How to Master Machine Learning Without Quitting Your Job

If you’ve tried grasping Machine Learning on your own, you probably know how it goes.

You start with a YouTube playlist or a free tutorial. Then work gets busy. Deadlines pile up. You lose track, and before you know it, you’re back to square one.

I’ve seen many professionals go through this: smart, motivated individuals who know ML could transform their careers but feel stuck between learning and earning.

That’s why this session is here. I’ll break down how working professionals can build real ML skills without taking a career break or putting life on hold. You’ll see exactly how the right program, structure, and support make all the difference.

What You’ll Learn in This Session

1. Why Learning ML Right Now Is Worth Your Time: The real-world demand for ML skills across industries and what it could mean for your career and paycheck
2. Why Self-Learning Often Fails: The missing pieces in most free or unstructured learning, and how to avoid the trial-and-error trap
3. How to Learn While You Work: A practical, proven approach that blends weekend live classes, hands-on projects, and catch-up flexibility so you never fall behind
4. What the Professional Certificate in AI and Machine Learning Program Offers: An inside look at the topics, tools, and projects you’ll work on
5. How to Decide if It’s Right for You: The skills you’ll need before you start, and the career outcomes you can realistically expect after

A Bit About Me

I am Solomon Promise, a seasoned data science instructor with years of experience in the field. As an instructor, I have successfully trained over 1000 learners and taught Python courses for Data Science, Machine Learning, and related topics. My strong theoretical knowledge and practical experience make me an influential and highly sought-after instructor.

In addition to my teaching experience, I have completed several data science projects for clients, showcasing my expertise in applying data science techniques to real-world problems. I was even ranked 56 out of 592 in the Zindi Hackathon for AutoInland Vehicle Insurance Claim Challenge, demonstrating my exceptional problem-solving skills and ability to work with complex datasets.

Some of my other notable projects include Credit Card Fraud Detection Using a Simulated Fraud Transaction Dataset, Health Care Provider Fraud Detection Using Medicare and Medicaid dataset, Voltage Prediction for all the Buses in the Nigeria Grid System, Employee Burnout Radio Prediction, and Opioid Detection in Patients. These projects highlight my ability to work with diverse datasets and apply advanced data science techniques to generate insights and solutions.

Why You Should Join This Live Session

• See exactly how to structure your learning without sacrificing work performance
• Learn from someone who’s helped professionals upskill successfully while working
• Get practical tips, tools, and resources you can start using immediately
• Join the live Q&A to get clear, practical answers to your career and learning questions.

Bonus: Join live and receive a downloadable “ML Learning Roadmap for Working Professionals” to guide your next steps.