Title to be announced

This course code is registered. Its title, scope and specification are published when confirmed.

In development · enrolment sequence to be confirmed

LevelPractitioner

PrerequisitesFoundation or equivalent

StatusIn development

SpecificationDraft · not approved

EnrolmentNot yet open

01Overview

The course description is published when the title and scope are confirmed.

Domain scope · AFT

The enabling layer: responsible AI, LLM architecture, prompt engineering, local deployment, fine-tuning with LoRA, PEFT and RLHF, evaluation and RAG. Start here if you are new to AI systems.

Intended for: Anyone new to AI systems before a security or governance domain

02Instructor

TBA

Announced when appointed

Instructors are practitioners appointed against a written standard for the AFT domain.

How faculty are appointed →

03Related courses

In this domain · FoundationOC-RAIResponsible AI

View all 13 planning codes in AI Foundations & Tooling →

Interest registration opens later.

Notification rules and data handling are published before registration opens.

Request a team proposal

Quick factsDraft

Course code	OC-MMAS
Standard ID	Assigned at approval
Domain	AFT · AI Foundations & Tooling
Level	Practitioner
Status	In development
Priority	Enrolment sequence to be confirmed
Prerequisites	OC-RAI or equivalent experience.
Corpus source	—
Duration	To be confirmed
Delivery	To be confirmed
Pricing	To be confirmed
Session dates	To be confirmed
Instructor	Founding cohort — appointment pending
Specification	Draft · not yet issued

Official specification registerOC-MMASSpecification not yet issued

Version —Last reviewed —

This course is in active development. Duration, pricing, session dates and instructor are published when confirmed. Proposed case references, framework references, syllabus, labs and assessment are drafts until the course specification is approved.