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Seaggle Academy

AI & Automation

Design and build a governed AI-enabled workflow or assistant.

Prerequisite: Programming or data fundamentals, depending on the level you enter at

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Fit

Who this suits — and who it does not

An honest answer here saves everyone time. If this is the wrong pathway for you, we would rather say so before you enrol.

This is built for you if

  • You can already write code and want to apply it to AI systems
  • You are moving into AI work from software, data, or analytics
  • You want to understand evaluation and controls, not only prompting

Consider something else if

  • You have not written code before — start with a fundamentals pathway first
  • You are looking for a theory-first or research-oriented course

Outcomes

What you should be able to demonstrate

Written as capabilities you can show or explain, because that is what an interview actually tests.

  • 01Explain how retrieval, permissions, and evaluation fit together in a working system
  • 02Build a workflow where a human approves consequential actions
  • 03Define quality criteria and test a system against representative cases
  • 04Describe the failure modes of your own build and how you handled them

Curriculum

The themes the pathway moves through

Sequenced in the order the work requires them. The week-by-week breakdown is confirmed with the program details before you enrol.

  • 01

    Workflow and problem framing

    Choosing work that is genuinely suited to automation

  • 02

    Retrieval and knowledge

    Chunking, search, ranking, and citation

  • 03

    Permissions and boundaries

    Enforcing access at retrieval rather than in a prompt

  • 04

    Human checkpoints

    Designing approval steps and confidence thresholds

  • 05

    Evaluation

    Building a test set and measuring change rather than guessing

  • 06

    Operation

    Monitoring quality, cost, and latency after launch

Project

What you build, and what you leave with

The project is the point. It is the thing you will be asked about in an interview.

Representative project

Permission-aware knowledge or operations assistant

Build an assistant that answers from a defined body of knowledge, respects who is allowed to see what, cites its sources, and routes low-confidence cases to a person instead of guessing.

Representative example

Representative example. This illustrates how Seaggle approaches the work; it is not a verified client or learner result.

Before you enrol

The details we confirm with you directly

These vary by cohort. Rather than publish figures that may change, we confirm them in writing before you commit anything.

  • Learning format

    Confirmed with you before enrolment

  • Duration

    Confirmed with you before enrolment

  • Weekly commitment

    Confirmed with you before enrolment

  • Next cohort

    Confirmed with you before enrolment

  • Price and payment terms

    Confirmed with you before enrolment

  • Mentor

    Confirmed with you before enrolment

Please note

Completing or purchasing an Academy program does not guarantee employment, an interview, a placement, an employer introduction, a salary, or a timeline.

Completing or purchasing an Academy program does not automatically qualify a person for the Talent Network. Talent Network eligibility requires a separate, independent role-aligned assessment.

Get in touch

Ask about the AI & Automation pathway

Tell us where you are technically and what you are aiming at. An advisor will confirm whether this pathway fits before anything else.

What happens next

  1. 1. We confirm we have received your inquiry.
  2. 2. An advisor reviews whether this pathway suits your current level and goal.
  3. 3. We arrange a short conversation, including a check against the prerequisite.
  4. 4. You receive the confirmed format, schedule, and price before any commitment.
Read the Academy FAQ first