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