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FOR SOFTWARE ENGINEERS

AI Mastery

I'll teach you everything you need to utilize AI and build AI-powered apps. This is your step-by-step guide to becoming a modern software engineer.

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Why AI Mastery?

The One Reason I Decided to Create This Course

Over the last year I've been mentoring software engineers to land roles or advance to senior roles. It became very clear that AI was not to be ignored anymore… even for non-AI roles.

There was one specific case where someone I was working with was applying for a standard software engineering role but noticed in the interview rounds there was an interview about AI.

So not only were there interviews on DSA, system design, and behavioral — they now had dedicated AI interviews as part of the standard interview round. This AI interview took many hours of preparation to be able to intelligently communicate on AI topics.

Take note! This was for a NORMAL software engineering role. Not an "AI developer" or some AI role. Not a different career or niche of software engineering. This is not about becoming an AI developer — this is about becoming a modern software engineer.

We are at the point where you can spend months prepping for technical roles yet still fail to win because you left out a critical component of the interview process: AI competency.

If you've made it this far...

I already know you want to be on top of your AI skills.

AI should not be ignored.

I tried my hardest to ignore AI as long as possible because I was comfortable without it. I didn't think we needed it. At first I thought it was all hype.

But I couldn't ignore the statistics:

Global AI market set to grow nearly 5x by 2030
Companies using AI
AI boosts employee productivity

<sup>stats from explodingtopics.com/ai-statistics</sup>

What's Included in AI Mastery?

This course is split into three main modules.

Level 1You will learn to navigate the vast space of AI. Learn to work with the AI tools you really need, without the hype (incl. assistants, general-purpose LLMs, chatbots, specialized AI for specific dev tasks, and image / video generation AI for devs).

Level 2You will learn to work with local models and custom deployed models, and how to integrate with these LLMs in your applications.

Level 3 — Build a business with AIYou will learn how to use AI agents to build products and make money. I will show you a complete end-to-end example.

2 Bonuses to help you master the modern interviewing processes!

AI Foundations & Coding Tools

This module is designed to get you up to speed from a complete beginner to mastering all the tools you would want to use. Here we first focus on improving our overall AI knowledge.

We will cover all the AI tools you absolutely need to know as a software engineer, including general-purpose LLMs and chatbots.

This will set the foundation for the rest of the course, where we continue to go in more depth.

Prompt Engineering

Here we will master the art of prompt engineering for software engineers.

What even is prompt engineering? We'll dive deep into why we need to master it, what it is, strategies and frameworks to master, and learn behind-the-scenes information that will make you truly understand what you're learning and be able to apply it in the real world.

No more garbage outputs.

Integrating AI

Gain hands-on experience with AI APIs, third-party tools, AI agents, and LLMs in your own applications. You'll get your hands dirty diving deep into integrating cool AI features in your applications.

AI Agents

In AI Mastery you will learn to work with AI agents. Understand how they work and why you should learn how to use them.

Have AI work for you to build apps end-to-end.

AI in the interview process

BONUS!

AI in the Interview Process — AI-powered interviews and screenings

In this bonus you will benefit from learning about new interview processes and how they affect you. You will learn how to navigate interviews run by AI and how AI has impacted candidate screening and evaluation.

BONUS!

Master AI technical interviews — a new interview type for everyday devs

In this bonus you will benefit from learning about the actual AI topics you should master when the interviewer suddenly starts interrogating you on your AI knowledge, even though you were told this was just a "normal" software engineering role… I've seen it happen with my best students. AI skills are now standard, and it will be more common for these skills to be part of the standard interview rounds for software engineers, even if you're not interviewing for an AI-specific role.

Master AI technical interviews

AI Integration Project

We will integrate AI into a note-taking app that we built in the fundamentals course, using AI to summarize the data from our notes. This lays the foundation for building AI features in apps.

