Trainee AI Engineer

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? Their 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.

Candidates earn £28,000-£45,000.

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 Projecti

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.

They Get You Hired

They 're not new to this. The company has 15+ years of experience and has placed over 5,000 people into new roles.

Their job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.

They don't believe in empty promises. Complete their 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, they'll help you turn that into a career you can be proud of.

Apply now, and one of thier expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.