Become an AI Engineer

Go from beginner to job-ready by building and deploying production-level AI applications. Follow this step-by-step roadmap to go from beginner to mastering the modern AI stack, solving complex real-world problems, and landing your first AI Engineer role in 2026.

Earn on average 136,386 per year

US salary data collected from Indeed, LinkedIn, and Web3.career 2026.

5 Months

Average time students take to complete this career path.

Rated 4.8 out of 5 on Trustpilot

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Your career path

What You'll Learn

  • Gain a deep understanding of how Generative A.I. and Large Language Models (LLMs) work under-the-hood
  • Learn how to build AI systems using enterprise-level tools and skills
  • Get experience using the modern AI stack that big tech companies like Google, Anthropic, Amazon, Meta, and OpenAI use
  • How to ace all of your interviews, get more job offers and a higher salary
Course
Beginner
Prompt Engineering Bootcamp (Working With AI & LLMs): Zero to Mastery
32 Hours ·290 Lessons Prompt Engineering Bootcamp (Working With AI & LLMs): Zero to Mastery
Stop memorizing random prompts. Instead, learn how Large Language Models (LLMs) actually work and how to use them effectively. This course will take you from being a complete beginner to the forefront of the AI world.
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Course
Beginner
Complete Python Developer in 2026: Zero to Mastery
32 Hours ·346 Lessons Complete Python Developer in 2026: Zero to Mastery
Learn Python from scratch, get hired, and have fun along the way with the most up-to-date Python course on the web. Python is the entryway into the world of A.I., Cybersecurity, and many other high demand fields!
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Course · optional for you
Beginner
Learning to Learn [Efficient Learning]
5.5 Hours ·110 Lessons Learning to Learn [Efficient Learning]
Become an efficient learner and best version of yourself. You'll learn scientifically proven strategies, techniques & skills used by the world's top performers!
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Course
Intermediate
AI Engineering: RAG (Retrieval Augmented Generation) for LLMs
20 Hours ·185 Lessons AI Engineering: RAG (Retrieval Augmented Generation) for LLMs
Learn to make smarter AI systems by combining LLMs with Retrieval-Augmented Generation (RAG). Learn with real-world projects like chatbots, financial analysis tools, and more using OpenAI APIs.
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Course
Intermediate
AI Engineering: Build, Train, Fine-Tune & Deploy Models with AWS SageMaker
19.5 Hours ·165 Lessons AI Engineering: Build, Train, Fine-Tune & Deploy Models with AWS SageMaker
Learn to build end-to-end AI applications using AWS SageMaker & Hugging Face: prepare your own datasets, train, modify, and fine-tune your own models, then deploy and scale your AI applications into the real world.
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Course
Intermediate
Career Guide to Your Dream Job: Resumes, Interviews & Promotions
5 Hours ·80 Lessons Career Guide to Your Dream Job: Resumes, Interviews & Promotions
Learn how to take the next step in your career. Whether you’re job hunting or aiming for a promotion, this course gives you the ultimate career advantage no matter your industry or experience level.
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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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Course
Advanced
AI Engineering: Building AI Applications (LangChain, LLM APIs + more)
18.5 Hours ·194 Lessons AI Engineering: Building AI Applications (LangChain, LLM APIs + more)
Learn to build AI applications using LLM APIs and cutting edge tools including LangChain, LangSmith, and LangGraph. This is developer training for the new era of programming.
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Course · optional for you
Beginner
Future Proof Yourself: Goal Setting for Your Career
1 Hours ·3 Lessons Future Proof Yourself: Goal Setting for Your Career
Learn how to set strategic, actionable goals, adapt to changing trends, and create a career roadmap that keeps you on track for success.
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Course
Intermediate
Machine Learning with Hugging Face Bootcamp: Zero to Mastery
18.5 Hours ·121 Lessons Machine Learning with Hugging Face Bootcamp: Zero to Mastery
Learn Machine Learning using the Hugging Face ecosystem from scratch in this project-based course. From training to deployment, we'll learn it all and have fun along the way!
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Course
Intermediate
The AI Agents Bootcamp: Zero to Mastery
7 Hours ·83 Lessons The AI Agents Bootcamp: Zero to Mastery
Learn hands-on AI agent development using CrewAI, LangGraph, MCP, OpenAI and more. Build and deploy real multi-agent systems for automation, data workflows, and intelligent apps.
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Course
Beginner
The Data Engineering Bootcamp: Zero to Mastery
17 Hours ·201 Lessons The Data Engineering Bootcamp: Zero to Mastery
Master modern data engineering with Spark, Kafka, Airflow, AWS, and LLMs. Build real-time pipelines, data lakes, and production-grade ML workflows from scratch.
Course DetailsTake the Course
Action

