AI Agent Corporate Training.

AI agents are the fastest-growing training request we see. We teach applying agentic AI to real pipelines — and the same team carries on into actual agent system builds.

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What we cover

  • Structuring prompt and context engineering
  • Applying agentic AI to work pipelines
  • Deriving an agent strategy grounded in LLM capabilities
  • RAG training built on AWS SageMaker and QuickSight

Frequently asked questions

How long does the training take?
It starts with structuring prompt and context engineering and continues into applying agentic AI to work pipelines. Concept and strategy programs run as short intensives; programs that include RAG build exercises run as multi-session tracks.
Is it only for developers?
Both practitioners and planning or decision-making roles attend. Programs split into strategy tracks aimed at deriving an agent strategy, as at Treenod and Sinjimoru, and technical tracks covering RAG builds on AWS SageMaker and QuickSight, as at SK innovation E&S.
What do participants need to prepare?
An account or API key for the LLM platform in use, a laptop, and one workflow you want an agent to handle. RAG exercises are far more concrete with a sample of internal documents. After training, actual agent system builds are carried on by our development division.
How is the training priced?
Quotes are based on headcount, the number of sessions and total hours, how much of the curriculum is built specifically for your organisation, and whether post-training PoC mentoring is included. Share your audience, headcount and goals through the inquiry form and we reply with a proposal and pricing.
Can the training run online?
On-site delivery is the default, because the exercises work best when instructors can look at each participant's screen and unblock them directly. For multi-site teams or scheduling constraints we also run online or blended sessions by arrangement.