Ignituz Global
AI Training / GenAI and Agentic AI

Build intelligent workflows.
Understand their boundaries.

Build AI literacy through hands-on learning for generative AI applications and agentic workflows. Bring retrieval, orchestration, tool use, and evaluation together with responsible implementation.

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Who it is for

A practical starting point.

Application developers, AI engineers, and technical teams building GenAI products.

The challenge

A convincing demonstration is a starting point. Builders need to understand how context, permissions, tools, and evaluation affect an application’s behavior.

Inside the engagement

What your team will explore.

01

Build the application context

Explore prompts, source material, and retrieval-augmented generation. Discuss how information reaches the model and how source access should be handled.

02

Design agentic workflows

Map the steps an agent can take, the tools it can use, and where a person needs to decide. Make workflow boundaries explicit before expanding autonomy.

03

Evaluate behavior

Develop representative examples, inspect failures, and compare changes. Challenge the result rather than treating a plausible response as proof of correctness.

04

Apply governance

Explore how connected requests can be filtered and monitored through a governance plane. Relate runtime controls to application permissions and human oversight.

Learning outcomes

Turn learning into practice.

We agree the scope and outputs around your starting point. A typical engagement can include:

  • A guided GenAI or agentic workflow exercise
  • A map of tool permissions and review points
  • A representative evaluation set
  • A list of engineering and governance actions for further development
In context

Builder exercise: a bounded research assistant

Participants create a workflow that retrieves approved information and prepares a draft response. They inspect source use, tool permissions, and failure behavior, then decide where human review belongs.

Getting started

Shape the program around your team.

Tell us who will attend, their current experience, and what they should be able to do afterwards. We shape the exercises and depth around that outcome.

The exercise and technical depth are selected for the participants’ experience and intended applications.

Plan this engagement
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