Data Engineering
Lakehouse fundamentals, medallion architecture, Spark performance, and production-grade orchestration.
Courses
Career-Focused Data & AI Learning Built for Real Delivery
Our courses are designed for students and professionals who want practical skills in modern data platforms and AI systems, from fundamentals through enterprise architecture.
You learn from research scientists with specializations, masters and PhDs in AI and Big Data, experienced in top global tech companies and focused on translating frontier research into real-world capability.
Bootcamps
Flagship Learning Tracks
Applied Gen AI & AI Agents
Prompt engineering, retrieval workflows, model evaluation, agent design, and enterprise guardrails.
Streaming & Real-Time Analytics
Event-driven pipelines, streaming ETL, observability, and decision-ready analytics at speed.
Course Modules
Technical Depth Areas
We teach with open source technologies including Apache Spark, MLflow, Delta Lake, Unity Catalog, Linux, PostgreSQL, R, Python, Kubernetes, Docker, Apache Kafka, TensorFlow, React, Git, and more.
Big Data Foundations
Machine Learning Delivery
AI Agent Architectures
Data & AI Governance
Feature Engineering
MLOps & Evaluation
Realtime Dashboards
Cloud Data Security
Reference Architectures
Outcomes
What Learners Achieve
Build Portfolio Projects
Complete hands-on capstones mapped to real business data and AI use cases.
Master Modern Tooling
Gain confidence with modern data platform workflows and associated enterprise practices.
Operate in Production
Learn deployment, governance, and reliability patterns for scalable solutions.
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