This two-day course explores two foundational approaches to working effectively with modern AI systems: structured prompting and intuitive “vibe coding.” Rather than treating AI as a static tool, participants learn how to actively steer model behaviour using both precision-driven instructions and iterative, conversational refinement.
The course demystifies how high-performing users actually work with AI in real workflows. Prompting is treated as the engineering layer focused on clarity, constraints, and repeatability while vibe coding is framed as the creative steering layer, where outcomes are shaped through rapid feedback and adaptive thinking. Participants will learn when to switch between these modes, how to combine them, and how to avoid common failure patterns such as over-prompting or under-specifying.
By the end of the program, learners will be able to move fluidly between structured AI control and exploratory iteration, building outputs that are both reliable and creatively strong. The emphasis is practical: real tasks, real workflows, and real decision-making patterns used in professional AI environments.
Course Outline
Foundations: Prompting as Structured Control
Understanding AI Interaction Models
- How large language models interpret instructions
- The difference between open-ended and constrained outputs
- Why structure improves reliability and scalability
Core Prompting Principles
- Clarity, context, and constraint design
- Role-based prompting and instruction hierarchy
- Controlling tone, format, and depth of output
Building Effective Prompt Structures
- Turning vague requests into precise instructions
- Designing reusable prompt templates
- Avoiding ambiguity and output drift
Hands-On Lab: Structured Output Design
- Converting real-world tasks into high-quality prompts
- Generating consistent reports, summaries, and formatted outputs
- Testing variations for reliability and accuracy
Vibe Coding: Iteration, Steering, and Creative Control
What Vibe Coding Actually Is
- Conversational shaping of AI outputs
- Iteration loops vs single-shot prompting
- Why intuition matters in AI workflows
Steering Outputs in Real Time
- Refining tone, style, and intent dynamically
- Using feedback loops effectively
- Moving from rough ideas to polished outputs
Blending Prompting and Vibe Coding
- When structure breaks down (and how to recover it)
- Hybrid workflows for real production use cases
- Avoiding over-engineering and under-specification
Hands-On Lab: Iterative AI Workflow
- Starting with a loose concept and refining it step-by-step
- Building a complete asset (document, landing page, or script) through iteration
- Comparing structured vs vibe-driven results
Outcome
Participants leave with a practical understanding of how modern AI work actually happens in real environments: not as rigid prompting alone, but as a fluid combination of structured instruction and adaptive iteration. The key skill developed is judgment—knowing when to design a precise prompt and when to step back and steer the model through feedback and refinement.