Learn To Code With AI

Turn your ideas into real software. Learn to code, work with modern AI tools, and build and launch websites, apps, and automations, even if you’ve never written a line of code. Build the practical skills needed for the future.

Rated 4.9 out of 5 on Trustpilot

4 Months

Average time students take to complete this career path.

Andrei NeagoieScott Kerr+
Taught by: Andrei Neagoie & Scott Kerr and 6 more
Last updated: September 2026
Join ZTM students at companies like these learning AI to stay ahead.

Your Step-By-Step Path

Complete this path and you'll:

  • Turn your ideas into real, working websites and apps, even if you have never written code before
  • Learn the essential coding fundamentals so you understand what AI is building and stay in control
  • Use ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, and other leading AI tools as coding partners
  • Plan features, user flows, and technical requirements before asking AI to write the code
  • Give AI the right instructions and context so it produces better code with fewer mistakes
  • Build polished front-end and full-stack applications that work with real data and external APIs
  • Add AI-powered features such as chat, image analysis, intelligent search, and AI assistants to your apps
  • Read, review, and improve AI-generated code instead of blindly accepting whatever it produces
  • Find and fix bugs faster by using AI to investigate errors, test solutions, and explain unfamiliar code
  • Catch security, dependency, and quality problems before they make it into your finished application
  • Use professional developer tools and workflows including the terminal, code editors, Git, GitHub, and deployment
  • Build and launch portfolio-ready projects that prove you can create real software with AI
Course
Beginner
Vibe Coding Bootcamp: Build Your Wildest Dreams From Scratch
18 Hours ·158 Lessons Vibe Coding Bootcamp: Build Your Wildest Dreams From Scratch
If you can dream it, you can build it. Learn to code by using AI tools like Cursor, Copilot, Claude, Gemini, ChatGPT, open source tools & more by crafting your vision and building 10+ professional projects.
Course DetailsBUY COURSE - $299
Course
New!
Claude Code Bootcamp: Design, Build, Test and Deploy with Claude
15 Hours ·100 Lessons Claude Code Bootcamp: Design, Build, Test and Deploy with Claude
Master Claude Code and Claude Design to plan, build, test, and deploy production-ready web apps. Learn how to give Claude the context, standards, and verification loops it needs to tackle serious software.
Course DetailsBUY COURSE - $299
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.
Course DetailsBUY COURSE - $299
Course
Intermediate
Understand AI-Assisted Software Development: Become a 10x Developer
5 Hours ·129 Lessons Understand AI-Assisted Software Development: Become a 10x Developer
Learn AI-assisted software development with a practical understanding of LLMs, context engineering, code generation, agent skills, code review, and quality control.
Course DetailsBUY COURSE - $199
Course
Beginner
Python for Beginners
3 Hours ·38 Lessons Python for Beginners
Want to learn the fundamentals of Python? Start here. Learn Python basics step-by-step. Run code, understand data types, variables, strings, logic, and start building your Python skills fast.
Course DetailsBUY COURSE - $99
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.
Course DetailsBUY COURSE - $199
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.
Course DetailsBUY COURSE - $199

See less 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 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.

    Andrei Neagoie

    Lead Instructor

    Scott Kerr

    Generative AI Instructor

    Patrik Szepesi

    Machine Learning and Generative AI Instructor

    Tony Alicea

    Development and AI Instructor

    Still have questions?

    Is this learning path suitable for complete beginners?

    Yes. This path is designed to take you from no coding experience to building and launching real websites, apps, and automations with AI.

    You will start with the foundations and learn the essential coding concepts, tools, and workflows as you build. You do not need a computer science degree, technical background, or previous experience using AI.

    All you need is a computer, an internet connection, and a willingness to learn and build.

    Will I actually learn to code, or will AI do everything for me?

    You will learn to code and understand how software is built, while using AI as a powerful coding partner.

    The goal is not to blindly ask AI to generate an entire application and hope it works (spoiler: it doesn't... don't do that). You will learn how to plan projects, give AI the right context, review the code it produces, identify mistakes, debug problems, and improve the final result.

    By understanding the fundamentals, you will stay in control of your projects instead of becoming dependent on whatever an AI tool gives you.

    What will I be able to build after completing this path?

    Your imagination is your only limitation! We'll teach you to turn your ideas into complete, working apps and websites.

    Throughout the path, you will build projects such as interactive games, responsive websites, full-stack applications, a news reader that uses live data, a podcast player, an offline recipe app, AI-powered tools, intelligent assistants, automated workflows, and even your own professional developer portfolio if you're looking to apply for AI developer jobs.

    You will work with front-end interfaces, back-end functionality, external APIs, real data, AI models, and deployment tools. The goal is to give you the skills and confidence to plan, build, improve, and launch your own projects, not just copy and paste from others.

    Is this path only for people who want to become software developers?

    No. This path is valuable for anyone who wants to turn ideas into working software, apps, and wesbites.

    It's a great fit for:

    • Aspiring developers who want to build job-ready skills and a portfolio
    • Entrepreneurs who want to prototype products
    • Freelancers who want to build websites and apps for clients
    • Creators who want to launch their own ideas
    • Professionals who want to build internal tools or automate repetitive work

    You do not need to be pursuing a traditional developer job to benefit from knowing how to build and code with AI.

    Is this path useful if I already know how to code?

    Yes. Experienced developers can use this path to modernize their development workflow and learn how to use AI more effectively throughout the software development process.

    You will learn how to use AI to plan features, generate and refactor code, investigate errors, improve documentation, review dependencies, identify security concerns, write tests, and handle repetitive implementation work.

