Professional Scrum Product Owner - AI Essentials Training Course
Artificial Intelligence is swiftly emerging as the core of contemporary product management—reshaping how we identify customer needs, define solutions, and make critical decisions. Just as electricity transformed industry, AI is fundamentally altering how 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 understand how AI can elevate product ownership and enhance decision-making capabilities.
Upon completion of this training, participants will be equipped to:
- Grasp the fundamentals 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 reinforce each role—such as Visionary, Experimenter, or Customer Representative.
- Master effective prompting techniques and view AI tools as intelligent collaborators with specialized expertise.
- Deepen customer insights and create AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer interactions.
- Formulate and articulate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to craft and visualize narratives.
- Utilize Generative AI tools to speed up prototyping and hypothesis testing, such as generating mock-ups or product concepts.
- Inform product decisions by employing AI to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
- Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) via AI, freeing up time for strategic and creative work.
- Facilitate discussions on 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
- If the first attempt is unsuccessful – 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 helps participants understand how to leverage AI as a strategic partner – enhancing creativity, improving efficiency, and amplifying the impact of the Product Owner role. The training combines theory 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
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 Slovakia (available online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers looking to develop and deploy AI-driven solutions for financial automation and fraud detection.
Upon completing this training, participants will be able to:
- Grasp the significance of AI in automating financial processes and detecting fraud.
- Develop AI models capable of identifying fraudulent transactions.
- Apply machine learning techniques for real-time risk evaluation.
- Implement AI-powered financial monitoring systems.
AI for Credit Risk, Scoring & Lending Optimization
14 HoursArtificial Intelligence is revolutionizing how financial institutions evaluate creditworthiness, price risk, and optimize lending decisions.
This instructor-led live training, available both online and onsite, targets intermediate-level finance professionals eager to leverage AI to enhance credit scoring models, manage risk more effectively, and improve lending operations.
Upon completion of this training, participants will be able to:
- Grasp key AI methodologies employed 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.
- Apply AI techniques to enhance underwriting, loan approval, and portfolio management processes.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to arrange.
AI for Digital Products in Banking
40 HoursArtificial Intelligence empowers the creation of digital products that leverage advanced, data-driven capabilities and deliver personalized customer experiences.
This instructor-led live training, available online or onsite and supplemented by asynchronous activities and in-person workshops, is designed for intermediate-level banking professionals seeking to effectively design, develop, and launch AI-enhanced digital products.
Upon completion of this training, participants will be able to:
- Identify customer needs and articulate a clear product vision.
- Leverage AI technologies to improve digital banking products.
- Utilize agile and design thinking methodologies to develop user-centric solutions.
- Measure, iterate, 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 workshop featuring case studies.
Customization Options
- To request a customized version of this course, please contact us to arrange details.
AI for Fraud Detection & Anti‑Money Laundering
14 HoursFinancial institutions are leveraging artificial intelligence to revolutionize the detection of fraud and the combat against money laundering by employing intelligent, real-time analysis of massive transaction datasets.
This instructor-led, live training session (available online or on-site) is designed for intermediate-level professionals seeking to utilize machine learning and AI technologies to automate and improve financial crime detection, compliance monitoring, and operational governance.
Upon completion of this training, participants will be equipped to:
- Comprehend various use cases of AI in fraud detection and AML monitoring.
- Design and deploy models for anomaly detection and transaction scoring.
- Utilize graph-based AI to identify network-related risks.
- Guarantee that model deployment is ethical, explainable, and compliant with regulations.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Customization Options
- To arrange a customized training session for this course, please reach out to us.
AI in Financial Services: Strategy, Ethics & Regulation
7 HoursArtificial Intelligence serves as a strategic driver for reducing risk, enhancing customer experience, and improving operational efficiency within the financial sector.
This instructor-led live training, available either online or onsite, is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence. The course aims to help participants understand how to implement AI solutions responsibly and effectively within their institutions.
Upon completion of this training, participants will be able to:
- Appreciate the strategic value of AI in financial services.
- Identify and mitigate ethical risks linked to AI models.
- Navigate the regulatory landscape surrounding AI in finance.
- Design frameworks for responsible AI governance and implementation.
Format of the Course
- 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 enabling intelligent automation, hyper-personalization, and secure real-time financial services.
This instructor-led live training, available online or onsite, is designed for beginner to intermediate-level FinTech professionals who want to explore the convergence of AI, APIs, and Open Banking innovations to create next-generation financial products.
Upon completing this training, participants will be able to:
- Gain insights into how AI and machine learning are applied across various FinTech use cases.
