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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 and career development.
- Benefits: Flexible learning, Microsoft certification, and a pathway to a secure job in AI.
- Other info: 100% online training with excellent career prospects in just five months.
- Why this job: Dive into the booming AI industry with no prior experience needed!
- Qualifications: Motivation and curiosity about technology are all you need.
The predicted salary is between 25000 - 35000 £ per year.
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.
- Step 3 – Hands-on Tools: 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.
- Step 9 – Integrating Knowledge: 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 – Virtual 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.
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.
Senior Ontwikkelaar in Leeds employer: ITOL Recruit
Contact Detail:
ITOL Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Ontwikkelaar in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and join online forums. The more connections you make, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those from your training. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI. We recommend doing mock interviews with friends or mentors to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! We have loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Ontwikkelaar in Leeds
Some tips for your application 🫡
Show Your Passion for AI: Let us see your enthusiasm for artificial intelligence! In your application, mention any projects or experiences that sparked your interest in AI. We love to see candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your application to fit the role. Highlight relevant skills and experiences that align with the AI Engineer position. We appreciate when applicants take the time to connect their background to what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We want to understand your qualifications without wading through unnecessary fluff!
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 role. Plus, it’s super easy to do!
How to prepare for a job interview at ITOL Recruit
✨Know Your AI Basics
Before heading into the interview, make sure you brush up on the fundamentals of AI engineering. Understand key concepts like neural networks and large language models, as well as the tools you'll be using, such as Jupyter Notebooks and VS Code. This will show your potential employer that you're not just interested in the role but also have a solid grasp of the basics.
✨Showcase Your Projects
Be ready to discuss any projects you've worked on during your training, especially those involving Python and machine learning. Whether it's the car price prediction app or the sentiment analysis classifier, having specific examples to talk about will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Ethical Side
AI ethics is a hot topic right now, so make sure you can speak about the ethical considerations in AI, such as bias and data privacy. Showing that you’re aware of these issues will set you apart from other candidates and highlight your commitment to responsible AI development.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions to ask your interviewer. Inquire about the company's approach to AI projects, their team dynamics, or how they handle data ethics. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.