AI Engineer Traineeship
Guaranteed Job in AI or 100% of your course fees back
- Price: £990 or £149 first payment and 10 monthly interest free payments of £104.30
- Study time: 6-12 months
- Salary: £25k – £45k
Start A Career In AI Today
Our fully online AI Traineeship is a flexible and cost-effective pathway into a high-growth tech career. Designed to fit around your lifestyle, the programme is structured into four clear steps, guiding you from foundational skills to job readiness as a certified AI Engineer.
Whether you’re working full-time, part-time, or currently between jobs, our self-paced online learning format allows you to train when it suits you best — from anywhere.
Once your training is complete, our dedicated recruitment team steps in. They work exclusively with our graduates on a one-to-one basis, actively sourcing interviews through our nationwide network of hiring partners. We take a hands-on, proactive approach to help you secure the right role — fast.
We also offer the industry’s strongest guarantee:
If you don’t receive a job offer within 12 weeks of successfully completing the programme, we’ll refund 100% of your course fees.
With our proven job placement support and money-back promise, this AI Traineeship is the smart, secure way to launch your future in artificial intelligence.
Success stories
I started the traineeship after finishing my mathematics degree and was looking to develop some skills over the lockdown that would help me enter a career as a web developer.
IT was always my passion and when I finally decided to pursue it I needed help in determining which way to go, what courses to take and of course which certs to gain. I now work as a cybersecurity analyst, and my role is very diverse, from monitoring the systems to project work.
I have previous work experience in engineering and a degree in graphic design I wanted to start a new career in which my skills would be transferable. Software development was the perfect role for me.
I started the Traineeship as I was feeling more and more dissatisfied with my previous job as a teacher. I secured a junior project management position with an EV charging company, It’s an exciting role, not only because it’s my first project management role but because it is in an evolving industry. There are plenty of opportunities to apply the knowledge gained from the traineeship.
After being made redundant from my sales job because of corona virus, I decided to enrol with IT Career Switch to endeavour on a career doing something I’m interested in which is coding.
I started the traineeship because I saw IT as a reliable and rewarding career. I also wanted a skill which would allow me to be creative and take initiative on my own projects, but also work collaboratively with other like-minded people.
So I reach the glass ceiling in the physical security industry and it no longer aligned with my career goals. IT career switch gave me the opportunity I needed when I had no real clue about how to start. I landed my first IT role as a Cyber security analyst, working in a great environment where they help me grow as a cyber professional building upon the foundations of IT career switch gave me.
In my previous role as a digital marketer I was always speaking to developers and involved on website projects. When I started to learn a bit more about websites and started to do …
I am now working as a project manager in the manufacturing industry. I am currently working on a few international projects as well as leading my first project already which is something amazing to do.
Traineeship overview
The training program is broken down into 4 easy steps:
In this stage, you’ll dive into the essential modules that form the backbone of a career in AI engineering. You’ll develop hands-on expertise in key subjects including:
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Python Programming
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Data Handling & Processing
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Machine Learning
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Version Control with Git & GitHub
These subjects are taught through interactive lessons and practical exercises designed to solidify your understanding.
What sets this step apart is its strong focus on real-world application. You’ll complete a series of mini projects that challenge you to apply your new skills as you learn — building both confidence and competence.
By the end of Step 2, you’ll be well-prepared for the independent project work in Step 4. To mark your progress, you’ll complete a short online multiple-choice exam to demonstrate your grasp of the material before advancing to Step 3.
The AI-900: Microsoft Azure AI Fundamentals 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. Upon completion, participants will be prepared to sit the AI-900: Azure AI Fundamentals exam.
With your theory training and official exams complete, it’s time to put your knowledge into action. You’ll be assigned two hands-on, industry-based projects by your personal tutor. These practical assignments are the most impactful part of your AI traineeship — designed to demonstrate to employers that you have the real-world skills needed to thrive in a data science or AI role.
Each project is built around real-life scenarios, giving you the opportunity to apply everything you’ve learned — from data handling and machine learning to model deployment and version control.
Throughout this phase, you’ll receive ongoing one-on-one support from your dedicated tutor to guide you through any challenges and ensure your success. Once both projects are completed and officially approved, you’ll have successfully finished your traineeship and be fully prepared to progress to the recruitment and job placement stage.
Begin your path into the world of AI with our specially curated mini-course bundle, designed for absolute beginners. You’ll gain a solid foundation through a mix of engaging video tutorials, interactive presentations, and quizzes — all accessible via our user-friendly online learning portal, so you can study anytime, anywhere.
No prior experience? No problem. This introductory phase is crafted to ensure you build the essential knowledge needed to confidently move on to our comprehensive Full-Stack AI training, which forms the core of your traineeship.
Begin your path into the world of AI with our specially curated mini-course bundle, designed for absolute beginners. You’ll gain a solid foundation through a mix of engaging video tutorials, interactive presentations, and quizzes — all accessible via our user-friendly online learning portal, so you can study anytime, anywhere.
