Professional Scrum Product Owner - AI Essentials Training Course
Artificial Intelligence is rapidly emerging as the cornerstone of modern product management, fundamentally transforming how we uncover customer needs, define solutions, and make critical decisions. Much like electricity revolutionized industry, AI is reshaping the way products are built, validated, and evolved.
This instructor-led, live training (available online or onsite) is designed for Product Owners, Scrum Masters, and Agile Coaches who wish to understand how AI can enhance product ownership and strengthen decision-making processes.
By the conclusion of this training, participants will be able to:
- Grasp the fundamentals of Artificial Intelligence and distinguish between traditional AI and Generative AI (GenAI).
- Apply the seven preferred stances of a Product Owner (including the newly introduced Orchestrator stance) and leverage AI to reinforce each stance—such as Visionary, Experimenter, or Customer Representative.
- Master effective prompting techniques and treat AI tools as intelligent collaborators with specialized expertise.
- Deepen customer understanding and create AI-supported personas for hypothesis testing and discovery, while maintaining authentic customer contact.
- Develop and communicate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to shape and visualize narratives.
- Use Generative AI tools to accelerate prototyping and hypothesis testing, such as generating mock-ups or product concepts.
- Support product decisions by using AI tools to analyze, prioritize, and evaluate features based on value, feasibility, and user impact.
- Automate or delegate routine daily tasks (emails, stakeholder management, note-taking) using AI to focus on strategic and creative work.
- Lead discussions on AI ethics, bias, and data security, ensuring responsible and sustainable AI adoption.
- Identify and design valuable AI use cases tailored to the specific product and organizational context.
- Explore and experiment with around 20 different AI tools and models — from productivity assistants and prototyping platforms to generative video, image, and coding solutions.
Format of the Course
- 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 is 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 Sweden (online or onsite) targets 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 reshaping how financial institutions evaluate creditworthiness, price risk, and optimize lending decisions.
This instructor-led live training (available online or on-site) is designed for intermediate-level finance professionals seeking to apply artificial intelligence to enhance credit scoring models, manage risk more effectively, and streamline lending operations.
Upon completing this training, participants will be able to:
- Grasp the core AI methodologies utilized in credit scoring and risk prediction.
- Construct and assess credit scoring models using machine learning algorithms.
- Interpret model outputs to ensure regulatory compliance and transparency.
- Implement AI techniques to refine underwriting, loan approval processes, and portfolio management.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical activities.
- Hands-on implementation within a live laboratory environment.
Customization Options
- To request tailored training for this course, please contact us to make arrangements.
AI for Digital Products in Banking
40 HoursArtificial Intelligence serves as a pivotal technology for developing digital products that offer sophisticated, data-driven capabilities and highly personalized customer experiences.
This instructor-led live training, available both online and onsite, integrates asynchronous learning with in-person workshops. It is specifically designed for banking professionals with an intermediate level of expertise who aim to effectively design, develop, and launch AI-powered digital products.
Upon completing this training, participants will be equipped to:
- Pinpoint customer needs and establish a clear product vision.
- Implement AI technologies to elevate digital banking products.
- Utilize agile methodologies and design thinking to craft user-centric solutions.
- Monitor, iterate, and optimize product performance to ensure sustained value.
Course Format
- 50% synchronous sessions (conducted virtually or in-person).
- 25% asynchronous activities (including videos, readings, and discussion forums).
- 25% in-person practical workshop featuring real-world case studies.
Customization Options
- To arrange a customized version of this course, please reach out to us.
AI for Fraud Detection & Anti‑Money Laundering
14 HoursArtificial intelligence is reshaping the way financial institutions identify fraud and counteract money laundering by intelligently analyzing vast volumes of transaction data in real time.
This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals aiming 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:
- Understand how AI is applied in fraud detection and AML monitoring.
- Design and implement models for anomaly detection and transaction scoring.
- Utilize graph-based AI to identify network risks.
- Ensure 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.
Course Customization Options
- To arrange customized training for this course, please contact us.
AI in Financial Services: Strategy, Ethics & Regulation
7 HoursAI serves as a strategic enabler in financial services, driving improvements in risk reduction, customer experience, and operational efficiency.
This instructor-led training, available both online and onsite, is designed for financial services executives, fintech managers, and compliance officers who have limited prior exposure to artificial intelligence but wish to understand how to responsibly and effectively implement AI solutions within their institutions.
Upon completion of this training, participants will be able to:
- Appreciate the strategic value of AI in the financial sector.
- Identify and mitigate ethical risks associated with AI models.
- Navigate the regulatory landscape for AI in finance.
- Design responsible AI governance and implementation frameworks.
Format of the Course
- Interactive lecture and discussion.
- 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 reshaping the FinTech sector by facilitating smart automation, ultra-personalized experiences, and secure, real-time financial services.
This instructor-led, live training, available both online and onsite, targets beginner to intermediate FinTech professionals eager to explore the intersection of AI, APIs, and Open Banking innovations to create next-generation financial solutions.
