Trainee AI Programmer Placement Programme – Full Time – Glasgow

Catering

Glasgow

On-site

GBP 30,000 - 45,000

Full time

3 days ago

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Benefits offered by this job

Microsoft AI-900 certification

1-to-1 tutor and recruitment support

Real-world project experience

Job guarantee get a job or money back

Job summary

ITOL Recruit is offering a Trainee AI Programmer role in Glasgow with no prior experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months, with a job guarantee or money back. The programme is fully online, and candidates can earn £30,000–£45,000 after completion and certification.

Salary is quoted as £30,000–£45,000 per annum, with permanent contract. Location is Glasgow, and the program includes 100% online training, accredited certification, and

Job description

Trainee AI Programmer 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 £30,000-£45,000.

Why AI?

AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing theyre 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.