Master Prompt Engineering: Write Better, Plan Faster, Think Clearer. Everyday Prompt Engineering: Unlock the Power of AI
InstructorSteve Ballinger, MBA
Instruction moves beyond simple templates to explain the underlying logic of how generative models process information.
The curriculum focuses on practical professional applications such as email writing, task prioritization, and summarizing content.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This guide outlines prompt engineering strategies such as role prompting and idea organization, providing specific text examples for open brainstorming and refining concepts into action plans.
This overview slide highlights key course pillars including learning prompt engineering, taking control of AI tools, and working more efficiently, creatively, and impactfully.
An instructor sits in a leather chair beside bold white text announcing the learning objectives, framed by smaller labels for engaging and focused lessons.
Learners have noted issues with repetitive narrative, a fast speaking pace, and the use of AI-generated presentation assets. Note that some negative signals regarding these elements were recorded before the displayed update date; while an update occurred later, it does not prove these specific issues were corrected.
Some signals suggest a lack of sufficient concrete examples and downloadable resources to support the lessons. Note that these concerns predated the displayed update, and the update label does not guarantee a correction of the content depth.
The curriculum aligns with the target of non-technical professionals, though it may not meet the needs of experienced users.