Professional Scrum Product Owner - AI Essentials Training Course
Artificial Intelligence is rapidly establishing itself as the cornerstone of modern product management—fundamentally transforming how we identify customer needs, define solutions, and make strategic decisions. Much like electricity revolutionized industry, AI is reshaping the lifecycle of products, from their construction and validation to their ongoing evolution.
This instructor-led, live training session (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who seek to understand how AI can enhance product ownership capabilities and strengthen decision-making processes.
Upon completion of this training, participants will be equipped to:
- Grasp the core principles of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
- Apply the seven key stances of a Product Owner (including the newly introduced Orchestrator stance) and leverage AI to amplify each role—such as Visionary, Experimenter, or Customer Representative.
- Master the art of effective prompting, treating AI tools as intelligent collaborators with specialized expertise.
- Deepen customer insights and utilize AI to create personas for hypothesis testing and discovery, while preserving authentic human interaction.
- Develop and articulate a clear product vision using structured frameworks like the 3x3 Framework, employing AI to craft and visualize compelling narratives.
- Utilize Generative AI tools to speed up prototyping and hypothesis testing, including the creation of mock-ups and product concepts.
- Enhance product decisions by using AI to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
- Automate or delegate routine daily tasks (such as emails, stakeholder management, and note-taking) using AI, allowing greater focus on strategic and creative work.
- Facilitate critical discussions regarding AI ethics, bias, and data security to ensure responsible and sustainable AI adoption.
- Identify and design high-value AI use cases tailored to specific products and organizational contexts.
- Explore and experiment 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 – exploring various concepts and approaches
- 60% workshops – hands-on practice with AI tools
Course Outline
INCLUDED IN THE TRAINING:
- Voucher for the PSPO-AI Essentials certification exam
- Opportunity for two exam attempts
- 7 PDU points for PMI members
- In the event of an unsuccessful first attempt – a 1:1 coaching session with the trainer to review 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
Hands-on experience with around 20 AI tools used in real-world product management
This training serves as a practical introduction to applying Artificial Intelligence in Product Ownership and Product Management. It explores how AI can support decision-making, product discovery, validation, and delivery in modern organizations.
It empowers participants to leverage AI as a strategic partner—enhancing creativity, improving efficiency, and amplifying the impact of the Product Owner role. The training combines theoretical knowledge with hands-on experience using real AI tools and models.
Successfully completing the Professional Scrum Product Owner – AI Essentials (PSPO-AIE) training provides participants with the knowledge, skills, and certification voucher to earn 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 Argentina (online or onsite) is aimed at intermediate-level financial professionals, risk analysts, and AI engineers who wish to develop and deploy AI-driven solutions for financial automation and fraud detection.
By the end of this training, participants will be able to:
- Understand the role of AI in financial automation and fraud detection.
- Build AI models for detecting fraudulent transactions.
- Leverage machine learning for real-time risk assessment.
- Deploy AI-powered financial monitoring systems.
AI for Credit Risk, Scoring & Lending Optimization
14 HoursArtificial intelligence is revolutionizing the way financial institutions evaluate creditworthiness, price risk, and optimize lending strategies.
This instructor-led live training, available either online or on-site, is designed for intermediate finance professionals eager to harness artificial intelligence to strengthen credit scoring models, manage risk more effectively, and enhance lending operations.
Upon completing this training, participants will be equipped to:
- Grasp the core AI methodologies applied in credit scoring and risk prediction.
- Construct and assess credit scoring models utilizing machine learning algorithms.
- Interpret model outputs to ensure regulatory compliance and transparency.
- Implement AI techniques to streamline underwriting, loan approvals, and portfolio management.
Course Format
- Engaging lectures and interactive discussions.
- Extensive exercises and practical application.
- Hands-on implementation within a live-lab environment.
Customization Options
- For tailored training needs, please contact us to arrange a customized session.
