Training Catalog
Level up your team's skills with expert-led, hands-on programs across AI, modernization, architecture, and data.
Ship production-grade AI.
From LLM fundamentals to autonomous agents and MLOps — pragmatic training for engineering teams building real AI systems.
AI Engineering Fundamentals
Core concepts behind modern AI systems: LLMs, embeddings, vector search, tool use, and the engineering patterns that make them production-safe.
Applied Generative AI
Build reliable generative AI features end-to-end: prompt design, RAG pipelines, evals, guardrails, and cost-aware architecture.
Building Production AI Agents
Design and ship autonomous agents with tool pipelines, memory, approval gates, and observability — from prototype to scale.
LLM Integration Patterns
Proven patterns for plugging LLMs into existing systems: routing, fallback, streaming, caching, batch vs. realtime, and multi-model orchestration.
MLOps Essentials
Version models and datasets, automate training/eval pipelines, manage drift, and run predictable deployments for ML and LLM workloads.
Modernize without rewriting everything.
Evolve legacy estates into scalable, cloud-native systems — pragmatic migration patterns that keep the business running.
Legacy System Modernization
Strategies for modernizing monoliths without a full rewrite: strangler fig, anti-corruption layers, incremental decomposition, and data migration.
Cloud-Native Architecture
Design systems for the cloud from day one: twelve-factor services, managed infrastructure, resilience patterns, and cost-aware scaling.
Event-Driven Modernization
Move from request/response monoliths to event-driven systems: outbox, CDC, choreography vs. orchestration, and schema evolution.
API-First Design
Treat APIs as products: contract-first design, versioning, governance, developer experience, and the economics of internal platforms.
Platform Engineering
Build an internal developer platform: golden paths, self-service infrastructure, paved roads, and measuring developer productivity.
Foundations that scale.
Our flagship programs on event-driven, reactive, and microservice architectures — battle-tested across real production systems.
EDA Foundation
Learn the basics of Event-Driven Architecture and expose use cases relevant to your organization.
EDA Integration Patterns
Deep dive into integration patterns for Event-Driven Architecture, drawn from real production scenarios.
Microservice Architecture
Real-case microservice integration patterns, decomposition strategies, and distributed-system pitfalls to avoid.
Reactive Architecture
Apply the principles of reactive programming at the system level — resilience, elasticity, and message-driven design.
Data as a first-class asset.
Govern, transform, and observe the data that powers your products and decisions.
Data Transformation
Focuses on data as a critical business resource, covering architecture, governance, and management practices.
Streaming Data with Cortex
Hands-on with the Cortex Data Framework: build real-time pipelines, state stores, CDC flows, and production-grade stream processing in .NET.
Observability & SRE
Instrument systems with OpenTelemetry, define SLOs, run effective on-call, and turn incidents into permanent reliability gains.
Teams that ship.
Modern delivery practices that align engineering, product, and business — without the usual agile theatre.
Modern & Tribe Workspace
Transform your workplace into a modern collaboration model using the latest team topologies and agile methodologies.
Ready to level up your team?
All programs are delivered remotely or on-site, tailored to your context. Tell us about your team and we'll shape a program that fits.