UI/UX Design
+ AI
Agents
Master end-to-end UI/UX Design and AI Agents with real-world, job-ready implementation skills. Build foundations in Python and SQL, ship pipelines with PySpark and Databricks, scale on Microsoft Fabric, and integrate Generative + Agentic AI into production data workflows.
Four things every UI/UX Design grad walks away with.
Most programs stop at tools. Ours makes you ship pipelines, platforms, and AI-powered data products that hiring teams can verify.
From "loads CSVs" to ships AI-native data pipelines.
Weeks 1–3 build Python and SQL depth. Weeks 4–7 cover Power BI and data storytelling. Weeks 8–10 move into PySpark, Databricks, and Fabric. Weeks 11–12 ship Generative + Agentic AI data agents.
Python + SQL for UI/UX Design
- Python data structures, iterators, OOP
- PostgreSQL querying, joins, windows, CTEs
- Database design, indexing, optimization
- Data file formats and transformation patterns
Power BI and business intelligence
- Power Query and source integrations
- Star schema modeling and DAX measures
- Advanced visuals, storytelling, KPI dashboards
- Publishing, sharing, governance, refresh
PySpark, Databricks, and Microsoft Fabric
- Spark DataFrames, joins, windows, optimization
- Databricks workflows, Delta Lake, Unity Catalog
- Fabric OneLake, Lakehouse, Warehouse, RTI
- Streaming, orchestration, and governance
Deploy AI agents that automate analytics, retrieval, and reporting across your data platform.
Use LLM APIs, LangChain, RAG, and LangGraph workflows with persistence and HITL. Add MCP tool access and enterprise guardrails. Your project connects pipelines, dashboards, and AI agents into a single production-ready data intelligence system.
Seven sections. 65+ modules. The AI-native UI/UX Design stack.
Jump to any section on the left. Click a module to see topics, hands-on lab, and key technologies.
Design Fundamentals
40+ tools, one production project.
You don't watch videos. You ship software.
Three full-production projects, each threaded through the entire curriculum. By the project, you've built the whole stack around them.
LMS analytics platform
Ingest learner events, build transformation layers, and publish executive and academic dashboards with AI-generated insight summaries.
HRMS data pipeline
Build secure ETL workflows for employee, payroll, and performance datasets with governed semantic models and decision-ready KPIs.
CRM intelligence stream
Create near real-time customer analytics with streaming events, automated anomaly flags, and AI-assisted executive reporting.
Your AI UI/UX Design agent in a real partner org.
Pick a real partner data problem. Deploy a production data pipeline and an AI agent that explains metrics, detects risks, and accelerates business decisions.
Taught by engineers who shipped agentic AI to production.
Aarav started as a React engineer at an Indian unicorn before leading platform teams across three continents. He's shipped React + FastAPI products for a healthcare network with 80M users, trained NLP classifiers in production for a top-3 bank, and — most recently — deployed the first LangGraph agent into a Fortune-500 insurer's claims pipeline.
His classes get two things other programs don't give you: a real engineer who still ships code, and a curriculum rewritten every quarter to match what hiring managers actually ask about.
Questions we actually get — answered honestly.
If the answer you need isn't here, book a 20-minute advisor call. No-slides, no-pitch — just your questions.
Class 014 starts 1 Jun 2026.
40 seats. 12 already claimed.
Book a 20-minute advisor call. We'll walk through the curriculum, match it to your current role, and show you two real projects from class 022.