Prompt Engineering Basics
By the end of this course, learners should be able to explain Lesson 1: How large language models respond
This comprehensive course will take you from beginner to confident practitioner in Prompt Engineering Basics. You'll learn industry-standard techniques and best practices used by professionals worldwide.
Through hands-on projects and real-world examples, you'll gain the skills needed to succeed in today's competitive tech landscape. Our curriculum is designed by industry experts with years of experience.
By the end of this course, you'll have a portfolio of projects to showcase your abilities and the confidence to apply your knowledge in professional settings.
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 4: Few-shot examples that work
- By the end of this course, learners should be able to explain Lesson 1: Design a reusable prompt template
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 Prompt Engineering Basics
- Quiz: Lesson 1: How large language models respond check (pass 70%)
- Final assessment: Prompt Engineering Basics — 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%
- Prompt Engineering Basics — 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 20min
- Lesson 2: Write clear task prompts Preview 20min
- Lesson 3: Add context and constraints 25min
- Lesson 4: Few-shot examples that work 15min
Week 2: Core Concepts
- Lesson 1: Design a reusable prompt template 13min
- Lesson 2: Chain prompts for multi-step work 8min
- Lesson 3: Reduce hallucinations with checks 24min
- Lesson 4: Build a prompt library 19min
- Lesson 5: Measure cost and latency 9min
- Lesson 6: Ship an AI-assisted workflow 14min
Week 3: Hands-On Practice
- Lesson 1: Design a reusable prompt template 10min
- Lesson 2: Chain prompts for multi-step work 10min
- Lesson 3: Reduce hallucinations with checks 25min
Week 4: Intermediate Techniques
- Lesson 1: Design a reusable prompt template 14min
- Lesson 2: Chain prompts for multi-step work 19min
- Lesson 3: Reduce hallucinations with checks 24min
- Lesson 4: Build a prompt library 10min
- Lesson 5: Measure cost and latency 11min
Week 5: Advanced Topics
- Lesson 1: Design a reusable prompt template 11min
- Lesson 2: Chain prompts for multi-step work 24min
- Lesson 3: Reduce hallucinations with checks 19min
- Lesson 4: Build a prompt library 18min
Free to enroll — no purchase required.
Instructor: Africoders
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