AI-Prompt Engineering: Managers, Project Managers and Scrum
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Unclaimed ProfileThe integration of Artificial Intelligence into project management and agile workflows is no longer a futuristic concept—it is a modern operational necessity. "AI-Prompt Engineering: Managers, Project Managers and Scrum" by HK School of Management - LSP provides professionals with the strategic frameworks required to leverage large language models effectively. Designed specifically for leaders, scrum masters, and project coordinators, this course bridges the gap between technical AI capabilities and day-to-day management tasks. Participants will discover how to construct precise, context-rich prompts using structured frameworks (incorporating roles, goals, constraints, and outputs) to automate repetitive administrative duties, evaluate project risks, and streamline sprint planning. Beyond basic querying, the curriculum dives into advanced multi-step prompt chaining and the design of reusable templates that ensure consistency across agile teams. By adopting an AI-First mindset, managers can transition from tedious operational oversight to high-value strategic leadership. This course is ideal for anyone looking to optimize workflow automation, enhance decision-making through AI partnership, and effectively direct development teams utilizing modern generative tools.
About the creator
HK School of Management - LSP
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HK School of Management - LSP, represented by instructor Yury Kozlov, is a forward-thinking educational institution dedicated to equipping modern business leaders, project managers, and Scrum Masters with cutting-edge digital competencies. In an era where artificial intelligence is rapidly reshaping the corporate landscape, the school bridges the gap between complex technical tools and practical, everyday management workflows. The curriculum is specifically designed to demystify AI technologies, focusing heavily on hands-on application, structured prompt engineering, and operational efficiency. By teaching managers how to effectively communicate with large language models, the courses help professionals automate administrative bottlenecks, streamline sprint planning, draft impeccable…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Write clear, structured prompts using role, goal, context, constraints, and output to get reliable AI results.
- Design reusable prompt systems that deliver consistent outputs across tasks, projects, and scenarios.
- Chain multi-step prompts to solve complex problems and build practical AI-assisted workflows.
- Improve AI output quality by handling ambiguity, incomplete data, and conflicting inputs effectively.
- Use AI as a critical thinking partner, knowing when to trust outputs and when to challenge them.
- Core AI concepts (Prompt Engineering & Context Windows) to effectively communicate with technical stakeholders and development teams.
- Transition from an "Administrative" to a "Strategic" leadership style by adopting the AI-First Mindset and AI assistant model.
- Design professional-grade prompts using the "Core Elements" framework (Role, Goal, Context, Constraints, Output) to generate consistent results.
- Construct advanced, multi-step prompt chains to automate complex workflows like risk assessment and schedule analysis.
- Reduce rework by designing prompts that anticipate constraints, risks, and edge cases.
- Manage uncertainty by guiding AI when inputs are incomplete, ambiguous, or conflicting.
- Build prompt templates that scale across projects, teams, and recurring work.
Best For
- Project managers and Scrum masters looking to automate administrative workflows
- Team leads and managers aiming to integrate generative AI into daily agile processes
- Professionals who need to improve the consistency and quality of their AI-generated outputs
- Managers seeking a structured framework to delegate operational tasks to AI tools
Not For
- Software developers or data scientists looking for advanced model training or fine-tuning
- Beginners seeking a technical primer on the programming architecture behind LLMs
- Non-managers who do not deal with project oversight, sprint planning, or team coordination
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