    Instead of replacing your existing development knowledge, these skills help you apply it more efficiently so you can build more, solve harder problems, and ship projects faster.

    Which AI coding tools will I learn to use?

    You will get hands-on experience with many of the leading AI models and coding tools, including ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, and open-source AI tools.

    You will also learn how to use professional development tools and workflows such as code editors, the terminal, Git, GitHub, APIs, version control, and deployment.

    The path goes beyond teaching one specific tool. You will learn the underlying skills and workflows that help you evaluate new tools, choose the right tool for each task, and adapt as the AI coding ecosystem continues to evolve.

    Do I need paid subscriptions to ChatGPT, Claude, Cursor, or other AI tools?

    No you don't need any paid subscriptions. While some courses will show you and utilize features from paid AI subscriptions, you will be able to learn everything without a paid AI subscription and will often be provided with alternative free options as well.

    Will the courses be updated as AI coding tools change?

    Yes. The courses included in this path are updated by our instructors as tools, models, workflows, and industry best practices evolve.

    Coding and AI tools and models will continue to change and evolve, which is why the path places such a large importance on also teaching you fundamentals and transferable skills such as project planning, context engineering, code review, debugging, testing, security, and evaluating AI output.

    These underlying skills will remain valuable even as new models and coding tools replace the ones that are popular today.

    Do I need to complete every course in the path?

    No. The path gives you a recommended sequence, but you can adapt it to your experience and goals.

    We recommend that complete beginners follow the courses in order because the knowledge and skills build on one another. More experienced developers can move faster through familiar material or focus on the AI-assisted development topics that are most relevant to them.

    Courses marked as optional can be skipped or saved for later. You also have lifetime access to completed course materials for as long as your chosen purchase option provides access, so you can return when you are ready.

    How long does it take to complete the Learn to Code with AI path?

    Based on our experience, it takes people anywhere from 3-12 months to learn to code, but everyone's situation is a little bit different and there is no required schedule or deadline.

    Your completion time will depend on your previous experience, how many hours you study each week, how deeply you explore the optional courses, and how much time you spend building and improving your own projects.

    You can move quickly through topics you already understand, slow down when you need more practice, and learn entirely at your own pace.

    What is the difference between this path and the AI For Beginners path?

    The AI For Beginners path teaches you how to confidently use AI tools to work faster, solve problems, create content, analyze information, and become more productive in almost any role. It does not require you to become a programmer or focus primarily on building software.

    The Learn to Code with AI path is for people who want to use AI to create websites, apps, automations, and other software. You will learn coding fundamentals, professional development tools, debugging, APIs, version control, deployment, and how to review and improve AI-generated code.

    Choose AI For Beginners if your primary goal is to become highly capable at using AI. Choose Learn to Code with AI if your primary goal is to build software with AI.

    What is the difference between this path and the Build The AI path?

    The Build The AI path goes deeper into how artificial intelligence systems actually work. It is designed to give you the technical skills needed to pursue a career as an AI Engineer, including machine learning, deep learning, data preparation, model training and fine-tuning, AI agents, Retrieval-Augmented Generation, and deploying production-ready AI systems.

    The Learn to Code with AI path is for people who want to use AI to create websites, apps, automations, and other software. You will learn coding fundamentals, professional development tools, debugging, APIs, version control, deployment, and how to review and improve AI-generated code.

    Choose Learn to Code with AI if your primary goal is to build software faster and more effectively with AI. Choose Build The AI if your primary goal is to understand, build, train, and deploy AI systems and be able to get hired as an AI Engineer.

    Does this path include advanced AI development topics?

    Yes. The path begins with beginner-friendly coding and AI-assisted development, then gives you opportunities to explore more advanced topics such as AI agents, Retrieval-Augmented Generation, AI application frameworks, model deployment, and working with open-source models.

    Some courses are marked as optional, allowing you to customize the path around your goals. You can focus on the core skills required to build websites and apps, or continue into more technical AI development once you are ready.

    You are not expected to understand the advanced material before starting. The path is structured to build your knowledge progressively.

    What happens when AI generates incorrect, insecure, or low-quality code?

    Learning how to catch these problems is a central part of becoming an effective AI-powered developer.

    AI coding tools can produce code that looks convincing but contains bugs, security vulnerabilities, unnecessary dependencies, poor architecture, or incorrect assumptions. That is why this path teaches you to understand the fundamentals, review AI-generated code, test what it produces, investigate errors, and ask better follow-up questions.

    You will learn when to accept an AI suggestion, when to improve it, and when to reject it completely. The goal is to use AI to increase your capabilities without surrendering your judgment.

    What support will I receive if I get stuck?

    You will receive access to the private ZTM community discord server, where you can learn alongside students, developers, alumni, mentors, teaching assistants, and instructors from around the world.

    You can ask technical questions, get help with exercises, discuss AI tools and development workflows, receive feedback on projects, join study groups, and learn from people who are a few steps ahead of you.

    Learning to code can be challenging, especially when you encounter your first difficult bug. Having an active community gives you somewhere to turn when you need guidance, motivation, or a second opinion.

    What happens if I join and decide it isn’t right for me?

    Well, first of all, we'll be very sad. But we're reasonable people so we provide a no questions asked 30-day money back guarantee.

    Just email support within 30 days of purchasing and they'll provide you a refund. So stop procrastinating, you've got nothing to lose!

    So start the path, explore the courses, and decide whether the teaching style, curriculum, projects, and community are right for you. We're confident you're going to love it.