Ace FAANG ML Design interviews with insights crafted by a former Meta Staff MLE, blending real-world scenarios and practical strategies.

Tech interviews can feel like a giant puzzle! You’ve got to balance work, life, and study—all while figuring out when to schedule interviews, how to get ready for each round, and how to stay calm through it all. But getting this right can make a huge difference in your job and your wallet. Imagine landing your dream job with less stress! In this class, you’ll learn the secrets to tech interviews, like how to plan, prep, and handle each interview round smoothly. We’ll cover how to balance your current job and life while preparing, plus we’ll show you how to manage different interview rounds for different companies. It’s everything you need to know to stay calm, stay focused, and go after the career boost you want. Take control of your future, boost your confidence, and get ready to ace those interviews. Join me, and let’s make tech interviews easier and more rewarding!

Getting ready for a coding interview can be tough—but it doesn’t have to be! This course is your all-in-one guide to passing the coding interview with confidence. We give you a clear, easy-to-follow template to help you succeed. You’ll go beyond just learning the basics. Here, you’ll -> truly understand key algorithms and why they work, -> Python tips and tricks that can make coding faster and easier, and -> how to spot patterns quickly, handle test cases with ease, and think through problems like a pro. This course is perfect if you want a simple, proven way to prep for coding interviews. Say goodbye to guesswork and hello to a job-winning plan. Join me to boost your skills, ace that interview, and land your dream job in tech!

Getting ready for an ML System Design interview? Don’t stress—it’s easier than you think! In this course, you’ll learn a proven system to follow, making it simple to tackle ML system design questions with confidence. I'll show you top patterns that show up in real interviews, so you’ll know exactly what to expect. Plus, you’ll learn how to study effectively without feeling overwhelmed. Whether you’re new to system design or just looking to brush up, this course will give you the tools, insights, and confidence to impress interviewers. Unlock the secrets to ML System Design, and get ready to land that job!

The behavioral interview can make a big difference in your career, and this course will show you exactly how to prepare! You’ll learn to tell your story in a way that shows your skills, strengths, and experience. I'll guide you on how to frame your answers to prove your competence and show off your seniority—all while sounding genuine and confident. In this course, we don’t just cover one type of interview. You’ll get ready for many other interviews that follow the same patterns, like project deep dives and other in-depth discussions. You’ll learn how to prepare effectively and keep calm, no matter what questions come up. Join me to master your story, build confidence, and tackle any behavioral interview with ease!

Get hands-on with the essential tools and frameworks that bring machine learning to life. This course covers key ML infrastructure concepts and dives into popular frameworks like PyTorch and Scikit Learn. You’ll discover best practices for model development, deployment, and operations. These tools will be valuable to you weather you are just starting out in ML or preparing for ML Coding or ML Infrastructure interviews. Whether you’re just starting or want to deepen your ML skills, this course gives you a solid foundation for real-world projects and insights into the core systems used in ML today. Join me and start building your ML future!

Whether you’re preparing for an ML Fundamentals interview or looking to build your own project, this course has you covered! Dive deep into the core concepts of machine learning and learn how to choose the right algorithms for different tasks. We’ll outline major areas in ML—from basics like supervised learning to advanced, state-of-the-art techniques—so you gain a clear, big-picture view of the field. By the end, you’ll have the confidence to apply foundational ML knowledge and explore more advanced methods with ease. Join me to strengthen your understanding and take your ML skills to the next level!

Congrats on your tech job offer! Now, it’s time to make the most of it. This course is your guide to negotiating like a pro, knowing what to prepare before you start, and learning how to onboard the right way for a successful transition. We’ll cover key strategies to boost your confidence and ensure you’re set up for growth from day one. Join me to walk through each step with ease—from offer to first day—and get ready to launch your tech career with confidence!

Learn about Converting to ML Engineer Program. Know what to expect, where to find help, and how to succeed without breaking a sweat.

Learn a proven framework to turn ML techniques into real-world solutions! This course guides you through every step, from planning to deployment, so you can create ML projects that truly deliver value. Discover how to apply ML effectively and make your work stand out!

Discover the proven path to a rewarding AI/ML career! Learn why many fail to transition effectively, and how to avoid common pitfalls. I'll guide you on what fundamentals truly matter to employers and how to showcase them. Plus, you’ll build an impactful project that people actually care about.

Unlock the power of networking as a system to fuel your career change! This course teaches you proven strategies to build meaningful connections and navigate career shifts successfully. Discover how to leverage relationships—because in any career, it’s all about the people who support you.

Learn how to create a personal knowledge system to capture and organize everything you learn. Discover what information you’ll wish you’d tracked, how to 10x your learning process, and best practices for documenting and showcasing your projects. This course helps you build a powerful resource for interview prep, career growth, and lifelong learning.