Before you commit time to any course, you should know exactly what you will be able to do at the end. This lesson lays out the concrete outcomes we are aiming for.
Skill outcomes
By the end of this course, you should be able to:
1. Take a vague idea (for example, 'help me improve my product page') and turn it into a clear, structured prompt.\n2. Identify why a prompt is underperforming and improve it systematically instead of guessing.\n3. Design prompts that are safe to reuse in production (they are robust to slightly different inputs).\n4. Combine multiple prompts into small workflows: research → analyze → draft → refine.\n5. Explain your prompt design choices to teammates, clients, or stakeholders.
Project outcomes
You will also complete small, self-paced projects, such as:
- Designing a prompt for information extraction from messy text\n- Building a few-shot classifier with your own examples\n- Creating a chain-of-thought style prompt for a reasoning-heavy task\n- Sketching a system prompt for a simple chatbot
These projects are intentionally text-based and tool-agnostic so you can reproduce them in any LLM interface.
Key takeaways
Keep these objectives in mind as you move forward. If a technique does not help you get closer to these outcomes, it is probably an unnecessary complication.