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Prep Course For AI ML Roles At FAANG Companies

Last updated by Valerie Lewis on Apr 18, 2024 at 12:41 PM | Reading time: 7 minutes

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Attend our Free Webinar on How to Nail Your Next Technical Interview

WEBINAR +LIVE Q&A

How To Nail Your Next Tech Interview

Prep Course For AI ML Roles At FAANG Companies
Hosted By
Ryan Valles
Founder, Interview Kickstart
strategy
Our tried & tested strategy for cracking interviews
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How FAANG hiring process works
hiring process
The 4 areas you must prepare for
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How you can accelerate your learnings

The fourth industrial revolution has already housed itself with reach to each pocket, house, and company. More of its interference in life is expected. This brings a positive side for professionals and candidates seeking career options in the field. With the increasing number of AI ML job roles projected to increase by 35% by 2032, individuals can target tier-1 companies owing to their prized possession of skillsets. Moreover, with direct assistance from the globally leading companies, the pathway will be a lot easier and less time-consuming. But how are our promises so huge?  

Having trained over 17,500 software engineers, we know what it takes to crack the most challenging tech interviews. Since 2014, Interview Kickstart alums have been landing lucrative offers from FAANG and Tier-1 tech companies. The highest-ever offer received by an IK alum is a whopping $1.267 Million!

At IK, you get the unique opportunity to learn from expert instructors who are hiring managers and tech leads at Google, Facebook, Apple, and other top Silicon Valley tech companies.

Want to discover important interview parameters, winning tactics, and how Interview Kickstart enables you to succeed in ML interviews? Sign up for our FREE Webinar.

In this article, we’ll learn:

  • Dedicated Data Science Course Customized to Tier-1 Companies
  • Key Offerings from Interview Kickstart
  • Eligible Candidates for the Course
  • Become Job Ready for FAANG Companies with Interview Kickstart
  • FAQs About AI ML Job Roles

Dedicated Data Science Course Customized to Tier-1 Companies

Candidates experienced or versed with the concepts would need to brush up on their knowledge and application skills. Candidates new to the field would want to begin from the basics to strengthen their base in the field. Meeting the needs to get the career transitionists back in the phase and guide newcomers while also updating with the latest industry trends, Interview Kickstart meets the immediate needs of the candidates through AI and machine learning courses. The data science course is aimed to guide candidates interested in training their careers to data Science roles at tier-1 companies. 

The educators are data and research scientists working routinely for the latest technological advancement. Aware of the current market requirements and critical concepts and principles important for the job roles, they are also capable of imparting the right guidance and answers to complex queries. 

The AI data science course covers the latest curriculum and is divided into two categories. Part I includes mastering data science, which encompasses programming language, mathematics, fundamental data science concepts, statistics, and projects for hands-on training. 

Part II deals with interview prep comprising data structures and algorithms and data science interview prep. 

By far, the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.

– Eliezer Yudkowsky, co-founder and research fellow at the Machine Intelligence Research  Institute

Key Offerings from Interview Kickstart

The Data Science course, among the AI ML best courses, from Interview Kickstart, is different from other educational platforms. It is not limited to education or hands-on practice. The recruiters from FAANG companies are the industry experts taking the candidate’s doubts. Guiding them in each aspect with a platform allowing self-evaluation and opportunity for face-to-face discussion, here is all you can expect from a globally leading company, Interview Kickstart: 

  • The course is designed by FAANG experts to deliver excellence in FAANG companies through capable AI data scientists 
  • Involves continuous learning and feedback through technical coaching, homework assistance, solution discussion, and individual sessions 
  • Offers real-life resume-worthy experience through  capstone projects 
  • Around 15 mock interviews directly with hiring managers from FAANG companies for AI ML roles 
  • Offers practice to make candidates 100% interview ready 
  • Guidance in resume building and LinkedIn profile optimization. Personal branding and live behavioral workshops 
  • Candidates can utilize the opportunity of on-demand timed tests 
  • Evaluation by in-browser online judge 
  • Around 10,000 interview questions for an excellent grasp of the concepts 
  • Progress updates in real-time to eliminate any waiting hours 
  • Timely notifications to not let you miss the live classes and associated activities 
  • Educates in more than 11 programming languages 

Eligible Candidates for the Course

Interview Kickstart welcomes all the candidates falling in below mentioned categories to AI & Machine Learning courses: 

  • Dedicated to offering around 15 hours a week to their career
  • Recent college graduates and undergraduates
  • Candidates currently pursuing careers as Software Engineers/Developers 
  • Practicing Data Analyst professionals 
  • Individuals with STEM background interested in Data Science, regardless of their familiarity with the subject 

Artificial intelligence is the science of making machines do things that would require intelligence if done by humans

– John McCarthy, Former Computer Science Professor at Stanford University

Become Job Ready for FAANG Companies with Interview Kickstart

An individual seeking career guidance has a prime requirement of a structured approach to the course of their choice. The experts and mentors offer the same to their candidates, beginning right from the basics, which is the AI ML Job Resume. Playing a key role in the preliminary selection, it is critical to reach and catch the attention of the human recruiters.

Going forward, the next step is to make an impression in the interaction session and pass the interview questions. Our expert-curated 50+ Machine Learning Interview Questions guide is available with a face-to-face discussion session to evaluate your approach to the questions. Helping you stand out from the crowd, the Advanced Machine Learning Interview Questions are most practiced after gaining preliminary command over the subject. 

Heading further, insight into the Google Machine Learning Engineer Interview Process is all you need to set up and practice yourself. Adding to your value, Interview Kickstart also offers a salary negotiation ebook not to let you compromise at any step in your dream career path. 

Find the collective guidance with insights into personalized strengths and weaknesses with our Data Science course. So, do not keep the mock interviews and other offers waiting. Register for our FREE webinar now to make your decision. 

FAQs About AI ML Job Roles

Q1. What is the salary of an AI ML engineer?

The average salary of an AI ML engineer is $162,24 per annum. The professionals also earn additional cash compensation, of an average $30,728 annually. 

Q2. Can I learn AI on my own?

With numerous quality resources available online, learning AI on one’s own is possible. However, often lacking characteristic is a structured approach to the destination. 

Q3. Who earns more AI ML or Data Science? 

Considering the comparison on average, Machine Learning engineers earn more than Data Scientists. 

Q4. Does AI and ML have a future?

The future of AI and ML is exciting and obvious with its ability to solve complex problems. The development of technologies bringing forward transparency in AI-based decision-making further encourages its reliability in critical processes. The predictability and forecasting characteristics are also helping humans thus increasing its usage. 

Q5. What is the role of an AI professional? 

The AI professionals are concerned with developing systems and applications through the AI and Machine Learning techniques. Their aim is to automate the procedures and increase the efficiency of tasks in organizations.

Last updated on: 
April 18, 2024
Author

Valerie Lewis

Contributing Author

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Prep Course For AI ML Roles At FAANG Companies

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