Pratique du Shadowing: AI (Artificial Intelligence) JOB INTERVIEW QUESTIONS & ANSWERS! (How to PASS an AI JOB INTERVIEW!) - Apprendre l'anglais à l'oral avec la vidéo
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Hello there.
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My name is Richard McMunn from the interview training website PassMyInterview.com.
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And in this tutorial, I will teach you how to prepare for an artificial intelligence job interview.
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So, if you are applying for any AI role whatsoever with any organization,
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make sure you stay tuned because I promise to help you pass your interview at the first attempt.
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And to achieve that goal, this is what I will cover in this tutorial number one.
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I will give you a list of artificial intelligence job interview questions I strongly recommend you prepare for.
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Now, during your AI job interview, you will have to answer motivational interview questions,
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behavioral interview questions, and also technical-based questions.
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Now, we'll cover those during this tutorial number two.
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I will give you two really important tips for answering each of those interview questions correctly to get the highest scores achievable.
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Number three, I will then give you an example answer to each AI job interview question to help you pass.
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And then finally, number four,
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I will tell you where you can instantly download my full set of 22 artificial intelligence job interview questions
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and answers in a PDF guide.
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And just very quickly, if you are new to my channel, please make sure you hit that SUBSCRIBE button.
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Literally, thousands of you are passing your interviews at the first attempt.
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I can only help you if you are subscribed.
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And please just give the video a LIKE because
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that tells me you find these tutorials useful and it motivates me to create more content for you.
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Thank you very much indeed.
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Okay.
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The first AI job interview question I want you to prepare for is, tell me about yourself.
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This will be the first artificial intelligence job interview question you must answer.
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I recommend you practice your response until you know it off by heart, because this will ensure your interview not only gets off to a positive start,
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but it tells the hiring manager you have strong communication skills, and those skills are needed in all AI job roles.
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And tip number two, in your answer, talk about the skills you can bring to the position,
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your qualifications and experience, and talk about one significant achievement you have gained in your work or personal life so far.
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Because that then demonstrates you are someone who is set out and dedicated to achieving great things in your work.
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Here's my example answer to help you.
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Tell me about yourself.
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Thank you for the opportunity to be interviewed for this AI position with your organization today.
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I would describe myself as a forward-thinking, technically astute and innovative collaborator who enjoys solving problems,
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working on challenging projects and seeking opportunities to capitalize on for my employer.
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I have a track record of achievement.
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Not only did I achieve excellent academic qualifications that will be useful to this industry,
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but I helped my previous employer launch a new artificial intelligence-driven software app that was industry-leading.
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Outside of work, I keep myself fit and active, so my concentration and energy levels are always high,
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and I take ownership of my professional development to ensure my skills are kept updated with the ever-changing trends
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and opportunities that occur within artificial intelligence.
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Now, if you hire me, I will add value to the organization by bringing a wealth of technical knowledge and new ideas to the team,
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and I will collaborate closely with my coworkers to achieve the company's strategic
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and commercial objectives." That is a brilliant top-scoring example answer to that first artificial intelligence job interview question,
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tell me about yourself.
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You can either pause the video if you want to and write down the questions and answers
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as we work through them together. Or
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if you wait, I will soon tell you where you can instantly download my full set of 22 AI job interview questions
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and top-scoring responses in a PDF guide.
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Here's the next question I want you to prepare for.
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Why do you want to work in artificial intelligence?
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Here's two tips.
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Tip number one.
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Now, lots of people right now want to get into the AI industry because it's the latest thing.
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However, those candidates will probably not be committed to a company for the long term.
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Tip number two.
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In your answer, talk about the opportunities AI presents, how you will be kept busy, pushed and challenged in your work,
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and also the earning potential because the earning potential is definitely there in the AI industry right now.
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So, here's my example answer to assist you.
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Why do you want to work in artificial intelligence.
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I want to work in AI for three reasons.
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First, I thrive on new technology because it excites me
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and I can see numerous opportunities for my employer to get involved in.
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This means I am always kept interested, busy and challenged.
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Second, I want to work in artificial intelligence
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because it means we can be the first to create new and innovative ideas that shape how people interact with the technology.
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Finally, I want to work in artificial intelligence because the earning potential is good.
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Now, although I am not motivated by money, if I can get rewarded for carrying out excellent work and helping my employer achieve great things,
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then it's a bonus." That's a really good answer
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and I have a top-scoring response that will put you ahead of the competition at your AI job interview.
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Now, don't go anywhere because I still have more questions and answers to give you.
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But when you're ready, you can click
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that link in the top right-hand corner of the video and head straight through to my website,
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PassMyInterview.com, and instantly download my full set of 22 artificial intelligence interview questions and top-scoring answers,
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including the ones we are working through together today in this presentation.
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Here's Here's the next question for you.
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What strengths can you bring to this AI position?
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Tip number one.
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Now, it is essential that you align your strengths with those listed on the AI job description.
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Make sure you read the job description before your interview.
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Tip number two.
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The most effective way to answer this common AI interview question is to also give strengths
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that add a monetary value to their organization.
