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Artificial Intelligence · Programming · Introductory

Coding for AI & Automation (Introductory Level)

See how ordinary programming becomes the glue behind AI and automation. Learners use code to structure tasks, process information and connect decisions into repeatable digital workflows.

COURSE OVERVIEW

What this course develops

See how ordinary programming becomes the glue behind AI and automation. Learners use code to structure tasks, process information and connect decisions into repeatable digital workflows.

Course content

01

What automation actually means

Identify repeatable tasks, triggers, inputs, decisions and outputs before choosing a technical solution.

02

Coding foundations for automation

Use variables, conditions, loops and functions as building blocks for repeatable workflows.

03

Working with structured information

Read, transform and produce information in formats commonly used by automated processes.

04

Rules vs AI

Distinguish deterministic automation from tasks where AI may be appropriate.

05

Using AI outputs safely

Treat AI-generated information as an input that may require validation, constraints and human review.

06

Workflow design

Map a process and identify where code, AI and human approval belong.

07

Failure handling

Plan for missing data, unexpected responses and conditions that should stop an automated process.

08

Automation mini-project

Design and build an introductory coded workflow with a clear purpose and review process.

Learning outcomes

  • Understand how programming supports automation.
  • Use core coding logic in automated workflows.
  • Distinguish rule-based automation from AI-assisted tasks.
  • Design human validation into an AI workflow.
  • Complete an introductory automation project.

Teaching approach

Teaching is live and tutor-led. Concepts are explained, demonstrated and then applied through guided exercises. Learners are expected to make decisions, attempt tasks, test their work and discuss errors rather than simply watch a completed solution.

Delivery options

This course can be delivered online. In-person delivery can also be requested and is subject to location, tutor availability, programme scheduling and any equipment or venue requirements.

Who it is for

This is a introductory course suitable for learners who want structured development in artificial intelligence · programming. If you are unsure whether the starting level is right, use the application form to describe your current experience and we can review the request.

MDIA BOOST YOUR CODING · CATALOGUE LISTED

This Data Science Malta course is listed in MDIA's Boost Your Coding Catalogue.

Coding for AI & Automation (Introductory Level) appears in the current Boost Your Coding Catalogue published by the Malta Digital Innovation Authority (MDIA). The scheme is designed to help individuals aged 16 and over undertake basic or introductory coding training.

Funding supportUp to €1,000
Eligible age16+
CompletionMinimum 70%
Current scheme periodTo 30 Sep 2026*

MDIA states that eligible individuals may receive 100% of eligible course fees up to a maximum of €1,000 per individual. For courses already listed in the catalogue, applicants should apply for confirmation of financial support at least one month before the course starts. Following successful completion, the funding claim must be submitted within the timeframe established by MDIA.

Data Science Malta can provide the relevant course and completion/attendance documentation required from the training provider where applicable. Funding is administered by MDIA: approval, eligibility and reimbursement are not determined by Data Science Malta.

*The current MDIA guidelines state that the initiative remains in effect until 30 September 2026, contingent upon availability of funds. Applicants should always check the latest MDIA conditions before enrolling or relying on reimbursement.

COURSE APPLICATION

Apply for Coding for AI & Automation (Introductory Level).

Complete the form below without leaving this page. Your application will be emailed directly to Data Science Malta with this course already identified.

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