Top 5 Most Reliable $100K+ Tech Careers for 2026
Learn where smart people are moving next - and which jobs actually survive layoffs
📅 July 15th, 1 PM California
📍 Live on Zoom
📍 Live on Zoom
🎟️ Free entry - 21/50 spots left
Data Scientist
AI/ML Engineer
QA Engineer
Machine Learning Engineers
Product Manager
Deep Learning
CyberSecurity
Register Now!
Just type your contacts
It's totally free
What You’ll Learn
- The 5 tech careers that keep hiring even during downturns
- Which roles AI is replacing (and which ones are rising)
- How to pivot into high-demand fields without starting from scratch
- Real numbers, real data — no hype, no guesswork
Meet the Speakers
Senior Engineer Manager, SDET
Sergii Khromchenko
Tech Lead AI Data Scientist
Ihor Biruk
Built multiple 6-figure programs helping people transition into tech. 10+ years mentoring QA and Automation Engineers worldwide.
Top-300 Machine Learning Professional in the World Data Scientist & AI Expert shaping how the next generation of engineers think.
Who This Is For:
We work hard every day to make life of our clients better and happier
Professionals looking to transition into AI/ML roles
Data analysts wanting to level up their skills
People in IT who are curious about machine learning
Anyone fascinated by AI and ready to learn
Featured Topics
- -1-ML / AI EngineerHighest demand, lowest layoffs
- -2-CybersecurityProtect what everyone else builds
- -3-Data ScienceTurning chaos into clarity
- -4-QA EngineeringConsistency that keeps companies alive
- -5-Product ManagementThe brain of the operation (with high reward and risk)
Why Join?
Because the market is cold - and this webinar will show you how to stay hot.
You don’t need luck. You need a strategy.
You don’t need luck. You need a strategy.
23/50 spots left - Reserve yours now!
Don’t wait for layoffs to teach you what you should’ve learned sooner.
🗓️ Month 1: Tabular Data Mastery & Foundations
- Focus: Mastering the data science toolkit, EDA, and core regression models.
- Project: House Prices - Advanced Regression Techniques
- You'll build models to predict home values, mastering feature engineering and regression on a complex, real-world Kaggle dataset.
- (Skills: EDA, Feature Engineering, Regression Models, XGBoost, Kaggle Competitions)
Main Project Goal: Build the v0.1 command-line version with simple, rule-based responses.
Our YouTube Channel
Learn from the Experts
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We believe in sharing knowledge, so on our channel, you'll find:
Student success stories
Tutorials and useful materials for aspiring QA engineers
Tips on interviews and job opportunities in the QA field
With over 1 million views, our channel has become a trusted resource for learning and growth in the QA industry.
Student Success Stories
Nothing speaks louder than real success stories. Our students come from different backgrounds, but they all have one thing in common — they successfully transitioned into QA careers after completing our program.
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