Upon completion of this training, participants will be able to:
- Comprehend how AI and machine learning are applied across various FinTech use cases.
- Utilize Open Banking APIs and data aggregation for product innovation.
- Develop AI-driven 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 activities.
- Hands-on implementation in a live-lab environment.
Customization Options
- To request a tailored training for this course, please contact us to arrange.
AI Governance and Strategic Risk Management in Financial Services
7 HoursArtificial Intelligence is reshaping how financial institutions approach risk management, strategic planning, compliance, and customer experience.
This instructor-led live training, available online or onsite, is designed for intermediate-level professionals in finance and technology who want to grasp the strategic, ethical, and regulatory implications of AI within the financial sector.
Upon completing this training, participants will be able to:
- Comprehend the strategic uses of AI in financial services.
- Assess the ethical and regulatory consequences of adopting AI.
- Create frameworks for responsible AI governance and oversight.
- Align AI strategies with organizational objectives and compliance standards.
Course Format
- Interactive lectures and discussions.
- Case studies and group exercises.
- Practical examination of real-world AI regulatory frameworks.
Customization Options
- To request customized training for this course, please contact us to arrange.
AI for Trading and Asset Management
21 HoursArtificial Intelligence comprises advanced techniques used to create intelligent trading systems that analyze market data, generate predictions, and execute strategies autonomously.
This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals aiming to apply AI methods in 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:
- Comprehend the role of AI in modern financial markets.
- Utilize Python to build and backtest algorithmic trading strategies.
- Apply supervised and unsupervised learning models to financial data.
- Optimize portfolios using AI-driven techniques.
Format of the Course
- Interactive lectures and discussions.
- Numerous exercises and practical tasks.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
AI and WealthTech: Intelligent Advisory & Personalization
14 HoursAI is revolutionizing WealthTech by facilitating highly customized financial services, smart advisory platforms, and improved user experiences.
This instructor-led live training (available online or on-site) targets intermediate finance and technology professionals seeking to design, assess, or deploy AI-powered solutions for personalized wealth management and robo-advisory services.
Upon completing this training, participants will be capable of:
- Grasping the application of AI in wealth management and digital advisory platforms.
- Designing intelligent systems tailored for personalized portfolio recommendations.
- Integrating behavioral finance data and client preferences into advisory algorithms.
- Evaluating ethical and regulatory considerations regarding automated investment advice.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical application.
- Hands-on implementation within a live laboratory environment.
Customization Options
- For customized training arrangements for this course, please contact us.
Applied AI for Financial Statement Analysis & Reporting
14 HoursThe application of artificial intelligence brings unprecedented levels of efficiency and intelligence to how finance professionals analyze and report on business performance.
This instructor-led live training, available either online or onsite, is designed for intermediate-level finance professionals who want to incorporate AI tools into their financial statement workflows. The goal is to improve accuracy, automate repetitive tasks, and derive forward-looking insights.
Upon completion of this training, participants will be able to:
- Automate the extraction of data from financial documents using AI tools.
- Apply machine learning models to identify trends and anomalies within financial statements.
- Utilize generative AI to support variance commentary, create narrative reports, and simulate scenarios.
- Interpret outputs generated by AI responsibly, specifically within the context of financial reporting and planning.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical application.
- Hands-on implementation within a live laboratory environment.
Customization Options for the Course
- To request customized training for this course, please contact us to arrange your session.
Building Intelligent Applications with AI and ML
28 HoursThis live, instructor-led training in Sweden (online or onsite) is designed for intermediate to advanced AI specialists and software developers who aim to develop intelligent applications leveraging AI and ML.
Upon completion of this training, participants will be capable of:
- Grasping the advanced concepts and technologies underpinning AI and ML.
- Analyzing and visualizing data to guide the development of AI/ML models.
- Effectively constructing, training, and deploying AI/ML models.
- Developing intelligent applications that address real-world challenges.
- Assessing the ethical implications of AI applications across various sectors.
ChatGPT for Finance
14 HoursThis instructor-led, live training in Sweden (online or onsite) is designed for finance professionals seeking to use ChatGPT to optimize their workflows and enhance their capabilities in data analysis and reporting.
Upon completion of this training, participants will be able to:
- Grasp the fundamentals of ChatGPT and its underlying mechanics.
- Employ ChatGPT to automate financial tasks, including data entry and report creation.
- Analyze financial data using ChatGPT to uncover insights and support informed decision-making.
- Build custom ChatGPT models tailored to specific financial use cases.
Copilot for Finance and Accounting Professionals
7 HoursCopilot for Microsoft 365 is an AI-driven 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 Sweden (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 Sweden (online or on-site) is designed for data scientists, engineers, and AI practitioners at intermediate to advanced levels who aim to master the complexities of intelligent applications and apply them to solve intricate, real-world challenges.
Upon completion of this training, participants will be able to:
- Implement and analyze deep learning architectures.
- Apply machine learning at scale within distributed computing environments.
- 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.
