Professional Scrum Product Owner - AI Essentials Training Course
Artificial Intelligence is quickly emerging as the backbone of contemporary product management — fundamentally changing how we identify customer needs, define solutions, and make strategic choices. Much like electricity transformed industries, AI is reshaping the creation, validation, and evolution of products.
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 improve decision-making processes.
Upon completing this training, participants will be equipped to:
- Grasp the core principles of Artificial Intelligence and distinguish between conventional AI and Generative AI (GenAI).
- Implement the seven key Product Owner stances (including the new Orchestrator role) and leverage AI to bolster each one — such as the Visionary, Experimenter, or Customer Representative roles.
- Master effective prompting techniques and view AI tools as skilled, intelligent collaborators.
- Enhance customer insights by developing AI-assisted personas for hypothesis testing and discovery, while preserving genuine customer interactions.
- Craft and articulate a clear product vision using structured frameworks like the 3x3 Framework, utilizing AI to shape and visualize narratives.
- Utilize Generative AI tools to speed up prototyping and hypothesis testing, including the generation of mock-ups and product concepts.
- Inform product decisions by using AI to analyze, prioritize, and assess features based on their value, feasibility, and user impact.
- Automate or delegate routine daily activities (such as emails, stakeholder management, and note-taking) with AI to free up time for strategic and creative work.
- Facilitate conversations around AI ethics, bias, and data security to ensure responsible and sustainable AI implementation.
- Identify and design high-value AI use cases specific to the product and organizational context.
- 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 offers 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
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 Uzbekistan (online or on-site) is designed for 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 to detect fraudulent transactions.
- Apply machine learning techniques for real-time risk assessment.
- Deploy AI-powered financial monitoring systems.
AI for Credit Risk, Scoring & Lending Optimization
14 HoursAI is transforming how financial institutions assess creditworthiness, price risk, and optimise lending decisions.
This instructor-led, live training (online or onsite) is aimed at intermediate-level finance professionals who wish to apply artificial intelligence to enhance credit scoring models, manage risk more effectively, and improve lending operations.
By the end of this training, participants will be able to:
- Understand key AI methods used in credit scoring and risk prediction.
- Build and evaluate credit scoring models using machine learning algorithms.
- Interpret model outputs for regulatory compliance and transparency.
- Apply AI techniques to improve underwriting, loan approval, and portfolio management.
Format of the Course
- Interactive lecture and discussion.
- Numerous exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
Course Customisation Options
- To request a customised training for this course, please contact us to arrange.
AI for Digital Products in Banking
40 HoursArtificial Intelligence is a technology that enables the development of digital products with advanced data-driven capabilities and personalised customer experiences.
This instructor-led, live training (online or on-site), combined with asynchronous activities and in-person workshops, is designed for intermediate-level banking professionals who wish to design, develop, and deliver AI-powered digital products effectively.
By the end of this training, participants will be able to:
- Identify customer needs and define a clear product vision.
- Apply AI technologies to enhance digital banking products.
- Use agile and design thinking methods to create user-centred solutions.
- Measure, iterate, and optimise product performance for sustained value.
Course Format
- 50% synchronous classes (virtual or in-person).
- 25% asynchronous activities (videos, readings, forums).
- 25% in-person practical workshop with case studies.
Course Customisation Options
- To request a customised training session for this course, please contact us to arrange.
AI for Fraud Detection & Anti‑Money Laundering
14 HoursAI is transforming how financial institutions detect fraud and combat money laundering through intelligent, real-time analysis of vast transaction datasets.
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to apply machine learning and AI tools to automate and enhance financial crime detection, compliance monitoring, and operational governance.
By the end of this training, participants will be able to:
- Understand AI use cases in fraud detection and AML monitoring.
- Design and implement models for anomaly detection and transaction scoring.
- Leverage graph-based AI for network risk detection.
- Ensure ethical, explainable, and regulatory-compliant model deployment.
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.
AI in Financial Services: Strategy, Ethics & Regulation
7 HoursAI in Financial Services serves as a strategic enabler for risk reduction, enhanced customer experience, and operational efficiency.
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 understand how to responsibly and effectively implement AI solutions within their institutions.
By the end of this training, participants will be able to:
- Understand the strategic value of AI in financial services.
- Identify and mitigate ethical risks associated with AI models.
