Certification
Certification: Context Engineering and Structured Prompts
Prove you can use Context engineering in your own job: five written questions made for your work, scored by an AI examiner. Certificate for LinkedIn.
The exam
Take the certification exam
No multiple choice: five written questions about your own job, scored by an AI examiner against the course rubric. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.
What the exam covers
Written questions about your own job, across the 6 chapters
No multiple choice. You tell us your job and a real task; you get five open questions written for that job, such as writing a full prompt with the framework, fixing a weak prompt and choosing the right framework. An AI examiner (DeepSeek) scores each answer against the course rubric and explains the score. Pass with 70% or more.
- 01From prompt to context2:54
- 02Structure with tags and sections2:51
- 03LangGPT and the Prompt Canvas2:44
- 04The right altitude for system prompts2:40
- 05ReAct, tools and agent skills2:35
- 06Structured intent for ambiguous work2:51
About this certification
This certification shows that you can use Context engineering, XML structure, LangGPT, Prompt Canvas in real work, not just recite the letters. It belongs to the course Context Engineering and Structured Prompts.
How the exam works
The exam has no multiple choice. You tell us your job and one real task. You then get five written questions made for that job: write a complete prompt with the framework, fix a weak prompt, choose the right framework for a situation, and explain why a part of the framework matters. An AI examiner (DeepSeek) scores each answer from 0 to 10 against the course rubric and explains the score. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button. You can retake it with new questions.
What you will be able to do
- Curate the right context for AI assistants and agents
- Separate instructions, context, examples, and input with tags
- Build prompts using LangGPT and the Prompt Canvas
- Write system prompts at the right altitude
- Frame agents with goals, tools, and checks
- Apply structured intent to ambiguous recurring tasks