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- Tasks: Train online to become an AI Engineer with hands-on projects and real-world experience.
- Company: Join ITOL Recruit, a leader in AI training with a focus on future-proof careers.
- Benefits: Flexible learning, Microsoft certification, and a pathway to a Junior AI Engineer role.
- Other info: 100% online, self-paced training with career support and growth opportunities.
- Why this job: Dive into the booming AI industry and secure your future with high demand and excellent salaries.
- Qualifications: No experience needed; just bring your motivation and curiosity for technology.
The predicted salary is between 30000 - 40000 £ per year.
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.
Why AI?
AI is reshaping every industry you can think of. 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. 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. 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. 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.
100% online, self-paced training · Microsoft AI-900 certification included · Real-world project experience · Five months from complete beginner to AI engineer.
If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.
AI Programmer in Leicester employer: ITOL Recruit
Contact Detail:
ITOL Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Programmer in Leicester
✨Tip Number 1
Network like a pro! Connect with fellow trainees and industry professionals on platforms like LinkedIn. Join AI-related groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your projects! When you complete your hands-on projects, share them online. Create a portfolio or a GitHub repository to showcase your skills and attract potential employers.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on explaining your projects and the technologies you've used, as this will help you stand out.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Don’t hesitate to send in your application and let us help you kickstart your career in AI.
We think you need these skills to ace AI Programmer in Leicester
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see that you're genuinely excited about the field and eager to learn. Share any personal projects or experiences that sparked your interest in AI.
Tailor Your Application: Make sure to customise your application to fit the role of Trainee AI Engineer. Highlight relevant skills, even if they're from different areas, and connect them to what we’re looking for. This shows us you’ve done your homework and are serious about joining our team.
Keep It Clear and Concise: We appreciate a straightforward application! Stick to the point and avoid fluff. Use clear language to describe your experiences and skills, making it easy for us to see why you’d be a great fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it’s super easy to do!
How to prepare for a job interview at ITOL Recruit
✨Know Your AI Basics
Before the interview, brush up on your understanding of AI fundamentals. Familiarise yourself with key concepts like neural networks and large language models, as these are likely to come up in conversation. Being able to discuss these topics confidently will show your enthusiasm and readiness for the role.
✨Showcase Your Projects
If you've completed any projects during your training, be sure to highlight them. Discuss the car price prediction app or the sentiment analysis classifier you built. This not only demonstrates your practical skills but also your ability to apply theoretical knowledge in real-world scenarios.
✨Prepare for Technical Questions
Expect some technical questions related to Python programming and machine learning principles. Review common algorithms and libraries like NumPy and Pandas. Practising coding problems can also help you feel more comfortable when faced with technical challenges during the interview.
✨Understand AI Ethics
Be prepared to discuss ethical considerations in AI, such as bias and data privacy. Employers value candidates who are aware of the implications of their work. Showing that you understand these issues will set you apart and demonstrate your commitment to responsible AI development.