No prior experience? No problem. This introductory phase is crafted to ensure you build the essential knowledge needed to confidently move on to our comprehensive Full-Stack AI training, which forms the core of your traineeship.
In this stage, you’ll dive into the essential modules that form the backbone of a career in AI engineering. You’ll develop hands-on expertise in key subjects including:
-
Python Programming
-
Data Handling & Processing
-
Machine Learning
-
Version Control with Git & GitHub
These subjects are taught through interactive lessons and practical exercises designed to solidify your understanding.
What sets this step apart is its strong focus on real-world application. You’ll complete a series of mini projects that challenge you to apply your new skills as you learn — building both confidence and competence.
By the end of Step 2, you’ll be well-prepared for the independent project work in Step 4. To mark your progress, you’ll complete a short online multiple-choice exam to demonstrate your grasp of the material before advancing to Step 3.
AI-900: Microsoft Azure AI Fundamentals 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. Upon completion, participants will be prepared to sit the AI-900: Azure AI Fundamentals exam.
With your theory training and official exams complete, it’s time to put your knowledge into action. You’ll be assigned two hands-on, industry-based projects by your personal tutor. These practical assignments are the most impactful part of your AI traineeship — designed to demonstrate to employers that you have the real-world skills needed to thrive in a data science or AI role.
Each project is built around real-life scenarios, giving you the opportunity to apply everything you’ve learned — from data handling and machine learning to model deployment and version control.
Throughout this phase, you’ll receive ongoing one-on-one support from your dedicated tutor to guide you through any challenges and ensure your success. Once both projects are completed and officially approved, you’ll have successfully finished your traineeship and be fully prepared to progress to the recruitment and job placement stage.
Course outline
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.
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.
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.
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.
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.
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.
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..
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.
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
Meet your tutor
Recruitment
Our specialist recruitment team will work with you on a one-to-one basis to place you into your new AI Engineer role.
recruitment period
After completing your training, you’ll be partnered with a dedicated recruitment consultant who will guide you through every step of launching your new AI career.
Your CV will be professionally restructured, updated, and customised to align with roles in the AI industry — making sure you stand out to employers.
From there, your consultant will actively connect you with job opportunities through our extensive network of hiring partners and leading tech companies. You’ll also receive expert interview preparation and coaching, giving you the confidence to excel throughout the recruitment process.
Most of our students secure roles within just 4 weeks of completing the programme.
Guarantee
Our Job Guarantee – Your Success is Our Promise
We’re fully committed to your career success. That’s why our Job Guarantee ensures you’ll be placed into an AI Engineer role within 12 weeks of completing your traineeship.
Your job offer will be located within 20 miles of your home and come with a starting salary between £25,000 and £45,000.
And if we’re unable to make that happen?
We’ll refund your entire course fee within 10 working days.
Example Job
AI Engineer
Job Overview
As an AI Engineer, you will work across a diverse range of projects, collaborating with internal teams and external clients. This role blends technical development with problem-solving and innovation, requiring a strong understanding of AI tools and methodologies. You will be responsible for translating business requirements into intelligent solutions, developing and testing AI models, and presenting your work clearly and professionally to stakeholders.
Duties and Responsibilities
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Collaborate with senior AI engineers and data scientists to design, develop, and deploy intelligent systems and AI-driven solutions
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Support the identification of key business problems and contribute to the creation of AI-based approaches aligned with strategic goals
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Translate business objectives into clear technical specifications for AI implementation
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Work with large, complex, and often unstructured datasets to extract insights and prepare data for training AI models
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Build, train, and fine-tune machine learning and deep learning models, ensuring optimal performance and accuracy
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Prepare high-quality training datasets in accordance with industry standards and best practices
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Assist in evaluating model performance and iterating to improve results using techniques such as hyperparameter tuning and cross-validation
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Write and maintain internal documentation for AI models, processes, and deployment strategies
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Participate in client-facing discussions and presentations, helping communicate AI concepts and outcomes effectively
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Collaborate closely with software engineers and DevOps teams to ensure robust, scalable infrastructure and clean, production-ready code
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Maintain clear, professional communication across technical and non-technical stakeholders, ensuring transparency and alignment throughout the development lifecycle
Companies
Our graduates now work with
Why choose us?
What do we provide?
- Industry recognised AI courses
- Practical Projects
- Official Certifcation
- Expert Tutor Support
- CV Rebuild
- £25K-£45K Job Guarantee within 20 miles of your home location
- 100% of your course fees back if you’re not placed into a role
- 1 years unlimited access
Why choose AI?
- One of the fastest growing industries in the UK
- Average starting salary of £30K
- Fantastic career opportunities
- A career for life
- Opportunities to work from home
- Over 1000’s of vacancies in the UK
- Salaries increasing 12% per year
- Average salary after 5 years is £75K
What salary you can expect?
- Junior AI Engineer – £30,000
- AI Engineer – £40,000
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Senior AI Engineer – £50,000
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Machine Learning Engineer – £55,000
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AI Architect – £65,000
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Principal AI Engineer – £75,000+
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AI Consultant – £85,000+
Book Your AI Engineer Traineeship
Only £990
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