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Paul Iusztin – Agentic AI Engineering

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Paul Iusztin - Agentic AI Engineering

449 $ 40 $

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Category: A.I Tags: Agentic AI Engineering, Paul Iusztin, Paul Iusztin - Agentic AI Engineering
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Paul Iusztin – Agentic AI Engineering

Agentic AI Engineering is a hands-on technical training designed for developers, engineers,

and builders who want to go beyond passive AI tools and design real autonomous systems that operate in production.

Instead of teaching only how to ask questions of large language models,

this program focuses on how to create, test, and deploy agentic AI workflows and agents that actually reason, act,

and automate tasks in real-world applications.

Understanding Agentic AI Engineering

At its core, Paul Iusztin – Agentic AI Engineering teaches you how to build AI systems that:

Perceive context, not just respond to prompts

Plan actions by reasoning about tasks

**Execute multi-step flows across tools, APIs, and systems

Operate independently rather than only generating text

This is a step beyond basic chatbot creation β€” it’s about turning intelligence into actual execution.

Agentic AI Engineering

From Design to Deployment

Knowing how to build an agent is only part of the challenge β€” the program emphasizes production readiness:

Testing methodologies for autonomous agents

Debugging multi-step workflows

Tool use and external API integration

Deployment and runtime maintenance

These components ensure your AI systems aren’t just prototypes, but deployable, reliable tools.

Who This Training Is Best For

Software developers and machine learning engineers

AI practitioners transitioning from passive models to autonomous systems

Product builders and technical founders working with LLM-based automation

Engineers who want production-ready AI skills rather than isolated demos

What unites learners is a desire to create systems that do work, not just talk about it.

What Makes This Approach Distinct

Unlike courses that focus only on generative text or prompt craft, the course goes further by teaching:

How to build reasoning loops

How to combine models with external tools and infrastructure

How to evaluate and iterate on agent behavior

How to scale autonomous workflows

This is training tailored for engineers who want to go from concept to deployable systems in an AI-driven world.

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