Python AI ML Course
Dive into real-world AI using Python: construct machine learning pipelines, train LightGBM and neural networks, enhance conversion rates and recommendations, launch FastAPI services, monitor data drift, and transform raw e-commerce data into reliable, revenue-boosting production models. This course equips you with hands-on skills to deploy impactful AI solutions in business environments, focusing on e-commerce applications with robust evaluation and monitoring techniques.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Gain expertise in practical AI and machine learning using Python through this intensive, project-based programme. You'll handle e-commerce datasets, create strong feature processing systems, train and optimise models including logistic regression, random forests, XGBoost, and LightGBM, and assess them using key business metrics. Discover FastAPI deployment, performance monitoring, data drift detection, model retraining methods, and A/B testing to ensure models are dependable, interpretable, and production-ready.
Elevify advantages
Develop skills
- Build production ML pipelines quickly with sklearn, LightGBM, and FastAPI.
- Design e-commerce models for conversions and rankings to increase revenue.
- Master model evaluation using ROC-AUC, PR-AUC, top-k, and business metrics.
- Monitor production models for drift, stability, and real-time performance.
- Engineer powerful features like RFM, session, and behavioural data for better accuracy.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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