Become an A.I. & Machine Learning Engineer

No fluff. No outdated tutorials. No overpriced bootcamp. This Machine Learning Engineer, A.I. Engineer Career Path is your step-by-step roadmap to go from beginner (at any age!) to getting hired as a Machine Learning Engineer. You’ll be guided through our curated curriculum of courses, workshops, challenges, and action items to build your skills, portfolio and experience to become an A.I. & Machine Learning Engineer.

Earn on average $189,291 per year

US salary data collected from Indeed, LinkedIn, and Web3.career 2024.

7 Months

Average time students take to complete this career path.

Your career pathReviewsInstructorsFAQsPricing

Your career path

What You'll Learn

  • Deep Learning, Transfer Learning and Neural Networks using Tensorflow and PyTorch
  • Get experience using the modern tools that big tech companies like Google, Apple, Amazon, Meta, and OpenAI use
  • Build TensorFlow and PyTorch models using Computer Vision, Convolutional Neural Networks and Natural Language Processing
  • Learn all about Generative A.I. and Language Learning Models
  • How to ace all of your interviews, get more job offers and a higher salary
Course
Intermediate
Complete A.I. Machine Learning and Data Science: Zero to Mastery
45 Hours ·390 Lessons Complete A.I. Machine Learning and Data Science: Zero to Mastery
Learn Machine Learning (Artificial Intelligence), Python, Data Science, Data Analysis, Tensorflow, Pandas & more. All using the latest in AI!
Course DetailsTake the Course
Course
Intermediate
Career Advice: Interviews & Getting Hired
3 Hours ·50 Lessons Career Advice: Interviews & Getting Hired
This course teaches you to nail job interviews with prep tips, common questions, and smart answers—all to boost your chances of landing the job!
Course DetailsTake the Course
Action
Apply To 5 Jobs

Believe it or not, you now have enough skills to start applying to jobs and even get hired! This process usually takes a while and it's good to start even if you don't feel "ready". Apply to 5 jobs online right now and see what happens. You don't even need to "want" these jobs. The goal is to practice applying and practice going through the interview process. Once you finish applying to 5 jobs (you don't need to hear back), move on to the next step in this Career Path.

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Action

The Next 2 Courses

If you have the time, we recommend that you do both the TensorFlow and the PyTorch courses. You can pick the order! However, if you already know that you prefer one over the other, or your job requires you to just learn just one, pick that one. Again, our recommendation is that you do both courses since you will learn a lot from each (to be a top Machine Learning expert you should know both TensorFlow and PyTorch).

Course
Advanced
PyTorch for Deep Learning Bootcamp: Zero to Mastery
52 Hours ·353 Lessons PyTorch for Deep Learning Bootcamp: Zero to Mastery
Learn PyTorch. Become a Deep Learning Engineer. Get Hired. This PyTorch course is your step-by-step guide to developing your own deep learning models using PyTorch. Includes Computer Vision, Neural Networks + more!
Course DetailsTake the Course

See whole career path

What ZTM students are saying

Our courses and community have helped 1,000s of Zero To Mastery students go from zero to getting hired to levelling up their skills and advancing their careers to new heights.

Rated 4.9 out of 5 on Trustpilot

    Meet your instructors

    Your Career Path instructors aren’t just experts with years of real-world professional experience. They have been in your shoes. They make learning fun. They make complex topics feel simple. They will motivate you. They will push you. And they go above and beyond to help you succeed.

    Daniel Bourke

    Daniel Bourke

    Machine Learning Instructor
    Andrei Neagoie

    Andrei Neagoie

    Lead Instructor
    Patrik Szepesi

    Patrik Szepesi

    Machine Learning and Generative AI Instructor
    Scott Kerr

    Scott Kerr

    Generative AI Instructor

    Still have questions?

    Who is this Machine Learning Engineer Career Path for?

    Anyone who wants a clear step-by-step guide to Anyone who wants a clear step-by-step guide to become a Machine Learning Engineer from scratch and actually get hired. Oh ya, and you don't want to waste your money on overpriced bootcamps and degrees.

    Also, let's be honest. Some of the topics can be a little dry. So, we're even going to have a bit of fun along the way. No way! Crazy right?!

    This Machine Learning Engineer Career Path is perfect for you if:

    • You're a complete beginner (of any age!) and want a full bootcamp curriculum and experience without having to pay $1,000s
    • You don't want to waste your valuable time. You want to learn everything needed to become a Machine Learning Engineer in one place
    • You want to build real-world, full-scale projects that will push you, challenge you and make your portfolio and resume stand out
    • You don't want to learn and take this journey alone. You will learn alongside 100s of other students at your same level and 1,000s more that are just a few steps ahead of you
    • You can handle our amazing sense of humour (it's not spelled wrong, we're Canadian... well, some of us... see what we mean... you've been warned)

    And it's definitely for you if you're sick of:

    • Outdated tutorials
    • Free courses and tutorials that don't go beyond the basics
    • Learning topics and concepts that are mostly irrelevant in the real-world and don't even get asked in interviews
    • Courses with no community or support system
    • Tutorial hell
    • Feeling like you're going in circles with no clear path or end in sight

    Let's be 100% clear. You aren't going to do 100 challenges or 50 projects or learn topics that aren't going to get you hired or even be used in the real-world. That's a waste of your time.

