Prompt Engineering Essentials
Move learners from casual prompting to systematic prompting: structuring instructions, providing context, controlling format, iterating with evaluation in mind, and knowing when prompting alone is the wrong tool. Every technique is drilled against live models with before/after comparisons.
What this course covers.
5 modules, 35 named skill atoms. Expand any module to see them.
1How Models Read Prompts7 skill atoms
2Core Techniques7 skill atoms
3Reliability Patterns7 skill atoms
4Iteration & Evaluation7 skill atoms
5Limits of Prompting7 skill atoms
AI-106 in the role journeys.
This course appears in 10 of our 45 role journeys. Here is what a learner takes immediately before and after it in each.
Roles this course serves
This course is authored to band B2.
Every course we run is written to one rung of the CASI ladder, so a plan can be assembled to take a team from where they are to where they need to be.
What do B1–B6 mean?The CASI Capability Ladder — click to expand
Every course targets a band on the CASI Capability Ladder — our six-band proficiency scale, anchored to open standards (O*NET, ESCO, NICE, NIST AI RMF, Bloom's). A band tells you how deep a course goes, and what evidence proves it.
A note on B6. Courses in this catalog target B1–B5. B6 is not taught — it is recognised, through a portfolio and a panel, once someone is setting direction for others. Every journey here is built to land a learner at B5.
Other AI courses at this level.
Python for AI Engineering
Mathematics & Statistics for Machine Learning
Data Wrangling & EDA with pandas
SQL & Data Foundations for AI Teams
Generative AI Foundations
Visualization & Data Storytelling
Run AI-106 for your team.
This course runs at several lengths depending on how deep you need to go and how much of it your people already have. Tell us who is being trained and we will scope it.