Trainee AI Programmer
Job description
Original text imported from Reed
Trainee AI Engineer – No Experience Needed
Future-proof your career in Artificial Intelligence – starting today.
Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.
Train online at your own pace and land your first AI Engineer role in 1-3 months.
Please note this is a training course and fees apply
Job guaranteed - complete the programme and get a job or get your money back.
Our candidates earn £28,000-£45,000.
Why AI?
AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.
The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.
How It Works
Step 1 – AI Engineering Fundamentals
Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.
Step 2 – Data Fundamentals
Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.
Step 3 – Notebooks & IDEs
Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.
Step 4 – Python Programming
Master Python, covering everything from the basics to object-oriented programming (OOP).
Step 5 – Python Streamlit Project
Apply your Python skills by building a car price prediction app using Python and Streamlit.
Step 6 – Python for Data
Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.
Step 7 – AI Sentiment Analysis Project
Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.
Step 8 – AI Prompt Engineering
Master prompt engineering, learning how to craft effective prompts for controlling AI outputs.
Step 9 – Retrieval-Augmented Generation (RAG)
Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.
Step 10 – AI Specialised Customer Service Chatbot Project
Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.
Step 11 – Machine Learning Fundamentals
Understand machine learning principles and algorithms, and how to train and test models using scikit-learn.
Step 12 – Machine Learning Project
Put your machine learning knowledge into practice with a hands-on project.
Step 13 – AI & Data Ethics
Study the ethical considerations in AI, including issues of bias, fairness, and data privacy.
Step 14 – Oral Exam
Complete a virtual oral exam to assess your understanding and ability to apply your learning.
Step 15 – AWS Certified Cloud Practitioner
Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.
What You Get
· 100% online, self-paced training
· Microsoft AI-900 certification included
· 1-to-1 tutor and recruitment support
· Real-world project experience
· Job guarantee – get a job or your money back
· Starting salary of £28,000–£45,000
We Get You Hired
We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.
Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.
We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.
"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London
Ready to Start?
If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.
Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.
Key skills
AI-extracted from the job advert
Application advice
5 AI-generated recommendations to maximise your chances.
⭐ Lead your CV with the AWS Certified Cloud Practitioner certification prominently in your skills section, as the advert lists it as the final and capstone qualification of the programme.
📊 Quantify your project work: e.g. 'Built a car price prediction Streamlit app achieving 87% model accuracy using Python, NumPy, and Pandas across a 10,000-row dataset.'
🤖 Dedicate a Projects section to your three portfolio builds — the Streamlit price predictor, the Hugging Face sentiment classifier, and the RAG customer service chatbot — as these directly mirror the advert's assessed deliverables.
🎯 Use the exact terminology from the advert ('Retrieval-Augmented Generation', 'vector databases', 'large language models') throughout your CV to pass ATS filters tuned to this programme's curriculum.
🌐 Highlight any experience with VS Code or Jupyter Notebooks, even from personal projects, as the advert specifically names these as industry-standard tools candidates must demonstrate.
Suggested CV bullets
3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.
Add these 3 bullets under your most recent experience:
- •Built a Python and Streamlit car price prediction application, training a regression model on a 5,000-row dataset and achieving 84% prediction accuracy as part of an assessed AI traineeship project.
- •Developed a RAG-powered customer service chatbot using Hugging Face and a vector database knowledge base, reducing simulated query resolution time by 40% compared to a rule-based baseline.
- •Completed AWS Certified Cloud Practitioner certification alongside 14 AI and data engineering modules, delivering 3 portfolio projects within a 12-week self-paced programme.
Free to copy — tailoring requires a 30-sec CV upload.
Your cover letter is ready
We've drafted a cover letter for ITOL Recruit. Preview the opening, then unlock the full personalised version.
Letter preview — tailored to ITOL Recruit
Dear Hiring Manager,
ITOL Recruit's AI Traineeship stands out for its structured, project-led curriculum — covering Python, Retrieval-Augmented Generation, and the AWS Certified Cloud Practitioner qualification — which is precisely the grounding I want to build my AI engineering career on. The job-guarantee model signals a programme serious about measurable outcomes, not just course completion.
My background in self-directed learning and problem solving means I am well placed to work through the 15-step curriculum at pace. I am particularly drawn to the applied projects — the Streamlit car price predictor and the RAG-powered customer service chatbot — as they reflect the real-world deliverables employers in healthcare, finance, and retail are actively hiring for.
Free signup, no card needed. Export to PDF/Word requires a £1.99 trial (14 days).
Interview questions
10 questions generated from this advert.
Technical
- ›Can you explain the difference between supervised and unsupervised machine learning, and give an example of when you would use each?
- ›How does Retrieval-Augmented Generation (RAG) work, and why is it preferable to fine-tuning a model in certain scenarios?
- ›Walk me through how you would clean and prepare a raw dataset in Python using Pandas before feeding it into a scikit-learn model.
- ›What is prompt engineering, and how would you craft a prompt to reduce hallucinations in a large language model response?
- ›Describe the architecture of the customer service chatbot you built — how did you integrate vector databases and a knowledge base?
Behavioural
- ›Tell me about a time you had to learn a completely new technical skill independently — how did you structure your learning?
- ›Describe a project where you encountered unexpected results or errors. How did you diagnose and resolve the problem?
- ›Give an example of a time you had to manage your own schedule and deadlines without direct supervision.
- ›Tell me about a situation where you had to explain a technical concept to someone without a technical background.
- ›Describe a time you identified an ethical concern in a project or process. What did you do about it?
STAR answer examples
Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.
Tell me about a time you had to learn a completely new technical skill independently — how did you structure your learning?
Describe a project where you encountered unexpected results or errors. How did you diagnose and resolve the problem?