Beyond the Model: Engineering Real-World ML Systems
🚀 Beyond the Model: Engineering Real-World ML Systems
High model accuracy is just the beginning. The real challenge is turning models into reliable, scalable systems.
This interactive webinar helps beginners move from theory to production. You’ll learn how to structure ML projects, build clean data pipelines, manage reproducibility, and deploy models as real-world services.
🎯 What You’ll Learn
📦 Move from notebooks to production-ready architecture
🛠 Build robust, maintainable ML pipelines
🌍 Deploy models as APIs and monitor performance
📚 Understand real-world case studies and trade-offs
💻 Apply everything through hands-on exercises
🧠 Skills You’ll Gain
Systems-level thinking beyond model accuracy
Practical ML engineering and deployment experience
Confidence to build and ship end-to-end ML systems
👥 Who It’s For
Beginners with basic ML knowledge
Students preparing for ML roles
Developers ready to deploy real models
Host & Instructor:
Esther Kudoro
AI | ML Engineer
Format & Access
Format: Live virtual webinar
Accessibility: Join from anywhere in the world
Pricing: Free
Date & Time: 24th March 2026, 12:30 PM [UTC+1]
Important Instructions
• Registration is mandatory.
• The Microsoft Teams joining link will be shared via email 2 hours before the session.
• Please ensure you register with a valid email address.
• Seats may be limited.
👉 Click Register to reserve your seat.
By the end, you won’t just train models —
you’ll engineer ML systems that work in the real world.