Aspiring AI Engineer – 100% Online, Job Guarantee

Trainee AI Engineer – No Experience Needed

Future-proof your career in Artificial Intelligence – starting today.

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.

How It Works

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.
2. Data Fundamentals – Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.
3. Notebooks & IDEs – Get hands‑on with industry‑standard tools like Jupyter Notebooks and VS Code to develop AI systems.
4. Python Programming – Master Python, covering everything from the basics to object‑oriented programming (OOP).
5. Python Streamlit Project – Apply your Python skills by building a car price prediction app using Python and Streamlit.
6. Python for Data – Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.
7. AI Sentiment Analysis Project – Work with Hugging Face to build a sentiment analysis classifier using real‑world AI techniques.
8. AI Prompt Engineering – Master prompt engineering, learning how to craft effective prompts for controlling AI outputs.
9. Retrieval‑Augmented Generation (RAG) – Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.
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.
11. Machine Learning Fundamentals – Understand machine learning principles and algorithms, and how to train and test models using scikit‑learn.
12. Machine Learning Project – Put your machine learning knowledge into practice with a hands‑on project.
13. AI & Data Ethics – Study the ethical considerations in AI, including issues of bias, fairness, and data privacy.
14. Oral Exam – Complete a virtual oral exam to assess your understanding and ability to apply your learning.
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

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 a Career Advisor will be in touch within 4 working hours to guide you through your next steps.

#J-18808-Ljbffr…