AI for Digital Products in Banking
40 HoursArtificial Intelligence serves as a pivotal technology that facilitates the creation of digital products featuring advanced, data-driven capabilities and highly personalized customer experiences.
This instructor-led, live training, available either online or on-site, integrates asynchronous learning activities with in-person workshops. It is specifically designed for intermediate-level banking professionals seeking to effectively design, develop, and deliver AI-powered digital products.
Upon completing this training, participants will be able to:
- Recognize customer needs and articulate a clear product vision.
- Leverage AI technologies to enhance digital banking offerings.
- Utilize agile methodologies and design thinking to develop user-centric solutions.
- Measure, iterate upon, and optimize product performance to ensure sustained value.
Course Format
- 50% synchronous sessions (virtual or in-person).
- 25% asynchronous activities (videos, readings, forums).
- 25% in-person practical workshops featuring case studies.
Customization Options
- For organizations wishing to request a customized version of this course, please contact us to arrange the details.
AI for Fraud Detection & Anti‑Money Laundering
14 HoursArtificial Intelligence is revolutionizing the way financial institutions identify fraud and combat money laundering by utilizing intelligent, real-time analysis of massive transaction datasets.
This instructor-led live training, available either online or onsite, targets intermediate-level professionals seeking to apply machine learning and AI tools to automate and improve financial crime detection, compliance monitoring, and operational governance.
Upon completing this training, participants will be equipped to:
- Grasp AI use cases in fraud detection and AML monitoring.
- Design and deploy models for anomaly detection and transaction scoring.
- Utilize graph-based AI for network risk detection.
- Ensure ethical, explainable, and regulatory-compliant model deployment.
Format of the Course
- Interactive lecture and discussion.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request customized training for this course, please reach out to us to arrange.
AI in Financial Services: Strategy, Ethics & Regulation
7 HoursArtificial Intelligence serves as a strategic catalyst for reducing risk, enhancing customer experience, and improving operational efficiency within financial services.
This instructor-led live training, available online or onsite, is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence but wish to learn how to responsibly and effectively implement AI solutions within their institutions.
Upon completion of this training, participants will be capable of:
- Grasping the strategic importance of AI in the financial sector.
- Identifying and mitigating ethical risks linked to AI models.
- Navigating the regulatory framework governing AI in finance.
- Designing robust frameworks for responsible AI governance and implementation.
Course Format
- Interactive lectures and discussions.
- Case study analysis and group exercises.
- Application of ethical frameworks to realistic financial scenarios.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
AI in FinTech & Open Banking Innovation
14 HoursArtificial Intelligence is revolutionizing the FinTech sector by facilitating intelligent automation, hyper-personalized experiences, and secure, real-time financial services.
This instructor-led training, available both online and on-site, targets beginner to intermediate-level FinTech professionals seeking to explore the intersection of AI, APIs, and Open Banking to create next-generation financial solutions.
Upon completion of this course, participants will be able to:
- Comprehend the application of AI and machine learning across various FinTech scenarios.
- Utilize Open Banking APIs and data aggregation techniques to drive product innovation.
- Develop AI-powered features for digital wallets, neobanks, and financial advisory tools.
- Ensure alignment with regulatory requirements, ethical standards, and security protocols.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical activities.
- Hands-on implementation within a live lab environment.
Customization Options
- For information regarding customized training for this course, please contact us to arrange.
AI Governance and Strategic Risk Management in Financial Services
7 HoursAI in Financial Services is transforming the way institutions manage risk, strategy, compliance, and customer experience.
This instructor-led, live training (online or onsite) is aimed at intermediate-level financial and technology professionals who wish to understand how AI impacts strategy, ethics, and regulation in the financial sector.
By the end of this training, participants will be able to:
- Understand the strategic applications of AI in financial services.
- Evaluate the ethical and regulatory implications of AI adoption.
- Develop frameworks for responsible AI governance and oversight.
- Align AI strategies with organizational goals and compliance requirements.
Format of the Course
- Interactive lecture and discussion.
