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Courses, lectures, and lecture series. Conference talks live in the talks section.

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HSE University2026

Cloud, Data, and AI Platforms for AI Business

A guest lecture on resources for AI projects and a seven-lecture course: cloud technology basics, data platforms, DataOps/MLOps, AI platforms, AIOps, and a hands-on lab.

  1. Resources for an AI Project: Past and Present
    #AI
  2. Cloud Technology Basics
    #AI#Platform
  3. Cloud Infrastructure for AI Business
    #AI#Platform
  4. Data Platform Basics
    #AI#Platform
  5. DataOps / MLOps for AI Business
    #AI#Platform
  6. AI Platform Basics
    #AI#Platform
  7. AIOps / LLMOps for AI Products
    #AI#SRE / Reliability
  8. Lab: Executive Decision Agent
    #AI#Leadership#Platform
Central University2024–2026

Lectures on Software Development and Distributed Systems

The evolution of development approaches and distributed systems trade-offs: CAP, PACELC, consistency models, and Cassandra.

  1. Evolution of Development Approaches
    #Architecture#Platform
  2. CAP, PACELC, and Consistency Models
    #Architecture
ITMO University2025

Lecture on the Future of Software Development

Software development in 2030: AI agents, AlphaEvolve, SE 3.0, and engineering metrics in the agent era.

  1. Software Development in 2030: Hypotheses About a (Not So) Bright Future
    #AI
Strugatskys Lecture2025

The Strugatsky Brothers for Engineers

Pair programming, the Noon Universe, NIICHAVO, and engineering ethics through the lens of the Strugatsky brothers.

  1. The Strugatsky Brothers for Engineers
    #Leadership
PM Course2020

Project Management Course

A short intro for engineers and managers: PMI, IPMA, PRINCE2, project vs product vs operations, programs, and portfolios.

  1. Project Management — Short Intro
    #Leadership
tellmeabout.tech2026

AI-Native Development Lecture Series

Ten lectures on how AI reshapes the engineering process: from classic PDLC to AI-native organization, platform, measurement, evals, and context design.

  1. From Classic PDLC to AI-Native Development
    #AI
  2. From AI-Native Development to AI-Native Organization
    #AI#Leadership
  3. AI Adoption in Organizations, Grigory Oster Style
    #AI#Leadership
  4. From Classic Jira Task Management to AI-Native Task Management
    #AI#Product
  5. How Big Tech Plans to Adopt AI-Native Development in 2026
    #AI
  6. From AI-Native Development to AI-Native Platform
    #AI#Platform
  7. From AI-Native Development to AI-Native Measurement
    #AI#Leadership
  8. Building Evals for Agents Within the SDLC
    #AI
  9. Modern Approaches to Mixed Observability for GenAI Applications
    #AI#SRE / Reliability
  10. From Service Design to Context Design
    #AI#Architecture