Advanced Prompting Techniques
By the end of this course, learners should be able to explain Lesson 1: How large language models respond
Unlock your potential with this carefully crafted course on Advanced Prompting Techniques. We've distilled years of industry experience into actionable lessons that you can apply immediately.
This course covers both theoretical foundations and practical applications. Each module builds on the previous one, ensuring a smooth learning journey.
Perfect for self-learners and professionals seeking to expand their skillset in the growing African tech ecosystem.
What you will learn
- By the end of this course, learners should be able to explain Lesson 1: How large language models respond
- By the end of this course, learners should be able to explain Lesson 2: Write clear task prompts
- By the end of this course, learners should be able to explain Lesson 3: Add context and constraints
- By the end of this course, learners should be able to explain Lesson 1: Design a reusable prompt template
- By the end of this course, learners should be able to explain Lesson 2: Chain prompts for multi-step work
Skills you will develop
AI literacy · Generative AI · Prompt design
Skills you’ll develop
Course completion demonstrates these skills. Verification requires assessment or reviewed challenge work.
What you will build and prove
- Practice: Practice: Lesson 1: How large language models respond
- Project: Apply Advanced Prompting Techniques
- Quiz: Lesson 1: How large language models respond check (pass 70%)
- Final assessment: Advanced Prompting Techniques — course assessment (pass 70%)
Course journey
How this free course is structured — watch, practise, and progress module by module.
- Introduction & Setup
- Core Concepts
- Hands-On Practice
- Intermediate Techniques
- Advanced Topics
Practice
1 optional practice exercise — apply what you learned. Practice is not required to complete the course.
Assessment
- Lesson 1: How large language models respond check · pass mark 70%
- Advanced Prompting Techniques — course assessment · pass mark 70%
Prove
Course completion means finishing required lessons , and the course assessment . That grants a certificate of completion — not a professional certification. Optional practice does not block completion.
Curriculum
Week 1: Introduction & Setup
- Lesson 1: How large language models respond Preview Practice 23min
- Lesson 2: Write clear task prompts Preview 14min
- Lesson 3: Add context and constraints 18min
Week 2: Core Concepts
- Lesson 1: Design a reusable prompt template 23min
- Lesson 2: Chain prompts for multi-step work 13min
- Lesson 3: Reduce hallucinations with checks 10min
Week 3: Hands-On Practice
- Lesson 1: Design a reusable prompt template 24min
- Lesson 2: Chain prompts for multi-step work 14min
- Lesson 3: Reduce hallucinations with checks 15min
Week 4: Intermediate Techniques
- Lesson 1: Design a reusable prompt template 9min
- Lesson 2: Chain prompts for multi-step work 15min
- Lesson 3: Reduce hallucinations with checks 15min
- Lesson 4: Build a prompt library 22min
- Lesson 5: Measure cost and latency 11min
Week 5: Advanced Topics
- Lesson 1: Design a reusable prompt template 15min
- Lesson 2: Chain prompts for multi-step work 9min
- Lesson 3: Reduce hallucinations with checks 9min
- Lesson 4: Build a prompt library 16min
Free to enroll — no purchase required.
Instructor: Africoders
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