- Case studies and group exercises.
- Practical analysis of real-world AI regulatory frameworks.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
AI for Trading and Asset Management
21 HoursArtificial Intelligence offers a robust suite of methodologies for creating intelligent trading systems that autonomously analyze market data, generate predictions, and execute strategic decisions.
This instructor-led live training, available either online or onsite, is designed for finance professionals at an intermediate level who aim to integrate AI techniques into trading and asset management. The curriculum emphasizes signal generation, portfolio optimization, and the development of algorithmic strategies.
Upon completion of this program, participants will be equipped to:
- Grasp the pivotal role of AI within contemporary financial markets.
- Utilize Python to construct and backtest algorithmic trading strategies.
- Implement both supervised and unsupervised learning models on financial datasets.
- Employ AI-driven methodologies to optimize investment portfolios.
Course Delivery Format
- Engaging lectures complemented by interactive discussions.
- Extensive practical exercises and hands-on practice.
- Direct implementation experiences within a live laboratory environment.
Customization Opportunities
- For inquiries regarding customized training modules for this course, please reach out to us to facilitate arrangements.
AI and WealthTech: Intelligent Advisory & Personalization
14 HoursAI is revolutionizing the WealthTech sector by facilitating highly tailored financial services, smart advisory platforms, and superior user experiences.
This instructor-led live training (available online or onsite) targets finance and technology professionals with intermediate proficiency who aim to design, assess, or deploy AI-driven solutions for personalized wealth management and robo-advisory services.
Upon completion of this training, participants will be capable of:
- Grasping the application of AI within wealth management and digital advisory platforms.
- Developing intelligent systems for personalized portfolio recommendations.
- Integrating behavioral finance data and client preferences into advisory algorithms.
- Assessing ethical and regulatory issues associated with automated investment advice.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Customization Options
- To request a customized version of this course, please contact us to arrange.
Applied AI for Financial Statement Analysis & Reporting
14 HoursApplied AI brings unprecedented levels of efficiency and intelligence to the way finance professionals analyze and report on business performance.
This instructor-led, live training (available online or onsite) is designed for 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 instructor-led, live training in Argentina (online or onsite) is tailored for AI professionals and software developers at intermediate to advanced levels who intend to build smart applications using AI and ML.
Upon completing this training, participants will be able to:
- Understand the advanced concepts and technologies behind AI and ML.
- Analyze and visualize data to inform AI/ML model development.
- Build, train, and deploy AI/ML models effectively.
- Create intelligent applications that can solve real-world problems.
- Evaluate the ethical implications of AI applications in various industries.
ChatGPT for Finance
14 HoursThis instructor-led, live training in Argentina (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 its operational principles.
- Leverage ChatGPT to automate financial tasks such as data entry and report generation.
- Analyze financial data using ChatGPT to derive insights and support informed decision-making.
- Develop custom ChatGPT models tailored to specific financial applications.
Copilot for Finance and Accounting Professionals
7 HoursCopilot for Microsoft 365 serves as an AI-driven assistant that seamlessly integrates with Microsoft Office applications, empowering finance and accounting professionals to boost productivity, streamline reporting processes, and support informed decision-making.
This instructor-led, live training session (available online or onsite) is specifically designed for finance and accounting professionals who have limited AI experience but wish to harness Microsoft Copilot to enhance accuracy, efficiency, and insights in their financial tasks.
By the conclusion of this training, participants will be equipped to:
- Quickly and accurately generate financial reports using Copilot.
- Automate repetitive accounting and data-entry tasks.
- Produce financial summaries and forecasts with AI assistance.
- Utilize natural language prompts to extract valuable insights from extensive financial datasets.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical application.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to arrange it.
Intelligent Applications Fundamentals
14 HoursThis instructor-led, live training in Argentina (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 Argentina (online or onsite) is designed for intermediate to advanced data scientists, engineers, and AI practitioners who wish to master the intricacies of intelligent applications and leverage 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.