Engineering: AI Systems & Platforms

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Katalyst is KitelyTech's delivery methodology. Engineering is the third of four pathways under Katalyst Enable™. Engineering trains technical teams to design, build, and operate AI-powered solutions at scale (architecture, data pipelines, and platforms), with hands-on exposure to building assistants and agents, RAG systems, AI security, operational monitoring, and cost governance.

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Courses

AI Engineering & Architecture

Designing the architecture, data pipelines, and infrastructure that let AI systems run at enterprise scale.

Advanced Data & RAG Implementation

Building retrieval-augmented generation (RAG) systems that connect AI models to enterprise data sources safely and accurately.

Building AI Agents

Hands-on development of agents that automate workflows and support business operations.

Enterprise AI Architecture & Platform Selection

Evaluating platforms, tooling, and infrastructure so the stack fits the initiative, not the other way around.

AIOps

Using AI to automate monitoring, incident response, and operational optimization across IT systems.

AI Security

Protecting AI systems, models, and data, including emerging risks like prompt injection and model misuse.

FinOps

Managing and optimizing the cost of AI infrastructure, cloud services, and model usage across the enterprise.

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The best work starts with a real conversation

Every engagement starts with a scoping conversation, not a guess. Tell us where you are, and we'll tell you exactly what it takes to get it right.
What to expect
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Scoped by the senior engineers who'll actually do the work
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A real conversation before any number gets attached
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Priced for what the work requires, nothing padded in