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Trainee AI Programmer – No Experience Needed\nFuture-proof your career in Artificial Intelligence – starting today.\nLooking 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.\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\nPlease note this is a training course and fees apply\nJob guaranteed - complete the programme and get a job or get your money back.\nOur candidates earn £30,000-£45,000.\nWhy AI?\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\nHow It Works\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\nWhat You Get\n· 100% online, self-paced training\n· Microsoft AI-900 certification included\n· 1-to-1 tutor and recruitment support\n· Real-world project experience\n· Job guarantee – get a job or your money back\n· Starting salary of £30,000–£45,000\nWe Get You Hired!\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\nWe 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.\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\nReady to Start?\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps