What you'll build4 outcomes
- 01Build reproducible training and inference pipelines with MLflow.
- 02Handle scalable data processing with PySpark and Airflow.
- 03Design streaming workflows with Apache Kafka.
- 04Deliver an end-to-end capstone from ingest to prediction.
Full curriculum11 items · 5 projects
01Course Introduction & Preparation
02Exploratory Data Analysis (EDA)
03Building Base Machine Learning Pipeline
04Mini Project 00 : EDA + Model Building
Project
05Build data/train/inference pipelines [MLflow Integrated]
06Scalable Data Processing & Orchestration : PySpark & Airflow
07Real-Time Pipelines with Apache Kafka
08Mini Project 01 : E2E Machine Learning Pipelines
Project
09Mini Project 02 : Inference Pipeline with Kafka
Project
10Capstone Part 1 : Streaming to Prediction Pipeline
Project
11Capstone Part 2 : End-to-End Delivery & Review
Project
Instructor
Isuru Alagiyawanna
Lead Instructor & Head of AI Engineering
Isuru leads Zuu Crew AI'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.
University of MoratuwaRobert Gordon University, UKHead of AI Eng, Veracity GroupAWS ML EngineerTensorFlow Certified