Professional Scrum Product Owner - AI Essentials Training Course
Artificial Intelligence is swiftly emerging as the cornerstone of contemporary product management, fundamentally altering how we uncover customer needs, define solutions, and make strategic decisions. Much like electricity revolutionized industries, AI is reshaping the way products are developed, validated, and continuously evolved.
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 utilize AI to reinforce each stance, such as Visionary, Experimenter, or Customer Representative.
- Master the art of effective prompting and treat AI tools as intelligent collaborators possessing specialized skills.
- Deepen customer insights by creating AI-supported personas for hypothesis testing and discovery, while ensuring authentic customer engagement is maintained.
- Develop and articulate a clear product vision using structured frameworks like the 3x3 Framework, leveraging AI to craft and visualize compelling narratives.
- Utilize Generative AI tools to accelerate prototyping and hypothesis testing, including the generation of mock-ups and product concepts.
- Enhance product decision-making by using AI tools 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 to free up time for 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 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
Audience
- Product Owners
- Scrum Masters
- Agile Coaches
Need help picking the right course?
uae@nobleprog.com or +971 4871 6715
Professional Scrum Product Owner - AI Essentials Training Course - 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 the UAE (online or onsite) is designed for intermediate-level financial professionals, risk analysts, and AI engineers seeking to develop and deploy AI-driven solutions for financial automation and fraud detection.
Upon completion of this training, participants will be able to:
- Comprehend the role of AI in financial automation and fraud detection.
- Construct AI models capable of identifying fraudulent transactions.
- Utilize machine learning techniques for real-time risk assessment.
- Deploy AI-enhanced financial monitoring systems.
AI for Credit Risk, Scoring & Lending Optimization
14 HoursArtificial intelligence is reshaping the way financial institutions evaluate creditworthiness, price risk, and streamline lending decisions.
This instructor-led, live training (available online or on-site) targets finance professionals at an intermediate level who want to leverage artificial intelligence to refine credit scoring models, manage risk more efficiently, and enhance lending operations.
By the conclusion of this training, participants will be able to:
- Gain insight into the core AI methodologies applied 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.
- Utilize AI techniques to optimize underwriting, loan approval processes, and portfolio management.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical application.
- Hands-on implementation within a live lab environment.
Course Customization Options
- For a customized version of this course, please get in touch to make arrangements.
AI for Digital Products in Banking
40 HoursArtificial Intelligence empowers the creation of digital products with sophisticated, data-driven capabilities and personalized customer experiences.
This instructor-led live training, available both online and onsite, incorporates asynchronous activities and in-person workshops. It is designed for intermediate-level banking professionals aiming to effectively design, develop, and deliver AI-powered digital products.
Upon completing this training, participants will be equipped to:
- Identify customer needs and articulate a clear product vision.
- Integrate AI technologies to enhance digital banking offerings.
- Utilize agile and design thinking methodologies to develop user-centric solutions.
- Measure, iterate on, 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 arrange customized training for this course, please contact us.
AI for Fraud Detection & Anti‑Money Laundering
14 HoursAI is reshaping the way financial institutions identify fraud and combat money laundering by leveraging intelligent, real-time analysis of massive transaction datasets.
This instructor-led live training, available either online or onsite, is designed for intermediate-level professionals eager 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:
- Gain a solid understanding of AI use cases in fraud detection and AML monitoring.
- Design and implement models tailored for anomaly detection and transaction scoring.
- Utilize graph-based AI techniques for network risk detection.
- Ensure that model deployments are ethical, explainable, and compliant with regulatory standards.
Format of the Course
- Interactive lectures and discussions.
- Abundant exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request a customized version of this course, please contact us to arrange your preferences.
AI in Financial Services: Strategy, Ethics & Regulation
7 HoursAI in Financial Services is a strategic enabler for risk reduction, customer experience, and operational efficiency.
This instructor-led, live training (online or onsite) is aimed at financial services executives, fintech managers, and compliance officers with limited prior exposure to artificial intelligence who wish to understand how to responsibly and effectively implement AI solutions in 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.
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 HoursAI is reshaping 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 FinTech professionals who want 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 live training, available either online or on-site, is designed for financial and technology professionals at an intermediate level who aim to grasp the influence of AI on strategy, ethics, and regulation within the financial sector.
Upon completing this training, participants will be equipped to:
- Comprehend the strategic deployment of AI within financial services.
- Assess the ethical and regulatory consequences of implementing AI.
- Construct frameworks for responsible AI governance and oversight.
- Align AI strategies with organizational objectives and regulatory standards.
