li>
- Construct and assess credit scoring models using machine learning algorithms. <\/li>
- Interpret model outputs to ensure regulatory compliance and transparency. <\/li>
-
Apply AI techniques to refine underwriting, loan approval, and portfolio management processes.
<\/li>
<\/ul>
Format of the Course<\/strong> <\/p>
- Interactive lectures and discussions. <\/li>
- Extensive exercises and practical application. <\/li>
-
Hands-on implementation in a live-lab environment.
<\/li>
<\/ul>
Course Customization Options<\/strong> <\/p>
- To request a customized training for this course, please contact us to arrange. <\/li> <\/ul>
AI for Digital Products in Banking
40 HoursArtificial Intelligence empowers the creation of digital banking products featuring advanced, data-driven functionalities and highly personalized customer experiences.
This instructor-led live training, available online or on-site, complements asynchronous learning materials with in-person workshops. It is tailored for intermediate-level banking professionals seeking to effectively design, develop, and launch AI-enhanced digital products.
Upon completing this training, participants will be equipped to:
- Pinpoint customer requirements and articulate a clear product vision.
- Leverage AI technologies to upgrade digital banking offerings.
- Utilize agile methodologies and design thinking to develop user-centric solutions.
- Measure, iterate, and optimize product performance to ensure sustained value delivery.
Course Format
- 50% synchronous sessions (virtual or in-person).
- 25% asynchronous activities (videos, readings, discussion forums).
- 25% in-person practical workshops involving case studies.
Customization Options
- For tailored training arrangements, please contact us directly.
AI for Fraud Detection & Anti‑Money Laundering
14 HoursAI is revolutionizing the way financial institutions identify fraud and combat money laundering by utilizing intelligent, real-time analysis of large-scale transaction data.
This instructor-led live training (available online or on-site) is designed for intermediate-level professionals who want to apply machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.
Upon completion of this training, participants will be able to:
- Grasp key AI applications in fraud detection and AML monitoring.
- Design and implement models for anomaly detection and transaction scoring.
- Utilize graph-based AI for network risk detection.
- Ensure ethical, explainable, and regulatory-compliant model deployment.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical activities.
- Hands-on implementation in a live lab environment.
Customization Options
- To request customized training for this course, please contact us to arrange details.
AI in Financial Services: Strategy, Ethics & Regulation
7 HoursArtificial intelligence serves as a key strategic driver for minimizing risk, enhancing customer experiences, and improving operational efficiency within the financial sector.
This guided, live training session—available both online and on-site—is designed for executives in financial services, fintech managers, and compliance officers who have limited prior experience with artificial intelligence. The course aims to help them understand how to implement AI solutions responsibly and effectively within their organizations.
Upon completion of this training, participants will be equipped to:
- Comprehend the strategic benefits of integrating AI into financial services.
- Recognize and address ethical risks linked to AI models.
- Navigate the complex regulatory environment surrounding AI in finance.
- Develop frameworks for responsible AI governance and implementation.
Course Format
- Interactive lectures and group discussions.
- Analysis of case studies and collaborative exercises.
- Application of ethical frameworks to realistic financial scenarios.
Customization Options
- For customized training arrangements, please contact us.
AI in FinTech & Open Banking Innovation
14 HoursArtificial Intelligence is reshaping the FinTech sector by facilitating intelligent automation, hyper-personalized experiences, and secure, real-time financial services.
This instructor-led live training (available online or onsite) targets beginner to intermediate FinTech professionals eager to explore the synergy between AI, APIs, and Open Banking innovations to craft next-generation financial products.
Upon completion, participants will be capable of:
- Grasping the application of AI and machine learning across various FinTech use cases.
- Utilizing Open Banking APIs and data aggregation for innovative product development.
- Developing AI-driven features for digital wallets, neobanks, and financial assistants.
- Aligning innovation efforts with regulatory, ethical, and security requirements.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical sessions.
- Hands-on implementation within a live laboratory environment.
Customization Options
- To arrange customized training for this course, please contact us.
AI Governance and Strategic Risk Management in Financial Services
7 HoursArtificial Intelligence is revolutionizing how financial institutions approach risk management, strategic planning, regulatory compliance, and customer experience.
This instructor-led live training, available online or onsite, targets intermediate-level professionals in finance and technology who want to grasp the impact of AI on strategy, ethics, and regulation within the financial sector.
Upon completing this course, participants will be equipped to:
- Comprehend the strategic role of AI in financial services.
- Assess the ethical and regulatory consequences of adopting AI.
- Construct frameworks for responsible AI governance and oversight.
- Align AI initiatives with organizational objectives and compliance mandates.
Course Format
- Interactive lectures and discussions.
- Case studies and collaborative exercises.
- Practical examination of real-world AI regulatory frameworks.
Customization Options
- To arrange tailored training for this course, please get in touch with us.
AI for Trading and Asset Management
21 HoursArtificial Intelligence comprises a potent suite of methodologies designed to construct intelligent trading systems capable of analyzing market data, generating forecasts, and executing strategies autonomously.
