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£30K average
Average starting salary for graduates
AI Engineer
Explore the programme
Our AI Engineer Traineeship gets you job-ready in just a few months, through our proven 5-step training path.
Study 100% online with the flexibility to learn around your lifestyle - ideal for full-time, part-time, or unemployed learners.
Entry-level AI roles typically start at £30K, increasing to £50K+ within just a few years.
Our expert recruitment team works only with our graduates to secure your dream role through our UK-wide partnerships.
If you don’t receive a job offer within 12 weeks of completing your studies, we will refund 100% of your course fees.
Each stage is purpose-built: build strong foundations first, apply them in practical work, validate your capability, and move into recruitment support with a clear pathway.
Step 1
Begin with a beginner-friendly AI mini-course bundle delivered through your online learning portal.
Step 2
Build the core technical skills needed for AI engineering through interactive training and practical work.
Step 3
Prepare for the AI-900: Microsoft Azure AI Fundamentals certification to validate your understanding of AI, machine learning and Azure AI services.
Step 4
Put your skills into practice through two hands-on, industry-based projects set by your personal tutor.
Step 5
Work with a dedicated Recruitment Mentor who will tailor your CV, prepare you for interviews and help source suitable AI roles.
Core AI modules plus certification and deployment
Core Training Foundation
Master the language of AI. This module teaches you how to code with Python - the most widely used language in artificial intelligence. You'll learn key programming concepts, data structures, and libraries like NumPy and Pandas that are essential for building AI solutions.
Core Training Module
Build smart, self-improving systems. Explore the core algorithms and principles behind machine learning. You'll learn about supervised and unsupervised learning, model evaluation, and how to train predictive models using real-world datasets.
Core Training Module
Turn raw data into AI-ready insights. Learn how to collect, clean, and prepare data for analysis. This module covers data wrangling, transformation techniques, and working with structured and unstructured data - a critical step before building any machine learning model.
Advanced Training Module
Unlock the power of advanced AI. Delve into the architecture and function of neural networks, including convolutional (CNNs) and recurrent networks (RNNs). You'll gain hands-on experience using frameworks like TensorFlow or PyTorch to build powerful deep learning models.
Advanced Training Module
Teach machines to understand human language. Discover how AI interprets and generates text. This module covers sentiment analysis, text classification, and modern language models like BERT, enabling you to build applications such as chatbots or content analyzers.
Advanced Training Module
Give AI the ability to see and interpret images. Learn how to develop systems that can analyze and understand visual data. You'll work on image classification, object detection, and facial recognition using tools like OpenCV and deep learning techniques.
Professional Practice
Collaborate, manage, and track your code like a pro. Master the tools used by every professional AI engineer. This module covers version control using Git and GitHub, allowing you to collaborate effectively, manage your codebase, and maintain project history.
Certification & Validation
This certification is designed for individuals seeking to validate their understanding of core artificial intelligence (AI) and machine learning (ML) concepts, as well as their implementation through Microsoft Azure services. This certification covers the principles of AI, its real-world applications, and the key Azure AI tools used to bring intelligent solutions to life.
Deployment & Operations
Take your AI models from lab to production. Understand how to deploy AI models into real-world applications using APIs, containers (like Docker), and cloud services. This module also introduces MLOps practices for monitoring, scaling, and managing AI solutions efficiently.
Expert support that keeps your progress practical and focused
Specialist tutor
Following my career as a Systems Developer, AI Engineer, Solutions Architect & Technical Architect I now oversee and mentor students as they move from theory to practice, from coding to system development through the assignment of formal system specifications. The students design and build solutions to standards in preparation for their career as commercial systems developers.
Your recruitment phase is delivered as a guided process, with clear actions at each stage so you can move from training into real role outcomes with confidence.
Open each stage to review exactly what support is included.
Our CV review service ensures you make a strong first impression from the outset. Your CV is professionally rebuilt and tailored specifically for AI and technology employers, highlighting your new skills, certification, project work and transferable experience.
We focus on aligning your CV with what employers are actively looking for, helping you stand out in a crowded market and improving your chances of securing interviews and progressing through the recruitment process quickly.
The consultation sets the foundation for a successful start to your recruitment journey. You begin with a dedicated consultation so we can understand your goals, experience and preferred direction, allowing us to identify the most suitable opportunities for you.
From there, we create a clear, structured recruitment plan so your applications are targeted, relevant and competitive, giving you the strongest possible chance of securing your first AI role quickly and confidently.
Our recruitment team will support you throughout the process, ensuring you feel confident and prepared. From targeted job searching to interview preparation, we help you navigate each stage with greater clarity and less guesswork.
We work with a wide range of employers across the UK and help you position your certification, project work and technical story in a way that gives you the best chance of securing a role quickly and successfully.
Once you have completed all of the mandatory training, including the online courses, practical projects, assignments and quizzes, we will support you into an AI Engineer role where the average starting salary of £30,000+.
We have partnered with organisations strategically located throughout the UK, giving our candidates nationwide reach and a stronger spread of opportunity. If the published placement terms are not met, we will refund 100% of your course fees in line with the programme terms.
Prospective Role
A project-led role focused on building, refining and supporting AI-driven solutions for real business needs.
Read moreAs an AI Engineer, you will work across a diverse range of projects, collaborating with internal teams and external stakeholders. This role blends technical development with problem-solving and innovation, requiring a strong understanding of AI tools, workflows and delivery standards.
You will be responsible for translating business requirements into intelligent solutions, developing and testing AI models, and communicating your work clearly and professionally to both technical and non-technical audiences.
Organisations our students have gone on to work with
We've got you covered. Under our job guarantee, we'll place you into an AI role within 12 weeks of completing your Traineeship, within 20 miles of your home and with an average starting salary of £30,000. If we're unable to do so, we'll refund all your course fees within 10 working days - no hassle, no questions.
Secure a role close to home. We guarantee job opportunities within 20 miles, so you will not need to relocate.
Step into a high-paying career, with our graduates earning £30,000+ on average in their first role.
After completing your training, we have a 12-week recruitment window to secure your new role.
No job? No risk. If we cannot get you into a role within 12 weeks, your course fees will be refunded within 10 days.
We're committed to helping you launch a successful career - or your money back.
See what a typical day looks like for our Traineeship graduates as they build confidence and grow in their new careers.
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Thousands of learners have used IT Career Switch to build skills, gain confidence and move into a new role. Here are a few of the people who made that transition.
Straightforward answers to the questions most people ask before committing to an AI career-change route.
Yes. Practical project work is a core part of the route, not an optional extra. You will apply what you learn through hands-on tasks and industry-based projects designed to strengthen both confidence and employability.
These projects also give you more credible portfolio talking points when you begin speaking to employers about your transition into AI.
Many learners target an entry AI Engineer opportunity first, then build commercial experience before progressing into more specialist roles.
Over time, progression can include pathways such as:
We continue to support your progression by helping you position your skills, certification and project work for the next stage of your AI career.
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