A Day In The Life: AI Specialist

This course gives students a clear, real-world look at careers connected to Artificial Intelligence. It explores how AI is used in everyday business, the types of jobs in the field, the skills that matter, and realistic routes into the industry, helping learners decide if this fast-growing career area could suit them.

Course Description

Artificial Intelligence is already changing how businesses work, but what does that actually mean as a career? This course gives students a practical, realistic look at the world of AI work through the lens of an AI specialist in a modern workplace.

Across 10 modules, students explore how AI is used in real companies, the tools businesses rely on, and how AI supports decision-making rather than replacing people. The course also looks at teamwork, responsibility, and what happens when AI is misunderstood or used poorly. A full project example shows how AI can solve everyday business problems step by step.

Students then zoom out to discover the wide range of careers connected to AI, from technical and data roles to business, design, and problem-solving positions. The course finishes by exploring routes into the field, what entry-level work actually looks like, and the personality traits and skills that suit this type of career.

Designed for TY, LCA, and senior cycle students, this course focuses on clarity, critical thinking, and real-world understanding rather than hype, helping learners decide whether working with AI could be a good fit for their future.

Module 1: What is an AI Specialist?

  • How AI specialists turn business problems into practical systems
  • Examples such as sorting enquiries, summarising data and reducing repetitive work
  • Why useful AI must improve decisions without adding confusion

Module 2: How AI is Used in Business

  • Where AI can reduce friction in email, reporting and customer support
  • How AI brings scattered information together and highlights patterns
  • Why people remain responsible for interpreting the output and making decisions

Module 3: Understanding the Problem Before Choosing the AI

  • Why starting with a fashionable tool can produce the wrong solution
  • How specialists map where information enters, moves and creates delays
  • When a wider workflow needs fixing before AI can add value

Module 4: AI Tools and Systems Businesses Actually Use

  • What large language models can do with written information
  • How AI tools connect with databases, automation and reporting systems
  • Why business solutions usually involve a workflow rather than one chatbot

Module 5: Risk, Accuracy and Responsibility

  • How incomplete or misleading outputs can distort important decisions
  • Why testing must reflect the people, data and situations a system will encounter
  • Where human review, clear ownership and escalation protect against mistakes

Module 6: How AI Changes How People Work Together

  • How roles and routines change when AI takes on part of a process
  • Why teams need to understand when to trust, question or override an output
  • How clear communication prevents new tools from creating confusion or extra work

Module 7: One AI Project From Start to Finish

  • How a real business problem is broken into smaller, workable steps
  • The path from understanding the current process to testing a proposed system
  • How feedback and measured results determine whether the solution should expand

Module 8: The Different Jobs Inside AI

  • The technical, data, product, design and business roles behind AI projects
  • How different specialists contribute without all doing the same type of work
  • Why curiosity, communication and problem-solving matter alongside technical ability

Module 9: How People Actually Get Into AI Work

  • The varied routes through technology, data, business and self-directed learning
  • How practical projects can demonstrate ability before a first full-time role
  • Why learning to explain problems clearly is as valuable as knowing particular tools

Module 10: Is This Career Right for You?

  • The appeal of solving unclear problems in a fast-changing field
  • The responsibility of checking details and questioning confident-looking outputs
  • The mix of patience, curiosity and collaboration that the work demands
Duration
1 Hour
Lessons
10 modules
Format
Video, text
Certification
Yes
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