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  "job_description": "Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 - Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 - Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 - Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 - Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 - Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 - AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 - AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 - Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\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.\n\nStep 11 - Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 - Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 - AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 - Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning., \"Five months from complete beginner to AI engineer. Best decision I ever made.\" - Jamie W., now working as a Junior AI Engineer in London\n\nIf you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of.\n\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.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing - they're all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works, Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee - get a job or your money back\n\n· Starting salary of £30,000-£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\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.",
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  "job_posted_at_datetime_utc": "2026-02-28T00:00:00.000Z"
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