At a Glance
- Tasks: Join our online traineeship to kickstart your career as an AI Engineer.
- Company: Leading training provider focused on AI careers with a job guarantee.
- Benefits: Earn £28,000 to £45,000 and gain valuable certifications.
- Why this job: Launch your future-proof career in the booming AI industry.
- Qualifications: No prior experience needed; just a passion for AI.
- Other info: Self-paced training with guaranteed job placement or your money back.
The predicted salary is between 28000 - 45000 £ per year.
A training provider specializing in AI careers is offering a Trainee AI Engineer program with online, self-paced training. Designed for individuals with no prior experience, this course guarantees job placement upon completion or your money back.
Candidates can expect to earn between £28,000 and £45,000 and gain valuable certifications, including the Microsoft AI-900. Apply now to start a future-proof career in the rapidly growing AI industry.
Aspiring AI Engineer — Online Traineeship with Job Guarantee in Liverpool employer: ITOL Recruit
Contact Detail:
ITOL Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Aspiring AI Engineer — Online Traineeship with Job Guarantee in Liverpool
✨Tip Number 1
Network like a pro! Connect with fellow trainees and industry professionals on platforms like LinkedIn. We can help you find connections that might lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects or certifications you've completed during the traineeship. This will give potential employers a taste of what you can do.
✨Tip Number 3
Practice your interview skills! We recommend doing mock interviews with friends or mentors. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Apply through our website! We’ve got loads of resources to help you land that dream job. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Aspiring AI Engineer — Online Traineeship with Job Guarantee in Liverpool
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us know why you're excited about AI! Share any personal projects or interests that relate to the field. This helps us see your enthusiasm and potential.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight any skills or experiences that align with the Trainee AI Engineer program. We want to see how you fit into our vision!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon. We appreciate a well-structured application that’s easy to read and understand.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application 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 the interview, brush up on fundamental AI concepts. Familiarise yourself with terms like machine learning, neural networks, and data processing. This will show your enthusiasm for the field and help you engage in meaningful conversations.
✨Showcase Your Learning Journey
Since this role is for aspiring AI engineers, be ready to discuss what you've learned during the traineeship. Highlight specific projects or modules that excited you and how they relate to the job. This demonstrates your commitment and eagerness to grow.
✨Prepare Questions About the Role
Interviews are a two-way street! Prepare thoughtful questions about the company’s AI projects, team dynamics, and growth opportunities. This not only shows your interest but also helps you assess if the company is the right fit for you.
✨Practice Problem-Solving Scenarios
Expect some technical questions or problem-solving scenarios during the interview. Practise explaining your thought process clearly and logically. This will help you convey your analytical skills and how you approach challenges in AI.