    The sooner you get hired, the sooner you'll be learning more than you can from any course. That's our goal.

    Why become a Machine Learning Engineer?

    Everyone has their own reason(s) as to why they want to become a Machine Learning Engineer. But here are a few of the best reasons:

    1. Lots of jobs available. As we're writing this, there are over 21,000 Machine Learning Engineer jobs available on Glassdoor (not to mention Linkedin, Indeed or elsewhere). And it isn't going to slow down. Haven't you heard? The robots are taking over. Someone has to program them! The field of Machine Learning is still young and growing so fast. More and more industries (robotics, finance, marketing) and jobs are being created that never even existed before.
    2. High demand = High salary. The average annual salary for a Machine Learning Engineer in the United States is over $130,000 across all levels (entry-level to senior).
    3. No degree required. It's possible to get hired as a Machine Learning Engineer without having any college degree. You also definitely do not need a Computer Science degree to be a Machine Learning Engineer. The industry moves way too fast.
    4. Work remotely. Some Machine Learning Engineering jobs are remote. Work from the comfort of your own home, a coffee shop or even while travelling the world. Some roles even allow you to work on your own schedule.
    5. It's fun. And rewarding. You get to have a real-world impact. The work you're doing on a daily basis can have a huge impact on hundreds, thousands, or even millions of people. Robots, self-driving cars, natural language processing, artificial intelligence. Machine Learning is the cutting edge of technology!

    Other than yesterday, today is the best time to start a career as a Machine Learning Engineer.

    How long does it take to become a Machine Learning Engineer (and complete this Career Path)?

    Everyone is different. So it's hard to give a specific amount of time. The two biggest variables are the number of hours per week you're dedicating to completing the steps in the Career Path and your current experience level.

    Don't hold us to it but here's a rough guideline based on feedback we've received from past ZTM students on how long it takes to become a Machine Learning Engineer:

    1. 20-40 hours a week = 4-6 months. Students who have started from scratch as complete beginners (no matter their age!) and spend a few hours per day.
    2. 40-80 hours a week = 2-3 months. Students who are able to learn basically full-time and/or already have some experience (ex: CS students / Coding Bootcamp grads).
    3. 0-10 hours a week = 7-12+ months. Students from all experience levels but are only able to dedicate a few hours a week.

    Are there any prerequisites for this Career Path?

    A computer (Windows/Mac/Linux) and access to the internet. That's it! No previous experience is needed.

    If you haven't already, take our tech career path quiz. We'll give you our recommendation for which path is the best fit for you.

    How is a Career Path different from a course?

    Career Paths are like a full College curriculum. Our Career Paths give you the exact courses, workshops, challenges, articles and actions to take to go from absolute beginner to getting hired.

    Career Paths start with ensuring you know the foundations from scratch. But they go far beyond by teaching you advanced topics and non-technical skills that are essential for your career but aren't taught in Computer Science Degrees or Coding Bootcamps.

    Courses are more focused. Different courses have different goals. Some courses are a great fit for experienced Developers, Engineers and Programmers who want to level-up their skills in a specific topic or framework. Other courses cover a wider range of topics teaching the foundations and fundamentals for beginners.

    Can I change my Career Path?

    Yes. You can change your Career Path anytime. As a member of Zero To Mastery, you have unlimited access to all ZTM courses, workshops, challenges, articles and other materials needed to complete any of the ZTM Career Paths.

    What’s the ZTM Discord community and how can it help me?

    The ZTM Discord is our exclusive online community for ZTM students, alumni, TAs and instructors.

    How it helps you, short version: Increase the chances that ZTM students achieve their current goals and help them continue to grow throughout their career.

    Longer version: Learning alone is hard. We've all been there. We've all tried to learn new skills and struggled. It can be frustrating, daunting, and just plain challenging, especially if you're trying to change careers.

    We feel strongly that the Zero To Mastery Discord community is an essential part of the learning experience and greatly increases the chances for students to achieve their goals.

    It's crazy to think that Colleges and Coding Bootcamps charge you tens of thousands of dollars to provide you with this type of experience. It doesn't have to be that way!

    In fact, ~20% of ZTM students are also enrolled at a College or in-person Coding Bootcamp but feel like they just aren't getting all of the skills and support they need. But with ZTM, they do.

    Within the Zero To Mastery Discord community, you can:

    • Connect with other Developers, Engineers, Data Scientists, Designers
    • Form study groups and complete ZTM Career Paths and Courses together
    • Ask questions and get advice from other people at your same level as well as more experienced professionals
    • Get feedback on projects
    • Meet other students around the world (and likely even someone from your hometown!)
    • Learn how to answer questions and help other students which will accelerate your own learning
    • Get help from others with questions and exercises
    • Work on coding challenges and real-world open-source projects with other students

    It’s pretty awesome to see many ZTM alumni also active every single day, continuing to engage with the community, give back, and level up their own skills and career.

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