Machine Learning & AI at ZTM

Machine Learning & AI has exploded in recent years thanks in part to advances in data storage, collection, and computing power. It’s changing the way we work and live. From self-driving cars to fraud detection to improving healthcare. It’s one of the hottest and most in-demand fields in tech.

Our courses, guides, and free resources will help you start and accelerate your career in the world of Machine Learning and A.I.

New to Machine Learning & AI? Get started here.

Become a ML/AI Engineer

16 milestones 15 courses

Step-by-step roadmap where you'll learn to code and build a portfolio.

Curated curriculum of courses, workshops, challenges, projects, and action items.

Become a ML/AI Engineer from scratch and actually get hired.

Go to Career Path
Earn on average per year:

$189,291

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

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Take our 2-minute quiz and we'll help you find the right path 👇

What about other tech career paths? Web Development, DevOps, UI/UX Design, Cyber Security, Data Analytics, and more. We've got you covered. Check out all career paths here.

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Tutorials & Guides

Take your Machine Learning and A.I. skills to the next level with these expert tutorials & guides.

6-Step Framework To Tackle Machine Learning Projects (Full Pipeline)

Want to apply Machine Learning to your business problems but not sure if it will work or where to start? This 6-step guide makes it easy to get started today.

NumPy 101: Intro To Numerical Data Manipulation With NumPy + Python

Interested in ML, Python, and large Datasets? In this intro guide to NumPy + Python, I break down the key features and commands, with code examples.

Pandas 101: Intro To Numerical Data Manipulation With Pandas + Python

Learn the core fundamentals for data manipulation with Pandas and Python (using code examples)!

Beginners Guide To Matplotlib (With Code Examples)

Learn matplotlib from scratch with this step-by-step guide using code examples. By the end, you'll be plotting like a pro and learn a few tricks along the way.

Introduction to Scikit-Learn For Beginners

Learn how to shortcut and simplify the majority of Machine Learning tasks in this beginner Scikit-Learn tutorial (including my code and end-to-end workflow)!

Deep Learning With TensorFlow: From Setup To Data Preparation

Learn the essentials of setting up your environment, acquiring and preparing data, and transforming it into a TensorFlow dataset. (With code examples!)

From our video library

Check out a few of our most popular videos below or head to the ZTM channel to see 100s more. New videos every week!

18 min watch

How to NOT get replaced by AI in 2024

14 min watch

How to Become an AI Developer in 2024!

11 min watch

GPT-o1 Just Launched… But What Is OpenAI Hiding?

7 min watch

Is GPT-4o the Most Powerful AI Yet?

34 min watch

Introduction to Prompt Engineering

10 min watch

Devin AI Programmer... Overrated!

6 min watch

Meta Llama 2: The Beginner's Guide! (Trained on 2 TRILLION Words 😱)

13 min watch

You Won't Believe What the State of AI Survey Uncovered!

59 min watch

Deep Dive with Daniel Bourke | Will AI Take Over, Worst Part of ML, AI Anxiety & 20+ More Topics

Meet our Machine Learning & AI Instructors

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

Daniel Bourke

Daniel Bourke

Machine Learning Instructor
Andrei Neagoie

Andrei Neagoie

Lead Instructor
Diogo Resende

Diogo Resende

Data Analytics Instructor
Andrei Dumitrescu

Andrei Dumitrescu

DevOps & LLMOps Instructor

Frequently Asked Questions

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.

Thousands of happy, successful students

Our Machine Learning & AI courses and career paths and the ZTM 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.

Rated 4.8/5.0 on TrustPilot by 100s of happy students

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