Course Delivery Format
- Interactive lectures and discussions.
- Case studies and collaborative group exercises.
- Practical analysis of real-world AI regulatory frameworks.
Course Customization Options
- To request a customized version of this training, please contact us to arrange it.
AI for Trading and Asset Management
21 HoursArtificial Intelligence encompasses a robust set 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 on-site, is tailored for finance professionals at an intermediate level who aim to leverage AI techniques within trading and asset management. The curriculum emphasizes signal generation, portfolio optimization, and algorithmic strategies.
Upon completion of this training, participants will be equipped to:
- Grasp the pivotal role of AI in contemporary financial markets.
- Utilize Python to develop and backtest algorithmic trading strategies.
- Apply both supervised and unsupervised learning models to financial datasets.
- Enhance portfolio optimization using AI-driven approaches.
Course Format
- Interactive lectures and group discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- For inquiries regarding customized training arrangements for this course, please reach out to us.
AI and WealthTech: Intelligent Advisory & Personalization
14 HoursArtificial Intelligence is reshaping the WealthTech landscape by facilitating highly customized financial services, smart advisory platforms, and superior user experiences.
This instructor-led training session, available both online and onsite, is designed for intermediate-level professionals in finance and technology who aim to design, assess, or deploy AI-driven solutions for personalized wealth management and robo-advisory services.
Upon completing this training, participants will be equipped to:
- Comprehend the application of AI within wealth management and digital advisory ecosystems.
- Architect intelligent systems that deliver personalized portfolio recommendations.
- Integrate behavioral finance data and client preferences into advisory algorithms.
- Assess ethical implications and regulatory requirements associated with automated investment advice.
Course Format
- Engaging lectures paired with interactive discussions.
- Extensive practical exercises and hands-on practice.
- Real-world implementation within a live laboratory environment.
Customization Options
- For inquiries regarding customized training modules for this course, please reach out to us to make arrangements.
Applied AI for Financial Statement Analysis & Reporting
14 HoursApplied AI brings unprecedented levels of efficiency and intelligence to how finance professionals analyze and report on business performance.
This instructor-led, live training (available online or onsite) targets intermediate-level finance professionals looking to integrate AI tools into their financial statement workflows to boost 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.
Course Format
- Interactive lectures and discussions.
- Ample exercises and practical practice.
- Hands-on implementation in a live-lab environment.
Customization Options
- To request a customized training session for this course, please contact us to arrange.
Building Intelligent Applications with AI and ML
28 HoursThis instructor-led, live training in the UAE (online or onsite) is designed for AI professionals and software developers with intermediate to advanced expertise who aim to build intelligent 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.
- Effectively build, train, and deploy AI/ML models.
- Develop intelligent applications capable of solving real-world problems.
- Assess the ethical implications of AI applications across various industries.
ChatGPT for Finance
14 HoursThis instructor-led, live training in the UAE (online or onsite) is designed for finance professionals seeking to use ChatGPT to streamline their workflows and enhance their data analysis and reporting capabilities.
Upon completion of this training, participants will be able to:
- Understand the fundamentals of ChatGPT and its underlying mechanisms.
- Utilize ChatGPT to automate financial tasks such as data entry and report generation.
- Analyze financial data using ChatGPT to derive insights and facilitate 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 designed to integrate seamlessly with Microsoft Office applications, empowering finance and accounting professionals to boost productivity, streamline reporting processes, and facilitate informed decision-making.
This instructor-led live training, available online or onsite, is tailored for finance and accounting professionals with limited AI experience who aim to leverage Microsoft Copilot to enhance the accuracy, efficiency, and depth of insight in their financial tasks.
Upon completing this training, participants will be equipped to:
- Rapidly and accurately generate financial reports using Copilot.
- Automate routine accounting and data-entry operations.
- Produce financial summaries and forecasts supported by AI.
- Utilize natural language prompts to extract valuable insights from extensive financial datasets.
Course Format
- Interactive lectures and group discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Customization Options
- For tailored training solutions, please reach out to us to make arrangements.
Intelligent Applications Fundamentals
14 HoursThis instructor-led, live training in the UAE (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 the UAE (online or onsite) is designed for intermediate to advanced data scientists, engineers, and AI practitioners seeking to master the nuances of intelligent applications and utilize them to resolve complex, real-world challenges.
Upon completion of this training, participants will be able to:
- Implement and evaluate 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 comprehension.
- Utilize computer vision techniques for image and video analysis.
- Address ethical considerations in the development and deployment of AI systems.