Build Production Ready Machine Learning

What You Will Learn

• Build reproducible training and inference pipelines with MLflow.
• Handle scalable data processing with PySpark and Airflow.
• Design streaming workflows with Apache Kafka.
• Deliver an end-to-end capstone from ingest to prediction.

Full Curriculum

1. 01Course Introduction & Preparation
2. 02Exploratory Data Analysis (EDA)
3. 03Building Base Machine Learning Pipeline
4. 04Mini Project 00 - EDA + Model Building (Home Work)Project
5. 05Build data/train/inference pipelines [MLflow Integrated]
6. 06Scalable Data Processing & Orchestration - Apache PySpark & AirFlow
7. 07Real-Time Pipelines with Apache Kafka
8. 08Mini Project 01 - E2E Machine Learning PipelinesProject
9. 09Mini Project 02 - Inference Pipeline with KafkaProject
10. 10Capstone Project Part 1 - Streaming to Prediction PipelineProject
11. 11Capstone Project Part 2 - End-to-End Delivery & ReviewProject

Instructor

Isuru Alagiyawanna

Lead Instructor & Head of AI Engineering

Isuru leads Zuu Crew's technical direction and curriculum design. He has trained students and professionals across practical machine learning, MLOps, and AI engineering systems with a strong emphasis on shipping production-grade work.