Interview Kickstart has enabled over 3500 engineers to uplevel.
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:
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
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:
Interview Kickstart welcomes all the candidates falling in below mentioned categories to AI & Machine Learning courses:
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
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.
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.
Considering the comparison on average, Machine Learning engineers earn more than Data Scientists.
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.
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.
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