Generative AI Foundations: Prompt Engineering
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 37m | 336 MB
Instructor: Hampton Paulk
AI tools are powerful, but the quality of their output depends on how well you guide them. This course will teach you how to plan, structure and refine prompts so you can consistently get clear, accurate and usable results from AI systems.
What you'll learn
Prompting often looks like a technical trick, but it's really a communication skill and it's quickly becoming essential for getting reliable results from AI. In this course, Generative AI Foundations: Prompt Engineering, you'll gain the ability to consistently guide an AI system toward useful, accurate outputs by combining clear intent, strong context and practical constraints.
First, you'll explore how prompting works as an evolving conversation and why the way you express a request determines what the model can deliver. Next, you'll discover how to plan successful prompts up front by defining your goal, audience and desired format, then adding the right context so the model doesn't have to guess. Finally, you'll learn how to control output quality with constraints and structured breakdowns, and when to deliberately "turn on" deeper reasoning for more complex work.
When you're finished with this course, you'll have the skills and knowledge of prompt engineering needed to write prompts that are clearer, more consistent and easier to reuse across real workplace and everyday tasks.
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