- Utilize Open Banking APIs and data aggregation to drive product innovation.
- Design AI-powered features for digital wallets, neobanks, and financial assistants.
- Ensure innovation aligns with regulatory, ethical, and security standards.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical sessions.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to arrange details.
AI Governance and Strategic Risk Management in Financial Services
7 HoursArtificial Intelligence is reshaping how financial institutions approach risk management, strategic planning, regulatory compliance, and the enhancement of customer experiences.
This instructor-led live training, available both online and on-site, is designed for intermediate-level professionals in finance and technology who wish to gain a comprehensive understanding of how AI influences strategy, ethical standards, and regulatory frameworks within the financial sector.
Upon completing this training, participants will be able to:
- Grasp the strategic applications of AI within financial services.
- Assess the ethical and regulatory consequences of adopting AI technologies.
- Create frameworks for responsible AI governance and oversight.
- Ensure AI strategies align with organizational objectives and compliance mandates.
Course Format
- Interactive lectures and group discussions.
- Case studies and collaborative exercises.
- Practical analysis of real-world AI regulatory frameworks.
Customization Options
- To arrange a tailored training session for this course, please contact us directly.
AI for Trading and Asset Management
21 HoursArtificial Intelligence provides a robust suite of techniques for developing intelligent trading systems capable of analyzing market data, generating predictions, and executing strategies autonomously.
This instructor-led training, available either online or onsite, is designed for intermediate-level finance professionals seeking to leverage AI in trading and asset management. The curriculum focuses on signal generation, portfolio optimization, and the implementation of algorithmic strategies.
Upon completion of this training, participants will be able to:
- Grasp the significance of AI within contemporary financial markets.
- Utilize Python to construct and backtest algorithmic trading strategies.
- Apply supervised and unsupervised learning models to financial datasets.
- Optimize investment portfolios using AI-driven methodologies.
Course Format
- Engaging lectures coupled with interactive discussions.
- Extensive practical exercises and hands-on practice.
- Real-world implementation within a live laboratory environment.
Customization Options
- For personalized training requirements, please contact us to arrange a tailored session.
AI and WealthTech: Intelligent Advisory & Personalization
14 HoursArtificial Intelligence is revolutionizing the WealthTech sector by facilitating highly customized financial services, intelligent advisory platforms, and superior user experiences.
This instructor-led live training (available online or onsite) targets intermediate-level professionals in finance and technology who seek to design, assess, or deploy AI-powered solutions for personalized wealth management and robo-advisory services.
Upon completion of this training, participants will be capable of:
- Grasping how AI is utilized in wealth management and digital advisory platforms.
- Designing intelligent systems for tailored portfolio recommendations.
- Integrating behavioral finance data and client preferences into advisory algorithms.
- Assessing ethical and regulatory challenges associated with automated investment advice.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live laboratory environment.
Customization Options
- For customized training arrangements, please contact us.
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 instructor-led, live training in Slovakia (online or on-site) is designed for intermediate to advanced AI professionals and software developers who aim to create smart applications using AI and ML.
Upon completion of this training, participants will be able to:
- Grasp the advanced concepts and technologies underpinning AI and ML.
- Analyze and visualize data to guide the development of AI/ML models.
- Construct, train, and deploy AI/ML models efficiently.
- Develop smart applications capable of addressing real-world challenges.
- Assess the ethical implications of AI applications across various industries.
ChatGPT for Finance
14 HoursThis instructor-led, live training in Slovakia (online or onsite) is designed for finance professionals seeking to leverage ChatGPT to streamline their workflows and enhance their data analysis and reporting capabilities.
Upon completion of this training, participants will be able to:
- Grasp the fundamentals of ChatGPT and its underlying mechanisms.
- Apply ChatGPT to automate financial tasks such as data entry and report generation.
- Analyze financial data using ChatGPT to derive 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 serves as an AI-driven assistant that seamlessly integrates with Microsoft Office applications, enabling finance and accounting professionals to boost productivity, simplify reporting processes, and enhance decision-making capabilities.
This instructor-led, live training (available online or onsite) is designed for finance and accounting professionals with limited AI experience who aim to leverage Microsoft Copilot to improve accuracy, efficiency, and insight in their 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 Slovakia (online or onsite) is tailored for beginner-level IT professionals who wish to establish a foundational understanding of intelligent applications and their integration into 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 Slovakia (online or onsite) is designed for intermediate to advanced data scientists, engineers, and AI practitioners who aim to master the complexities of intelligent applications and utilize them to resolve 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.