Course 3.13 · Curriculum 2026.1
Vision, documents, and the confidently wrong answer
Read an image or a document without inventing what is not on it. A blank business card once produced a confident name and a confident company, and that single incident is the reason every rule in this course exists.
- Estimated effort
- 3 hr
- Lessons
- 26
- Modules
- 5
- Material
- 3 hr
Estimated effort is the sum of the lesson and lab times in this version of the course. It is not video runtime, which is lower.
Canadian dollars. One learner, lifetime access to this course version. Tax extra.
1 lesson free to preview
This course does not issue a certificate on its own. It counts toward the paths listed below, and those do.
01What you will learn
6 capabilities, stated as things you can do
Each one is what you should be able to do at the end, not what the course covers. If an outcome is not testable, it is not an outcome.
- Force image reading through a real vision call, rather than a chat window that may never receive the pixels.
- Set temperature to zero against a strict schema, and say what each of those two buys you.
- Design a schema whose fields can come back null, so absence is representable.
- Catch a confident fabrication by requiring the evidence span beside the value.
- Route a low-confidence extraction to a human queue instead of to a record.
- State the rule out loud: a confident wrong answer is far worse than "I could not read that".
02Curriculum
5 modules, 26 lessons
Every lesson shows its length and its type. A SCORM lesson looks like any other lesson, which is the point of ingesting packages rather than linking out to them.
5 modules · 26 lessons · 3 hr of material
A blank business card once produced a fully fabricated name and company. The incident that every rule in this course traces back to.
- VideoA blank business card, and the name it confidently inventedPreview6 min
- VideoWhy the model answered at all, when there was nothing to read6 min
- VideoThe agent does not reliably receive full-resolution pixels6 min
- ReadingWhat “confidently wrong” costs against “I could not read that”5 min
- VideoThe standing rule this incident produced5 min
Never transcribe a pasted image by looking at it. Card and document reading is forced through a real vision call at temperature zero.
- VideoNever transcribe a pasted image by looking at it6 min
- VideoTemperature zero, and what it buys you6 min
- VideoA strict JSON schema, and what it buys you separately6 min
- ReadingTwo guardrails, two different jobs: determinism and shape5 min
- LabLab: force a card read through a real vision call17 min
A schema whose fields can come back null, so absence is representable, and an evidence span beside every value so a fabrication has nowhere to hide.
- VideoDesigning a schema whose fields can come back null6 min
- VideoWhy “unknown” has to be a valid answer, not a missing one6 min
- VideoRequiring an evidence span beside each value6 min
- VideoCatching a fabrication because the evidence span does not exist6 min
- ReadingA schema review checklist for vision output5 min
- LabLab: build a nullable schema and reject an answer with no evidence15 min
A low-confidence extraction goes to a human queue, never to a record. And one document type is blocked from upload entirely.
- VideoRouting a low-confidence extraction to a human queue instead of a record6 min
- VideoBlocking upload entirely for one document type6 min
- VideoRouting a blocked document to a single address instead6 min
- ReadingDeciding which document types get blocked before the first upload5 min
- LabLab: build the confidentiality guard and prove it blocks15 min
Comparing a declared address and time against a GPS trail, surfaced as a correction banner rather than a silent overwrite.
- VideoComparing a declared address and time against a GPS trail6 min
- VideoHaversine distance, and the plus-or-minus 60 minute window6 min
- VideoA correction banner with an apply-GPS-time action6 min
- ReadingFive cases verified end to end, and what each one caught5 min
- QuizCheck: vision and the confidently wrong answer7 min
03Before you start
What you need first
Assumed knowledge and setup
- Course 3.6. Output validation is the backstop for everything here.
- A model endpoint with a vision path. The stub from course 3.4 carries one.
- Sample documents are supplied, including the blank card.
Courses that come first
- 3.6 · Validating model output before it touches a record4 hr · Advanced
Part of these paths
- The Full StackShareCo Certified Platform Engineer
04Who teaches it
Elliot Saha
Co-founder, Chief Technology Officer
Platform architecture, custom Apex and Lightning Web Components, AI systems, and the Academy platform itself.
05Reviews
No learner reviews yet
This course has not been taken by enough people to publish an honest rating, and we will not print invented quotes on a page that sells verification discipline. Here is what we can evidence instead.
- Assessment
- Lesson checks onlyThis course carries lesson checks. The certificate is issued by the path assessment, not by this course.
- Curriculum version
- 2026.1You enrol into a version. Content changes do not move you mid-course, and your required-lesson count is snapshotted at enrollment.
- Refunds
- 14 daysFull refund within 14 days if you have completed under a quarter of the required lessons. Stated here rather than in a footer.
Start 3.13
Enrol as an individual, or buy seats and assign this course to your team. Progress is reported per lesson, per module and per path.
- 3 hr estimated effort, labs included
- Lifetime access to the version you enrol in
- A ShareCo certificate is not a Salesforce certification