Professional Scrum Product Owner - AI Essentials Training Course
Artificial Intelligence is quickly becoming the cornerstone of contemporary product management, transforming how we identify customer needs, define solutions, and make critical decisions. Just as electricity revolutionized industry, AI is reshaping how 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.
By the end of this training, participants will be able to:
- Understand the fundamentals of Artificial Intelligence and differentiate between traditional AI and Generative AI (GenAI).
- Apply the seven preferred stances of a Product Owner (including the new Orchestrator stance) and use AI to strengthen each stance — such as Visionary, Experimenter, or Customer Representative.
- Master effective prompting and treat AI tools as intelligent collaborators with specialized skills.
- 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
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
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
Related Courses
AI Agents for Financial Services and Fraud Detection
14 HoursThis instructor-led, live training in Kenya (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 decisions.
This instructor-led, live training (available online or onsite) is designed for intermediate-level finance professionals looking to apply artificial intelligence to enhance credit scoring models, manage risk more effectively, and improve lending operations.
Upon completion of this training, participants will be able to:
- Gain a solid understanding of key AI methods utilized in credit scoring and risk prediction.
- Construct and evaluate credit scoring models using machine learning algorithms.
- Interpret model outputs to ensure regulatory compliance and transparency.
- Apply AI techniques to enhance 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.
Customization Options
- To request customized training for this course, please contact us to make arrangements.
AI for Digital Products in Banking
40 HoursArtificial Intelligence empowers the creation of digital solutions with sophisticated data-driven functionalities and tailored customer experiences.
Designed for intermediate-level banking professionals aiming to effectively design, develop, and launch AI-enabled digital products, this instructor-led live training is available both online and onsite. The programme combines asynchronous learning activities with in-person workshops.
Upon completion of this training, participants will be equipped to:
- Pinpoint customer requirements and establish a definitive product vision.
- Integrate AI technologies to augment digital banking offerings.
- Utilize agile methodologies and design thinking to craft user-centric solutions.
- Assess, refine, and optimize product performance to ensure enduring value.
Course Delivery Format
- 50% synchronous sessions (conducted virtually or in-person).
- 25% asynchronous learning activities (including video content, reading materials, and discussion forums).
- 25% hands-on in-person workshop featuring case studies.
Customization Options
- To arrange a bespoke training session for this course, please reach out to us.
AI for Fraud Detection & Anti‑Money Laundering
14 HoursArtificial intelligence is revolutionizing the way financial institutions identify fraud and prevent money laundering by leveraging intelligent, real-time analysis of extensive transaction data.
This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals looking to utilize machine learning and AI tools to automate and improve the detection of financial crimes, compliance monitoring, and operational governance.
Upon completing this training, participants will be capable of:
- Grasping the use cases of AI in fraud detection and AML monitoring.
- Designing and deploying models for anomaly detection and transaction scoring.
- Utilizing graph-based AI to identify network risks.
- Ensuring the deployment of ethical, explainable, and regulatory-compliant models.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical sessions.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request customized training for this course, please get in touch with us to make arrangements.
AI in Financial Services: Strategy, Ethics & Regulation
7 HoursAI serves as a strategic enabler in financial services, driving risk reduction, enhancing customer experience, and improving operational efficiency.
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 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:
- Grasp 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 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 online or onsite) targets beginner to intermediate-level FinTech professionals eager to explore the intersection 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 both online and onsite, targets intermediate-level professionals in finance and technology who seek to grasp the strategic, ethical, and regulatory dimensions of AI within the financial sector.
Upon completing this course, participants will be capable of:
- Comprehending the strategic uses of AI in financial services.
- Assessing the ethical and regulatory consequences of adopting AI technologies.
- Creating frameworks for responsible AI governance and oversight.
- Ensuring AI strategies align with organizational objectives and compliance standards.
Course Delivery Format
- Engaging lectures and interactive discussions.
- Analysis of case studies and collaborative group exercises.
- Practical examination of real-world AI regulatory frameworks.
Customization Options
- For a tailored training experience, please reach out to us to discuss arrangements.
AI for Trading and Asset Management
21 HoursArtificial Intelligence encompasses a robust suite of methodologies designed to create intelligent trading systems capable of analysing market data, generating predictions, and executing strategies autonomously.
This instructor-led, live training (available online or onsite) targets intermediate-level finance professionals keen on integrating AI techniques into trading and asset management. The curriculum emphasises signal generation, portfolio optimisation, and algorithmic strategies.
Upon completion of this training, participants will be equipped to:
- Grasp the role of AI within contemporary financial markets.
- Utilise Python to construct and backtest algorithmic trading strategies.
- Apply supervised and unsupervised learning models to financial datasets.
- Optimise portfolios through AI-driven methodologies.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and practical sessions.
- Hands-on implementation within 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 personalized financial services, smart advisory platforms, and improved user experiences.
This instructor-led live training (available online or onsite) is designed for intermediate-level finance and technology professionals who wish to design, evaluate, or implement AI-driven solutions for personalized wealth management and robo-advisory services.
Upon completion of this training, participants will be able to:
- Grasp how AI is applied in wealth management and digital advisory platforms.
- Design intelligent systems for personalized portfolio recommendations.
- Integrate behavioral finance data and user preferences into advisory algorithms.
- Assess ethical and regulatory concerns in automated investment advice.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical activities.
- Hands-on implementation in a live-lab environment.
Customization Options
- To request a customized training for this course, please contact us to arrange.
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 Kenya (available online or onsite) is tailored for AI professionals and software developers with intermediate to advanced skills who wish to create smart applications using AI and ML.
By the conclusion of this training, participants will be able to:
- Comprehend the advanced concepts and technologies driving 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 solve real-world problems.
- Evaluate the ethical implications of AI applications in various industries.
ChatGPT for Finance
14 HoursThis instructor-led, live training in Kenya (online or onsite) is tailored for finance professionals wishing to utilize ChatGPT to streamline workflows and improve data analysis and reporting capabilities.
By the conclusion of this training, participants will be able to:
- Understand the basics of ChatGPT and its functionality.
- Use ChatGPT to automate financial tasks such as data entry and report generation.
- Analyze financial data with ChatGPT to gain insights and make informed decisions.
- Develop custom ChatGPT models for specific financial use cases.
Copilot for Finance and Accounting Professionals
7 HoursMicrosoft Copilot for Microsoft 365 serves as an AI-driven assistant that seamlessly integrates with 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 designed for finance and accounting professionals who have limited AI experience but aim to harness Microsoft Copilot to enhance accuracy, efficiency, and insight in their financial tasks.
Upon completing this training, participants will be able to:
- Rapidly and accurately generate financial reports using Copilot.
- Automate repetitive accounting and data-entry tasks.
- Produce financial summaries and forecasts with the aid of AI.
- Utilize natural language prompts to extract valuable insights from extensive financial datasets.
Course Format
- Interactive lectures and discussions.
- Numerous exercises and practical practice sessions.
- Hands-on implementation within a live laboratory environment.
Customization Options for the Course
- To arrange a customized training course, please contact us.
Intelligent Applications Fundamentals
14 HoursThis instructor-led, live training delivered Kenya (either online or onsite) is aimed at beginner-level IT professionals seeking to establish a foundational understanding of intelligent applications and their applicability in 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 Kenya (online or on-site) 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.