Becoming a Machine Learning Engineer is an in-demand career path. It requires deep expertise in Machine Learning and a strong network to carry you along. Here are some resources to help you on your journey.
Demand for experts in Machine Learning is growing rapidly. Companies are looking for people with deep expertise in the field of Machine Learning to help them build their products and services.
As a result, Machine Learning Engineers are in high demand and command high salaries. According to leading sources, the median salary for a Machine Learning Engineer is $150,000 and a senior Machine Learning Engineer can earn up to $200,000. Even entry-level positions can command great salaries.
No wonder that interest in a career in Machine Learning is growing rapidly. Explore the resources below to learn more about how to become a Machine Learning Engineer.
Everything you need to start your career in Machine Learning.
A well-written and thorough book can be an amazing path to build deeper understanding and also act as a handbook as you discover the internet's vast resources.
These are our and our experts top picks to get started building career-relevant skills.
Richard Sutton's book on Machine Learning is universally regarded as one of the most fundamental and important pieces on the matter. Reinforcement Learning is quickly becoming a major part of AI innovation, and a good read for any engineer and scientists to go through.
Recommended by the experts and mentors at MentorCruise.
It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples o
Recommended by the experts and mentors at MentorCruise.
Bishop's book on pattern recognition is a classic textbook and staple in Machine Learning. Beimg aimed at grad students, but also at researchers and practitioners, it's no easy lecture, but a truly fundamental course book.
Recommended by the experts and mentors at MentorCruise.
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learni…
Recommended by the experts and mentors at MentorCruise.
AWS is constantly driving new innovations that empower data scientists to explore a variety of machine learning (ML) cloud services. This book is your comprehensive reference for learning and implementing advanced ML algorithms in AWS cloud.
Recommended by the experts and mentors at MentorCruise.
An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement le…
Recommended by the experts and mentors at MentorCruise.
These days, courses are no longer a sequence of videos. They are usually accompanied by projects and a learning community, keeping you accountable and on the path.
Our experts recommend these courses, from free selections to paid programs.
Udacity has been a pioneer of Machine Learning courses since launching their wide range of ML, Data Science and Robotics courses a few years back. These Nanodegrees are pricey but often come with career support and human project grading.
Available on udacity.com
In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. 38% of students started a new career after completing this specialization.
Available on coursera.org
#BreakIntoAI with Machine Learning Specialization. Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
Available on coursera.org
You're looking for a complete Machine Learning and Deep Learning course that can help you launch a flourishing career in the field of Data Science, Machine Learning, Python, R or Deep Learning, right? You've found the right Machine Learning course! After completing this course you will be able t…
Available on udemy.com
It’s time to make a decision: beach or mountains? When choosing where you want to go for vacation, it can be simple. The options may be a or b. From a decision-making standpoint, it’s easy for the brain to process this decision tree. But, what happens when you’re faced with more complex, multifa…
Available on pll.harvard.edu
Introduction to End-to-End Machine Learning Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models with this comprehensive course. Through engaging, real-world examples and hands-on exercises, you'll learn to tackle complex data problems and build…
Available on datacamp.com
Mastering the fundamentals of Machine Learning will help you earn valuable certifications. Our expert mentors can guide you through the certification process and help strengthen your knowledge.
AI visionary Andrew Ng’s Machine Learning Specialization is an online, three-course, educational program designed to help course takers master fundamental AI concepts and develop practical machine learning (ML) skills, such as building and training machine learning models. The highly-regarded spec…
Consider reaching out to a coach specialized in Machine Learning certifications. They can help you prepare for your exam, and provide you with the necessary resources to succeed. MentorCruise is the best place to find a coach for your Machine Learning certification.
IBM’s Machine Learning Professional Certificate is an online, six-course educational program that equips course takers with practical ML skills, such as supervised learning, unsupervised learning, neural networks, and deep learning. At the same time, the program also introduces course takers to suc…
Amazon Web Service’s (AWS) Certified Machine Learning - Speciality Certification indicates your expertise in building, training, and running ML models in AWS. To earn the certification, you must take and pass a 180-minute exam consisting of 65 multiple-choice and response questions. Designed for …
Google’s Professional Machine Learning Engineer Certification indicates your expertise in designing, building, and producing machine learning models using Google Cloud and industry-proven techniques. To earn the certification, you must take and pass a two-hour exam consisting of 50-60 multiple-choi…
The University of Washington’s Machine Learning Specialization is a four-course online educational program covering the major areas of ML, including prediction, classification, clustering, and information retrieval. Through the course, you’ll also analyze large and complex datasets, create systems …
Consider joining a workshop specialized in Machine Learning. Workshops are a great way to learn new skills, and get hands-on experience. MentorCruise is the best place to find a workshop for your Machine Learning certification.
Johns Hopkins University's Applied Machine Learning Specialization is a three-course program designed for intermediate learners. In it, you'll explore core techniques including supervised learning, ensemble methods, regression analysis, unsupervised learning, and neural networks. The courses emphas…
One-off advice can be helpful – but partnering with a dedicated expert means faster decisions, fewer mistakes, and real momentum on your most important projects.
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Experts don't just answer questions – they help you practice interviews, review your resume or portfolio, and offer industry-specific insights you won't get from a course or blog post.
In the end, advancing your career is all about getting the right opportunities at the right time and a good portion of luck.
These are some interesting things going on in the Machine Learning space and you probably don't want to miss them.
It wouldn't be the first time I've seen someone get hired over good Kaggle results! Kaggle competitions are data science and ML projects that are graded through a public leaderboard. A good place on the leaderboard shows that you know your craft and can apply your knowledge to real-life problems!
While Google & co. are saturated with academic talent, there are incredible opportunities to get your foot in the door quicker with an early-stage positions.
Today, startups and early-stage businesses are looking for ML engineers more and more for a wider variety of jobs than what's possible in the more established industry.
Platforms like AngelList can help you find those positions!
The world thrives on open-source software and this is no exception. Core contributors to core libraries and fast-growing tech like React, scikit-learn, Bitcoin and TensorFlow prove their abilities by going into the inner workings of a framework to improve it. For many companies, that's a desirable skill!
These projects are always looking for fresh faces. Grab an issue from the issue board or review a PR to get started!
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