AI Integration Project
Offline Terminal AI LLM Project

Offline Terminal AI LLM Project

Custom AI chatbot in our terminal. Not just any terminal chatbot… we'll make it offline! Completely in our control:

  1. No internet required or big-tech dependencies that can disrupt your AI anytime
  2. Run entirely offline without exposing your data or needing an internet connection
  3. Run without limitations or credits — completely free to use as much as you'd like

Capstone Project

Capstone Project

Build a complete SaaS from beginning to end with AI

An entire tech start-up from scratch, using AI. Not just a concept, but everything end-to-end.

This will be an app capable of generating income that can be launched, sold, or displayed as a portfolio project. A true income-generating business idea — SaaS app, marketing, branding, and content creation, all with AI tools.

This will guide you through building an entire business with AI.

Course Outline

Are all Courses Made Equal?

I believe that the most important things in a course are:

  1. What content is taught
  2. In what order the content is taught
  3. How the content is taught (the delivery)

Many instructors believe the third point is not that important. As long as the information is shared, everything's good, right? Wrong!

It's vitally important that you learn from an instructor with a teaching style you connect with. This is exactly why I focus on delivering content in a special way. We start with concepts and understanding why we type the things we do. We then apply these concepts to code examples and projects. Each concept builds upon the previous, allowing us to be just one step out of our comfort zone — but not so far out that we're not learning.

Consider developing your skills like building a skyscraper. You start with the plans (the bigger picture this course gives you), then the foundation (the concepts), and then you build upward one layer at a time. You don't jump around from the foundation, to the roof, to the windows, to the walls. You follow a direct plan that allows the skyscraper to be built in the most efficient way possible. Following this plan not only gets an end result faster, but an end result that is better and stronger than if you just wing it.

AI Mastery

$397one-time
  • Full AI Mastery Course
  • Comprehensive eBook with explanations, extra resources, and code snippets
  • Downloadable source code
  • Lifetime access and any updates
  • Exclusive community with other engineers
  • Certificate of Completion
  • 💰 14-Day Money-Back Guarantee
Buy Now — $397

Hi, My name is Caleb Curry

When I started my career in software there was so much I didn't know. I had no clue what to study, what to expect, or how to actually get better.

I wish I had someone to help me layout the path to success.

Understanding the technology was only part of the battle. The hard part was staying disciplined, knowing what to study, and maintaining confidence.

Now, over 10 years later, I am still obsessed with software development and love learning new tech, but I've learned from everything I was doing wrong.

I've made it my mission to be the guide for those who are in the same shoes I was in. It doesn't matter where you are from, your age, or how much experience you have. I believe anyone can learn code and better their lives.

I knew a career in software could be good, but at first I did not yet understand the full potential. I had no idea I would be able to:

  • ✅ Work remotely (I didn't want to move),
  • ✅ Work on tech that interested me (I assumed I'd be stuck working on ancient software maintenance),
  • ✅ Define my own schedule and style of working,
  • ✅ Get better at coding causing me to enjoy it more (most people don't enjoy being bad at things),
  • ✅ Make $100-200K+ yearly doing what I loved.

Everyone is different in what they seek in life, but I think we can all agree that a career that offers fulfilling work, high pay, and flexibility is a major win (and it's completely achievable).

What I'm Known For

I've taught millions to code through YouTube (700K+ subs, 50 million views). I've covered C++, Rust, Python, full stack web development, databases, and much more.

Achievements unlocked:

  • Personally landed multiple offers in tech and software engineering. Latest offer was for $240K/yr ($180K base). 100% remote! (Yes, they still exist),
  • Co-founded a tech company supporting thousands of users all over the world,
  • Collaborated with top course publishers (Pearson, CourseCareers),
  • Have worked with leading tech companies (IBM, Oracle, MongoDB),
  • Speaker for conferences and universities,
  • Created the best course on the internet (let me prove it 😉).
Caleb Curry

Have Any Questions?