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What do I mean by that?
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Well, here's my example answer to explain.
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What strengths can you bring to this AI position?
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I can bring numerous strengths that are a great match for the job description.
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I can also bring additional strengths that will add value to your company.
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Strengths that match the job description include programming, based modeling experience, data processing,
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machine learning capabilities, and knowledge of intelligent user interfaces.
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I can also bring good communication skills, a selfless attitude when collaborating with others, and proven problem-solving skills.
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In terms of the strengths that will add value to your company,
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I can bring a creative mindset whereby I generate new AI-driven ideas to help increase business turnover
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and a cost-conscious approach to my work to ensure you save money.
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That is a really smart answer to that common AI interview question.
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What strengths can you bring to this AI position.
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You are loading the first part of your answer with job description strengths, and then you are giving two strengths that add a monetary value to their organization.
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It's a great way for answering that common question.
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Now, I also recommend you prepare for technical-based questions during your AI interview.
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Let me give you some example questions to practice.
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What's the difference between artificial intelligence, machine learning and deep learning?
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Here's my example answer.
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In simple terms, both machine learning and deep learning are types of artificial intelligence.
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Machine learning is capable of adapting without too much human interaction or interference.
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Deep learning, on the other hand, is a subset of machine learning.
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It utilizes artificial neural networks to imitate the human brain's learning process.
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Here's another question.
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What are the different types of AI?
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Here's an example answer.
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There are many different types of AI.
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Supervised learning is learning from labeled data, whereas unsupervised learning is learning from unlabeled data.
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Then there is reinforcement learning.
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This is learning through rewards and punishments.
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Deep learning AI is a set of complex neural networks that are generated for pattern recognition.
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Natural language processing teaches machines to understand human language.
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Computer vision teaches machines to interpret visual data.
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And robotics is creating intelligent machines that can perform specific tasks.
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Okay, let's now move on to another motivational AI interview question, and that is, what's your biggest weakness?
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Here's two tips.
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This is another common artificial intelligence job interview question that I strongly recommend you prepare for.
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Do not, whatever you do, give a weakness that is a match for anything listed on that job description.
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Tip number two.
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Now, your weakness might be finding it difficult to say no to people or
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public speaking is another good example weakness to give.
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Here's my top-scoring example response.
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What's your biggest weakness?
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My biggest weakness is I find it difficult saying no to people.
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I automatically say yes whenever someone asks me for help.
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Although I will always take on as much work as possible, I need to learn to assess my capacity for additional work
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before saying yes to ensure it doesn't affect my main responsibilities." I love that weakness.
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It's a really good one to give for AI job interviews because it says you are willing
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to do as much work as possible.
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Here's the next question.
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Give some examples of AI applications and common uses.
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This comes up all the time during artificial intelligence job interviews.
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Here's my example answer.
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Give some examples of AI applications and common uses.
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The current and more common AI applications include virtual personal assistants for voice recognition such as Siri and Alexa,
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etc. AI is used in finance and banking operations for fraud detection
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and also security industries for image and video recognition during surveillance operations.
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AI is brilliant when used for speech recognition while transcribing audio and dictation,
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and it is becoming more useful in autonomous vehicles within the transportation industry.
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Other uses include customer service chatbots, predictive analytics for personalized marketing and advertising,
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medical diagnosis and treatment planning and predictive maintenance in manufacturing to reduce equipment downtime."
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That's a really good comprehensive and confident answer to help you pass your interview.
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Here's another technical-based question.
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What is the difference between weak AI and strong AI?
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Here's my example answer.
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Weak AI has a narrow application with limited scope.
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It is good at specific tasks but does not have human-level intelligence.
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Weak AI utilizes supervised and unsupervised learning to process data.
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Examples of applications that have weak AI include Siri and Alexa.
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Strong AI, however, has a wider application with huge scope.
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It has an amazing level of human intelligence and uses clustering and association for data assessing.
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An example of strong AI is robotics.
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Here's the next question, another motivational one.
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Why do you want to work for us?
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Tip number one.
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This is another question that will come up during your artificial intelligence job interview.
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It is assessing your motivations for wanting to work for their company.
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Now, in your response, make sure you state you have researched their company.
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This is really important.
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Here's my top-scoring example answer to help you.
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Why do you want to work for us?
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I want to work for you
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because I see lots of opportunities in the artificial intelligence industry for me to make a difference to your company.
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Over the years, I have built up extensive experience in various fields and organizations.
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In particular, the experience I have gained in AI will benefit your organization.
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I also want to work for you because during my research and with the people I spoke to,
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it quickly became apparent that you are innovative, supportive and forward-thinking.
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You will give me the creative freedom to find solutions for your business
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that help you drive forward and maintain your high-standing position in this industry." That's a really good,
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powerful and positive answer that will help you pass your interview.
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Now, the next thing to do is click that link right now in the top right-hand corner of the video, head straight through to my website, PassMyInterview.com,
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And you can download my full set of 22 artificial intelligence job interview questions and top scoring answers in a PDF guide.
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The guide includes all of the answers I have just given you during this tutorial and more.
