Eruditology provides expert-led technical training for software engineers, technical leaders, and engineering teams working with modern software delivery, data platforms, cloud engineering, and AI-augmented development.
Courses are designed for teams that need practical depth: architecture trade-offs, production workflows, governance, code quality, testing, and measurable engineering capability.
17 courses shown
From Tool Usage to AI-Native Engineering Systems. A three-day executive-technical programme for senior engineers and technical leaders who need to redesign how software is built using generative AI.
It is not merely a course about using an AI coding assistant more effectively. It addresses engineering workflows, architectural decision-making, governance, organisational capability, and measurable AI leverage.
Practical use of generative AI across coding, testing, documentation, review, and team workflows.
Request Course OutlineStructured prompting patterns for reliable engineering analysis, code generation, refactoring, and validation.
Request Course OutlineTeam-level Copilot adoption, code review practices, guardrails, prompt patterns, and productivity measurement.
Request Course OutlineDesign and implementation patterns for agentic applications, tool use, state, orchestration, and evaluation.
Request Course OutlineCore Databricks concepts for teams building modern data engineering and analytics workflows.
Request Course OutlineLakehouse design, Delta Lake patterns, reliability, performance, and data platform architecture.
Request Course OutlineHands-on Spark development for data processing, transformation, performance, and production readiness.
Request Course OutlineExperiment tracking, model packaging, lifecycle management, and practical machine learning workflows.
Request Course OutlineKafka development fundamentals, producers, consumers, topics, delivery guarantees, and operational concerns.
Request Course OutlineArchitecture patterns for event-driven systems, integration boundaries, reliability, observability, and governance.
Request Course OutlineContainer fundamentals, image creation, development workflows, local orchestration, and deployment preparation.
Request Course OutlineGit workflows, pull requests, branching strategies, review practices, and team collaboration using GitHub.
Request Course OutlineModern C# language features, .NET development practices, testing, maintainability, and production code quality.
Request Course OutlinePractical Python for engineers building maintainable applications, automation, tests, and developer tooling.
Request Course OutlineTypeScript fundamentals, React component design, maintainable front-end architecture, and testing practices.
Request Course OutlineReliable browser automation, test architecture, CI integration, fixtures, debugging, and maintainable suites.
Request Course OutlineTell us about the team, technology stack, delivery goals, and constraints. We will help shape a suitable course or private team programme.