- Navigate the regulatory landscape for AI in finance.
- Design responsible AI governance and implementation frameworks.
Course Format
- Interactive lectures and group discussions.
- Case study analysis and collaborative exercises.
- Application of ethical frameworks to realistic financial scenarios.
Course Customisation Options
- To request a customised training session for this course, please contact us to arrange.
AI in FinTech & Open Banking Innovation
14 HoursAI is transforming FinTech by enabling intelligent automation, hyper-personalization, and secure real-time financial services.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level FinTech professionals who wish to explore the convergence of AI, APIs, and Open Banking innovations to design next-generation financial products.
By the end of this training, participants will be able to:
- Understand how AI and machine learning are applied across FinTech use cases.
- Leverage Open Banking APIs and data aggregation for product innovation.
- Design AI-driven features for digital wallets, neobanks, and financial assistants.
- Align innovation with regulatory, ethical, and security considerations.
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.
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 customer engagement.
This instructor-led training, available online or on-site, targets intermediate-level professionals in finance and technology who want to grasp the influence of AI on strategy, ethics, and regulation within the financial industry.
Upon completion of this course, participants will be equipped to:
- Identify 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.
- Synchronize AI strategies with organizational objectives and compliance mandates.
Course Format
- Interactive lectures and discussions.
- Case studies and collaborative group exercises.
- Practical examination of real-world AI regulatory structures.
Customization Options
- For a tailored training experience, please contact us to discuss your specific needs.
AI for Trading and Asset Management
21 HoursArtificial Intelligence (AI) is a powerful set of techniques used to develop intelligent trading systems that analyze market data, generate predictions, and autonomously execute trading strategies.
This instructor-led, live training (available online or on-site) is designed for intermediate-level finance professionals who aim to apply AI techniques in trading and asset management, with a focus on signal generation, portfolio optimisation, and algorithmic strategies.
By the end of this training, participants will be able to:
- Understand the role of AI in modern financial markets.
- Use Python to build and backtest algorithmic trading strategies.
- Apply supervised and unsupervised learning models to financial data.
- Optimise portfolios using AI-driven techniques.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical sessions.
- Hands-on implementation in a live lab environment.
Course Customisation Options
- To request a customised training session for this course, please contact us to arrange.
AI and WealthTech: Intelligent Advisory & Personalization
14 HoursAI is reshaping the WealthTech sector by facilitating highly tailored financial services, smart advisory platforms, and improved client experiences.
This instructor-led live training, available online or onsite, targets intermediate-level finance and technology professionals aiming to design, assess, or deploy AI-driven solutions for personalized wealth management and robo-advisory services.
Upon completing this training, participants will be able to:
- Grasp how AI is utilized in wealth management and digital advisory platforms.
- Construct intelligent systems for tailored portfolio recommendations.
- Integrate behavioral finance data and client preferences into advisory algorithms.
- Assess ethical and regulatory issues related to automated investment advice.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical activities.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request a customized training session for this course, please contact us to arrange it.
Applied AI for Financial Statement Analysis & Reporting
14 HoursApplied AI introduces new levels of efficiency and intelligence to the way finance professionals analyse 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 analyse 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 Customisation Options
- To request a customised training for this course, please contact us to arrange.
Building Intelligent Applications with AI and ML
28 HoursThis instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level to advanced-level AI professionals and software developers who wish to build intelligent applications using AI and ML.
By the end of 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 Uzbekistan (available online or on-site) is designed for finance professionals who wish to leverage 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 understand how it operates.
- Utilise ChatGPT to automate financial tasks such as data entry and report generation.
- Analyse financial data using ChatGPT to derive insights and support informed decision-making.
- 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 to help finance and accounting professionals boost productivity, streamline reporting processes, and support better decision-making.
This instructor-led, live training (available online or onsite) targets finance and accounting professionals with limited AI experience who aim to leverage Microsoft Copilot to enhance accuracy, efficiency, and insights 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 Uzbekistan (online or onsite) is designed for beginner-level IT professionals seeking a foundational understanding of intelligent applications and their applicability across various industries.
By the conclusion 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 Uzbekistan (online or onsite) is aimed at intermediate-level to advanced-level 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 analyse 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.
- Utilise computer vision techniques for image and video analysis.
- Address ethical considerations in the development and deployment of AI systems.