This instructor-led, live training (available online or onsite) is tailored for intermediate-level finance professionals seeking to integrate AI techniques into trading and asset management, with a focus on signal generation, portfolio optimization, and algorithmic strategies.
Upon completion of this training, participants will be able to:
- Grasp the role of AI in contemporary financial markets.
- Utilize Python to develop and backtest algorithmic trading strategies.
- Apply supervised and unsupervised learning models to financial data.
- Optimize portfolios using AI-driven techniques.
Course Format
- Interactive lectures and discussions.
- Ample exercises and practical practice.
- Hands-on implementation in a live-lab environment.
Customization Options
- To request customized training for this course, please contact us to arrange.
AI and WealthTech: Intelligent Advisory & Personalization
14 HoursAI is reshaping the WealthTech sector by delivering highly tailored financial services, smart advisory platforms, and improved user experiences.
This instructor-led, live training (available online or onsite) targets intermediate-level finance and technology professionals seeking to design, assess, or deploy AI-driven solutions for personalized wealth management and robo-advisory services.
Upon completion of this training, participants will be able to:
- Grasp how AI is utilized in wealth management and digital advisory platforms.
- Construct intelligent systems for personalized portfolio recommendations.
- Integrate behavioral finance data and client preferences into advisory algorithms.
- Assess ethical and regulatory issues in automated investment advice.
Format of the Course
- Interactive lecture and discussion.
- Numerous exercises and practice opportunities.
- Practical implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Applied AI for Financial Statement Analysis & Reporting
14 HoursApplied AI introduces new levels of efficiency and intelligence to the way finance professionals analyze and report on business performance.
This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to integrate AI tools into their financial statement workflows to enhance accuracy, automate repetitive tasks, and gain forward-looking insights.
By the end of this training, participants will be able to:
- Automate data extraction from financial documents using AI tools.
- Apply machine learning models to analyze trends and anomalies in financial statements.
- Use generative AI to assist in variance commentary, narrative reports, and scenario simulation.
- Interpret AI-generated outputs responsibly in the context of finance reporting and planning.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Building Intelligent Applications with AI and ML
28 HoursThis guided, live training in Romania (online or onsite) is designed for AI specialists and software developers at intermediate to advanced levels who want to create smart applications using AI and ML.
Upon completion of this training, participants will be able to:
- Grasp advanced concepts and technologies underlying AI and ML.
- Analyze and visualize data to guide the development of AI/ML models.
- Effectively build, train, and deploy AI/ML models.
- Develop smart applications capable of solving real-world challenges.
- Assess the ethical implications of AI applications across various industries.
ChatGPT for Finance
14 HoursThis instructor-led, live training in Romania (online or onsite) is designed for finance professionals who want to use ChatGPT to streamline their workflows and enhance their data analysis and reporting capabilities.
By the end of this training, participants will be able to:
- Grasp the fundamentals of ChatGPT and how it functions.
- Utilize ChatGPT to automate financial tasks such as data entry and report generation.
- Analyze financial data with ChatGPT to gain insights and make informed decisions.
- Develop custom ChatGPT models tailored to specific financial use cases.
Copilot for Finance and Accounting Professionals
7 HoursCopilot for Microsoft 365 is an AI-powered assistant that integrates with Microsoft Office applications to help finance and accounting professionals enhance productivity, streamline reporting, and support decision-making.
This instructor-led, live training (online or onsite) is aimed at finance and accounting professionals with limited experience with AI who wish to leverage Microsoft Copilot to improve accuracy, efficiency, and insight in financial tasks.
By the end of this training, participants will be able to:
- Create financial reports quickly and accurately using Copilot.
- Automate repetitive accounting and data-entry tasks.
- Generate financial summaries and forecasts with AI assistance.
- Use natural language prompts to extract insights from large financial datasets.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Intelligent Applications Fundamentals
14 HoursThis instructor-led, live training in Romania (online or onsite) is aimed at beginner-level IT professionals who wish to gain a foundational understanding of intelligent applications and how they can be applied in various industries.
By the end of this training, participants will be able to:
- Understand the history, principles, and impact of artificial intelligence.
- Identify and apply different machine learning algorithms.
- Manage and analyze data effectively for AI applications.
- Recognize the practical applications and limitations of AI in different sectors.
- Discuss the ethical considerations and societal implications of AI technology.
Intelligent Applications Advanced
21 HoursThis instructor-led, live training in Romania (online or on-site) is designed for intermediate to advanced data scientists, engineers, and AI practitioners who aim to master the nuances of intelligent applications and apply them to solve complex, real-world problems.
By the end of this training, participants will be able to:
- Implement and analyze deep learning architectures.
- Apply machine learning at scale in a distributed computing environment.
- Design and execute reinforcement learning models for decision-making.
- Develop sophisticated NLP systems for language understanding.
- Utilize computer vision techniques for image and video analysis.
- Address ethical considerations in the development and deployment of AI systems.