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Video course · 13 chapters · 22 min · certificate

Advanced Prompt Engineering for LLMs: Workflows & Templates

Prompting from beginner to expert: basic structure, role-play, formatting control, context and constraints, style mirroring, error correction, chain of thought, nested complexity, perspectives, image and vision, OCR, voice and agent modes, study mode, data analysis, templates and a master integration prompt.

What you'll learn

  • Structure prompts with roles, formats and constraints
  • Correct errors without starting over
  • Use chain of thought, nesting and perspective switching
  • Use image, vision, OCR, voice and agent modes
  • Analyse data and build templates
  • Write a master integration prompt

Chapters

13 chapters · 22:28
  1. 2:15 01Beginner Members Basic structure Why most prompts are poor and a basic structure.
  2. 1:53 02Beginner Members Role-playing AI as a master actor.
  3. 1:48 03Beginner Members Formatting control Controlling output format.
  4. 1:24 04Intermediate Members Context, constraints and style Adding constraints and mirroring styles.
  5. 1:26 05Intermediate Members Error correction Guiding the AI instead of starting over.
  6. 1:06 06Advanced Members Chain of thought Forcing step-by-step thinking.
  7. 1:38 07Advanced Members Nested complexity and perspectives Multi-level structure and switching viewpoints.
  8. 1:32 08Multimodal Members Image generation and vision Detailed image prompts and analysing images.
  9. 1:28 09Multimodal Members OCR and voice mode Extracting data from screenshots and voice conversations.
  10. 1:37 10Expert Members Agent and study modes Agent automation and study mode.
  11. 1:35 11Expert Members Data analysis and creative combinations Analysing sales data and combining capabilities.
  12. 1:33 12Expert Members Templates and complex problems Building template systems.
  13. 3:13 13Expert Members The master integration prompt One prompt addressing interconnected challenges.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.