Teaching
Courses, workshops, and educational content on AI, machine learning, and data science.
I build courses that bridge the gap between AI research and real-world implementation. My courses are **hands-on, code-first, and designed for practitioners** — covering production RAG systems, agentic AI evaluation, clinical AI integration, and MLOps at scale. --- ## 2026 Course Launch --- ## Online Courses on Udemy --- ## Mentorship & University Teaching I also mentor early-career ML engineers through various programs. Topics include production ML, career strategy, and research-to-industry transition.
2
Courses Launching May 2026
60+
Hours of Content
18+
Modules
100+
Lessons & Labs
10 Modules 50 hrs 15+ Labs
A comprehensive Udemy course covering production-grade evaluation of agentic AI and RAG systems — retrieval metrics, generation quality, LLM-as-Judge, CI/CD quality gates, and production monitoring.
What You'll Build:
- Hybrid search pipeline with BM25 and semantic search
- Domain-specific chatbot with dynamic pricing
- Monitored, production-grade RAG system
8 Modules 14 hrs 12+ Labs
A complete practitioner curriculum covering HL7 v2 feeds, FHIR R4 APIs, Mirth Connect channel engineering, Epic SMART on FHIR, and production clinical AI inference — from raw healthcare data to deployed systems.
What You'll Build:
- HL7 v2 message parsing and validation pipeline
- FHIR R4 RESTful API client integrations
- Mirth Connect channel for clinical data transformation
- Epic SMART on FHIR authentication flow
- Production clinical AI inference with MLOps monitoring