Training Overview

Learn how to optimize Apache Spark, one of the most popular analytics engines.

Most AI problems inside organizations are leadership problems in disguise. This one-day program gives executives three practical frameworks the Nightmare Map, the North Star, and the Cube to recognize failure patterns, set vision before strategy, and make governance decisions they can act on immediately. No technical background required. No company disclosure needed.

Learn how to challenge the business implications of technical AI decisions and guide a promising idea towards responsible production use. In AI Translator Level 2, you will investigate a fictional prototype under pressure, determine what the evidence does and does not prove, and make decisions about experimentation, MVP, Proof of Value, industrialisation, adoption and monitoring. The course concludes with a two-hour certification exam that covers material from both Level 1 and Level 2. 

How software is made in the age of AI is changing: developers now spec, plan and verify while a coding agent writes the code. In 1 intensive day you experience it first-hand, in your own product role: one full cycle of agentic engineering, MVP-sized, with Claude Code or an equivalent. You design, build and verify your own app, website or platform, put it on GitHub, and ship a first version live.

Build blazing-fast microservices without the complexity. Master Go's goroutines and channels to handle 10,000 concurrent connections on a single server. Two days from beginner to deploying production gRPC services with streaming—Docker and Kubernetes teams love this language.

Build confidence with Kotlin Multiplatform in a hands-on foundation workshop. Learn where shared Kotlin code creates value and how teams can adopt it gradually in Android and iOS products.