Apply To 5 Jobs You Really Want

This time around, you have more knowledge and more practice. It's now time to take your job hunt seriously. Find 5 companies/jobs that you REALLY want to work for and make a serious effort applying to these jobs based on the tips you learned in the previous lessons. Don't take no for an answer and see if you can land an interview at one of these companies you chose. Once you have an interview lined up, move to the next section.

Action
Take Your Next Step

Now that you have completed this path, it's time for you to specialize and upgrade your skills into a specific market. You are now at the point where you need to decide what you want to do in your career. Take the career path quiz again and update your answers based on your newfound knowledge from this path. We will generate a new personal career path for you to take based on your new interests and skills.

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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 4.8 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

    Machine Learning Instructor

    Andrei Neagoie

    Lead Instructor

    Scott Kerr

    Generative AI Instructor

    Patrik Szepesi

    Machine Learning and Generative AI Instructor

    Still have questions?

    Who is this AI Engineer Career Path for?

    Anyone who wants a clear, step-by-step guide to becoming an AI Engineer from scratch and actually getting hired. More importantly, it’s for people who realize that paying $15,000 for a bootcamp or degree in a field that moves this fast is a bad investment.

    Let’s be honest: AI can get dense. We aren't going to bore you with theoretical math that you’ll never use. We’re going to focus on building, and yes, we’re actually going to make it fun. (Shocking, we know.)

    This path is perfect for you if:

    • You're starting from zero: Whether you're 18 or 50, this is a full curriculum that replaces a $10,000+ bootcamp for a fraction of the cost.
    • You value your time: You don't want to hunt for "the next step" on YouTube. You want a curated, logical sequence that leads to a job.
    • You want a portfolio that talks: You’ll build production-grade AI apps (LLMs, Agents, and RAG systems) that prove to recruiters you can actually code, not just prompt.
    • You want a community: You’ll learn alongside 100s of students at your level and 1,000s of mentors who have already landed the roles you’re after.

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

    • Outdated tutorials: In the AI world, six months ago is ancient history. Our courses are kept up-to-date.
    • The "basics" trap: You're tired of courses that stop at "Hello World" and never show you how to deploy a real product.
    • Irrelevant theory: No one is going to ask you to hand-calculate a neural net in a 2026 interview. We focus on the modern stack.
    • Tutorial hell: Feeling like you're following a script but learning nothing.
    • The lonely grind: Going in circles with no support to unblock you and keep you accountable.

    The Bottom Line:

    We aren’t here to give you 50 "filler" projects or 100 irrelevant challenges just to make the course look long. That’s a waste of your life.

    This path is designed to get you the skills you need to get hired as fast as possible, because your learning and enjoyment will 10x the day you get paid to do this.

    Why become an AI Engineer?

    Everyone will ultimately have their own reason(s) as to why they want to become an AI Engineer. But here are a few of the best reasons in our opinion:

    1. AI is the future. It's safe to say that AI isn't just a fad. It's a fundamental shift. The AI Engineering role is one of the fastest growing in tech, but it's still in it's infancy, so you have the chance to get in early.
    2. High demand = High salary. The average annual salary for an AI Engineer in the United States is over $100,000 across all levels (entry-level to senior).
    3. No degree required. It's possible to get hired as an AI Engineer without having any college degree. You also definitely do not need a Computer Science degree to be an AI Engineer. The industry moves way too fast.
    4. 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, healthcare, and much more.

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

    How long does it take to complete this career path and become an AI Engineer?

    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:

    1. 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 / existing Software Engineers).
    2. 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.
    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.

    Given how fast the industry is changing, we highlighly recommend completing the entire path as quickly as possible so that you have a great base of fundamentals to keep up-to-date with all the changes happening.

    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.

    Learn the skills to stand out and get hired. In the age of AI.

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