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Make sure you go through to that website because also on that page, I've given you five additional tips for preparing for any AI job interview.
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And I've also given you some questions to ask at the end of your AI interview.
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So at the end of your interview, they'll say, that's the end of the interview you have any questions for us.
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The majority of candidates say, no, it's okay.
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You covered everything in the interview.
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I don't have any questions." But that's a big mistake.
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You should ask three or four smart questions that demonstrate you're going to be a great asset to their company.
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I will tell you on that page which questions to ask.
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Finally, don't forget to hit the SUBSCRIBE button.
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Please give the video a LIKE.
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That really does motivate me to create more content for you.
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And don't forget to connect with me on LinkedIn.
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I have put my LinkedIn link in the description below the video.
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It's always a pleasure to connect with like-minded professionals such as yourself.
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Thank you for watching, and I wish you all the best for parting your AI job interview.
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Have a great day!
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Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale de niveau B2 s’appuie sur la vidéo « AI (Artificial Intelligence) JOB INTERVIEW QUESTIONS & ANSWERS! ». Les mots qui reviennent le plus souvent : interview, answer, intelligence, artificial, learning. Cette vidéo contient 191 phrases et 2319 mots à répéter en shadowing. La partie parlée dure 15:24. Le locuteur parle à un rythme naturel d’environ 151 mots par minute, proche d’une conversation courante. 84 % des mots font partie des 3 000 mots les plus courants en anglais ; le reste mérite d’être vu avant de commencer.
Vocabulaire clé de cette vidéo
Les 15 mots les plus avancés de la vidéo, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| weakness nom | /ˈwik.nɪs/ | faiblesse |
| tutorial nom | /ˌtjuːˈtɔːɹɪəl/ | didacticiel, tutoriel |
| motivational adjectif | incitatif, motivationnel | |
| motivate verbe | /ˈmoʊ.tɪ.veɪt/ | motiver |
| assess verbe | /əˈsɛs/ | estimer, évaluer |
| innovative adjectif | /ˈɪn.əˌveɪtɪv/ | novateur, innovant |
| predictive adjectif | /pɹɪˈdɪk.tɪv/ | prédictif |
| supervise verbe | /ˈsuː.pə.vaɪz/ | superviser, encadrer |
| unsupervised adjectif | sans surveillance, non encadré | |
| collaborate verbe | /kəˈlæb.ə.ɹeɪt/ | collaborer |
| robotics nom | /ɹoʊˈbɑ.tɪks/ | robotique |
| neural adjectif | /ˈnʊɹəl/ | neural |
| qualification nom | /ˌkwɑlɪfɪˈkeɪʃən/ | qualification |
| monetary adjectif | /ˈmʌnɪtəɹi/ | monétaire |
| demonstrate verbe | /ˈdɛm.ənˌstɹeɪt/ | démontrer |
Les verbes à particule que vous entendrez
| Mot | Prononciation | Sens |
|---|---|---|
| come up verbe | se montrer, sortir du bois | |
| build up verbe | s'accumuler, s'entasser | |
| carry out verbe | /ˈkæ.ɹi aʊt/ | sortir, transporter dehors |
| set out verbe | /ˈsɛt‿aʊt/ | expliquer |
| write down verbe | noter, écrire |
Des phrases à répéter
Des phrases courtes et complètes de la vidéo, à réutiliser dans la conversation de tous les jours :
- Here's my example answer to help you.
- Why do you want to work in artificial intelligence?
- What do I mean by that?
- What's your biggest weakness?
- Why do you want to work for us?
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Phrases conditionnelles if + proposition, will/would + verbe — une condition et son résultat | if you hire me, I will add · if you wait, I will soon |
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | have gained · have researched · have built |
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | are subscribed · are needed · is set |
Prononciation à surveiller
Le locuteur utilise 11 contractions et formes réduites, comme don't, I've, you're. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « sh » et « zh »: qualification /ˌkwɑlɪfɪˈkeɪʃən/, dictation /dɪkˈteɪʃən/, detection /dɪˈtɛk.ʃən/, conscious /ˈkɑn.ʃəs/
- Mots longs — placez bien l’accent: innovative /ˈɪn.əˌveɪtɪv/, collaborate /kəˈlæb.ə.ɹeɪt/, qualification /ˌkwɑlɪfɪˈkeɪʃən/, monetary /ˈmʌnɪtəɹi/, achievable /əˈt͡ʃivəbəl/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: behavioral /bɪˈheɪvjəɹəl/, whatsoever /ˌ(h)wʌtsoʊˈɛvɚ/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: achievable /əˈt͡ʃivəbəl/, chatbot /ˈtʃætbɑt/
- /r/ anglais — langue recourbée, sans frotter la gorge: tutorial /ˌtjuːˈtɔːɹɪəl/, predictive /pɹɪˈdɪk.tɪv/, collaborate /kəˈlæb.ə.ɹeɪt/, robotics /ɹoʊˈbɑ.tɪks/, neural /ˈnʊɹəl/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme weakness, tutorial, motivational.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.