AI for Business
Transform your existing data into actionable insights and automate repetitive tasks with the help of AI.
~15 months
Level 3 Data Technician
£13,000
What you’ll be able to do
Tools you'll learn
Curriculum
5 Modules · 13 Sprints01Module 12 sprints
01Module 12 sprints
Learn the fundamentals of AI and how to craft effective prompts for optimal outcomes.
Sprint 1: Introduction to AI
Explore the history, different types of AI, and the most popular tools, such as ChatGPT, Perplexity, Gemini, Claude, Cohere AI, and more.
Introduction to AI: Explore the history, different types of AI, and the most popular tools, such as ChatGPT, Perplexity, Gemini, Claude, Cohere AI, and more. Open Source models (e.g., Llama). How to intuitively understand how modern AI works. Learn what the Turing test is.
Living in the AI Era: AI subscriptions, hype vs reality, and the key concepts you need to understand the current landscape.
Inner Workings of AI: How large language models are built, the difference between closed vs open models, and why AI still makes mistakes.
Don't Let AI Overwhelm You: How to tell AI-generated content from human work, and simple ways to keep learning without burnout.
Security First: Using AI responsibly at work, understanding compliance, privacy, and the laws that guide it.
Mindful Approach to AI: Healthy, practical use of AI for work and learning - including psychological impact, wellbeing, and bias awareness.
Sprint 2: Prompting for Best Outcomes
Master prompt engineering and context management for effective AI interactions.
AI Model Landscape: Overview of today's AI models - who builds them, how they differ, and where each one excels.
Prompt Engineering: Writing clear, effective prompts and getting AI to do what you actually intend.
Context Engineering: How context shapes AI output, how and why hallucinations happen, and how to reduce them.
Advanced AI Concepts: Key terminology and deeper model concepts, plus how to design reusable prompt workflows.
02Module 23 sprints
02Module 23 sprints
Apply AI to spreadsheets, no-code automation tools, and Python programming.
Sprint 1: AI for Productivity & Spreadsheets
Explore how AI shows up in everyday tools and master spreadsheets with AI assistance.
AI Products Are Everywhere: How AI shows up in the tools we already use, and how to judge whether AI features actually add value.
AI Productivity Tools: AI assistants for meetings, writing support, grammar checking, and everyday workflow boosts.
Agentic AI & Search: How agent-style AI works, and what makes AI-driven search engines different from traditional search.
Introduction to Spreadsheets: Getting started with Excel, Google Sheets, or Numbers, plus key features most people overlook.
Spreadsheets & Visualisation with AI: Using AI to help build sheets, analyse data, and turn it into meaningful visuals.
Sprint 2: Automations with No-Code Tools
Learn to create workflow automations using no-code AI tools to streamline repetitive tasks.
Getting Started with n8n: What n8n is, who it's for, and how to move confidently around the interface.
AI-powered Automation with n8n: Build an automated email workflow step-by-step using AI within n8n.
Advanced n8n Features: Explore a more complex automation and see how n8n compares to alternatives like Zapier.
No-Code Productivity Web Apps: Learn to create simple web apps using Hostinger Horizons and prompt-based workflows.
Enhancing Your Productivity Web App: Add functionality with Hostinger Horizon integrations, backend features, and explore alternative platforms.
Sprint 3: Python Programming with AI
Learn core programming concepts and write simple scripts using AI assistance.
Familiarising with Coding Environments: Get comfortable working with notebooks, learn the basics of APIs, and recognise when AI becomes overused in coding.
AI as a Coding Assistant: Explore key AI coding assistants and understand "vibe-coding" as a modern development approach.
Limitations of AI-Generated Code: Understand where AI-written code falls short and why human oversight still matters.
Reviewing Your Code: Learn how to deepen your coding knowledge, assess code quality, and evaluate security using AI.
03Module 32 sprints
03Module 32 sprints
Use AI as a SQL database assistant and for generating analytical insights.
Sprint 1: AI as a SQL Database Assistant
Learn the fundamentals of SQL and how databases are structured and used in real projects.
Introduction to SQL & Databases: Learn the fundamentals of SQL and how databases are structured and used in real projects.
Advanced SQL Practices: Analyse queries using natural language, join tables effectively, and use ChatGPT to explain and improve SQL code.
AI Database Assistant Hands-On: Build confidence through a practical exercise using AI to support your workflow.
Sprint 2: AI for Analytical Insights
Learn about cohorts, customer segmentation, churn analysis, retention, A/B testing, and Customer Lifetime Value.
Cohort & Segmentation: Learn what customer cohorts are, how they differ from segments, types of segmentation, and common mistakes to avoid when grouping users.
Churn & Retention: Understand churn and retention rates, and learn how to define and set meaningful retention goals.
A/B Testing: See how A/B testing works in practice and explore commonly used tools.
Customer Lifetime Value: Introduction to CLV, different calculation methods, and how to use CLV to shape long-term business strategy.
04Optional ModulesOptional · 3 sprints
04Optional ModulesOptional · 3 sprints
The optional module lets learners deepen their skills in AI-driven creative production — from generating images and audio to developing polished content and presentations. By building these capabilities internally, organisations can move faster, reduce outsourcing costs, and create professional-grade media at scale. Completing any of these modules also means the learner will automatically qualify for a reduction in off-the-job training (OTJ) hours for the Level 4 Data Analyst Apprenticeship, making future progression more efficient.
Image Generation
Create images using AI, understand how visual models interpret prompts, and learn the limitations and ethical considerations in AI-generated artwork.
Multi-modal AI Tools
Explore voice control, audio generation, and introductory video creation using modern multimodal models.
AI for Communication & Presentation
Use LLMs to draft written content, improve clarity and tone, and build AI-supported presentations that communicate ideas more effectively.
05End Point Assessment (EPA)3 months · 3 topics
05End Point Assessment (EPA)3 months · 3 topics
When the employer, the learner and the Personal Tutor all agree that the learner is ready, they pass through ‘Gateway’. This means the training is completed and the learner registers for their End Point Assessment (EPA). The EPA consists of: - A professional discussion, underpinned by a portfolio of evidence - Scenario Demonstrations with questioning - Learners will be observed by an independent end point assessor completing two scenario demonstrations which will be supplemented by questioning.
Professional discussion with portfolio of evidence
Scenario Demonstrations with questioning
Level 3 Data Technician Apprenticeship Certificate