This course teaches a new approach to application development and operational design, moving beyond traditional coding to the art of directing generative AI. Grounded in the principle that knowledge work is the blueprint for every successful AI-built application, participants learn to map their workflows, clarify their intent, and apply the "Think First, Architect Second, Prompt Third" framework to build low-code and no-code AI solutions that solve real problems. With generative AI, everyone is a developer — and this course builds the skills to prove it.
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Course Overview
Course Outcomes
- Direct AI in Software Development: Move beyond traditional coding to a model of guidance and collaboration, learning the essential skills to build with AI rather than simply use it.
- Clarify Intent Before Building: Align technical goals with strategic vision and user needs, understanding that well-mapped knowledge work is the foundation of every effective AI application.
- Apply the “Think First, Architect Second, Prompt Third” Framework: Emphasize principles of workflow design and application architecture over syntax, building solutions that are robust, scalable, and mission-relevant.
- Design AI Workflows for Low-Code and No-Code Environments: Identify which tasks to automate, which to augment, and which to retain — building capability as a workflow architect and technical leader rather than a code writer.
- Lead as a Director, Not a Developer: Understand how the role of the builder shifts to innovator and lifelong learner in AI-augmented work, and develop the shared language needed to lead AI application development across a team or organization.
Business Need
AI has fundamentally changed who can build software. In an era where generative AI can write code, the most valuable skill is no longer syntax — it is the ability to direct AI effectively to design, build, and deploy robust, mission-aligned applications. The bottleneck is no longer technical access; it is the quality of human intent, architecture, and workflow thinking behind the prompt.
Course Schedule
Typical Course Duration
Virtual: 3 hours
Delivery Methods
Number of participants
- virtual: 30
Course Details
Field of Study:
Navigating the AI Era
Course Level:
- Leaders at all levels
Learning Methods:
- Group Activities
- Group Discussions
- Practice Activities
Equipment:
- CI's virtual platform