ByteByteGo
Thursday, Oct 29 · 12:00 PM ET · Live On Zoom
How To Future-Proof Your Software Engineering Career In The Age Of AI
Join us live for a free 90-minute masterclass to help you build the 3 essential skills for becoming an AI Native Engineer in 2027.
In This Live Masterclass, You'll Walk Away With:
The 3 foundational AI engineering skills you need in 2027
See how LLMs, RAG, and agents fit together, and why understanding these foundations matters more than chasing the latest AI tools.
Why coding with AI isn’t the same as engineering AI systems
See the difference between using AI to generate code and building applications where AI is part of the system itself.
The AI projects that make your portfolio stand out
See what separates a simple chatbot demo from an AI application that demonstrates real engineering judgment.
The Gen AI roadmap we’d follow starting today
Learn which skills to prioritize, what to learn next, and how to make progress without piecing everything together from random tutorials.
Learn from the team behind the #1 technology newsletter
ByteByteGo has taught system design and AI to millions of engineers. This workshop is built the same way: visual, practical, no fluff.
Meet your hosts
Curtis Einsmann
Curtis Einsmann is a software engineer with a decade of experience across Amazon Web Services and Gumroad. At AWS, he worked on Inspector, Artifact, and Educate, the program that helped millions of students get hands-on with cloud technology. At Gumroad, he built AI-powered learning platforms that creators use to teach their own audiences. Today he works at the intersection of AI engineering and education, and hosts ByteByteGo Live sessions alongside the engineers who build these systems in production.
- A decade of experience across Amazon Web Services and Gumroad
- At AWS, worked on Inspector, Artifact, and Educate, which helped millions of students get hands-on with cloud technology
- At Gumroad, built AI-powered learning platforms that creators use to teach their own audiences
Ali Aminian
Ali Aminian is a best-selling author of multiple books on machine learning and generative AI. With over a decade of experience at leading tech companies, he has built AI systems that are intelligent, safe, and efficient. He also contributes to AI courses at Stanford University, combining technical expertise with a passion for teaching.
- 10+ years building large-scale ML systems at Google and Adobe
- Co-author of Machine Learning System Design Interview and Generative AI System Design Interview
- Contributes to AI courses at Stanford University
100,000+ success stories
Engineers who learned with ByteByteGo and used it to level up, switch teams and land offers at the companies they wanted.
I was able to quickly ramp up on system architecture, especially in domains I wasn’t previously familiar with. In just three months, it helped me land a new role at LinkedIn.
I was a Tech Lead at FAANG, but needed help in getting up to speed with unfamiliar domains. If you put in the work, you'll acquire the breadth and depth of knowledge you need for talking about bottlenecks and alternatives, as expected of a Tech Lead.
The in-depth, easy-to-understand explanations of complex topics, along with the vast number of design use cases covered, significantly accelerated my learning. As a result, I got into Meta.
Is this workshop for you?
Decide in 30 seconds. We'd rather you skip it than sit through something that isn't right for you.
This is for you if
- You're a software engineer who wants to stay valuable as AI changes how software gets built.
- You've used ChatGPT or an API but feel unsure how to build a real system on top of an LLM.
- You want to know which AI model to pick, and how RAG and agents fit into a real application.
This is not for you if
- You want a no-code tutorial or a list of prompt tricks.
- You're looking for a deep math course on training models from scratch.
- You want to hear about the AI hype cycle instead of building something.
Save your free seat
Join Curtis and Ali live and learn the 3 skills that make you an AI Native Engineer.
- Thursday, October 29, 2026 at 12:00 PM ET
- 90 minutes, live and hands-on
- Limited to 500 live seats
- 100% free. No card required.
Bonus
Get Exclusive ML Resources — Constantly Updated!
FAQs
How much does it cost?
It's 100% free. No card, no upsell to attend.
Will there be a replay?
Yes, everyone who registers gets access to the replay. But the bonus is for live attendees only.
How long is the workshop?
90 minutes in total: about 60 minutes of training, plus a short live Q&A at the end.
Do I need anything to attend?
Just a browser. We'll email the join link as soon as you register, and again right before we go live.
What are the prerequisites?
Basic computer science knowledge and Python are required to complete the projects but not needed to follow the lectures and live coding sessions.