GPT-4o, and agents like the code interpreter for data analysis, web browsing for research, and multimodal capabilities.
InstructorJacob CoccariEditorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This instructional slide outlines a primary learning objective focused on mastering both core and advanced prompting techniques for effective AI interaction.
This slide outlines the learning objectives for applying ChatGPT to various professional use cases including job hunting, sales, marketing, finance, customer service, HR, and L&D.
This introductory slide identifies the intended audience for the course as business owners, working professionals, and entrepreneurs.
The curriculum moves from basic techniques like Q&A and summarization to advanced methods including identity definition, context specification, delimiters, variables, and few-shot prompting.
Instruction includes data manipulation, visualization, and regression using Code Interpreter, alongside multimodal tasks like object detection and flowchart-to-code conversion.
The course includes specific practice items paired with instructor solutions to reinforce prompting techniques.
Instructional language may include technical terms like 'markdown' or 'triple quotes' that could challenge non-technical learners. This signal comes from a review created before the displayed update date; while the update label suggests potential changes, it does not prove these specific terminology concerns were addressed.
Some generated content examples used for prompting exercises may lack the quality or relevance expected by certain learners.
The curriculum aligns with professional goals but may be challenging for those without technical familiarity. This signal is based on a review that predates the displayed update; while the update label suggests potential changes, it does not prove these specific concerns were addressed.
