Artificial Intelligence

Generative AI: From Models to Autonomous Agents

Scheduled editions

12 March 2026

March 12 and 13 from 09:00 to 13:00

In-person: CIM Innovation Hub of Cuneo

Course description

The course is designed for companies that want to understand and implement Generative Artificial Intelligence technologies in their work environment. Starting from the basics of prompt engineering, the course delves into the use of language models (LLM), the integration of business knowledge through the RAG (Retrieval-Augmented Generation) paradigm, and the use of AI Agents to automate processes and generate new monetization opportunities.

Main Topics

Introduction to Generative Artificial Intelligence

  • Context and Impact of AI in the Business World
  • Historical Evolution and Fundamental Concepts

In-depth Study on LLMs

  • Definition, Architecture, and Functioning
  • Prompt Engineering Techniques and Practical Applications
  • Limitations and Ethical Aspects

RAG (Retrieval Augmented Generation)

  • Principles and Advantages of the RAG Paradigm
  • Techniques for Collecting, Indexing, and Integrating Business Knowledge
  • Workflow and Operational Tools

AI Agents for Automation

  • Definition and Role of AI Agents
  • Applications in Business Process Automation
  • Monetization Strategies and Case Studies

Interactive Workshop and Case Studies

  • Analysis of Real Scenarios and Best Practices
  • Q&A Session and Brainstorming for AI Solution Customization

Participant profile

The course is aimed at decision makers.

Objectives

  • Provide a comprehensive understanding of the fundamentals of Artificial Intelligence and its impact on business.
  • Illustrate the potential and practical applications of language models (LLM) in the business context.
  • Show how to leverage the RAG paradigm to integrate and enhance internal knowledge.
  • Demonstrate how to implement AI Agents for process automation and the generation of new revenue streams.
  • Stimulate a strategic vision to drive digital transformation in the company.

Learning outcomes

At the end of the course, participants will be able to:

– Understand the basic principles of Generative Artificial Intelligence, its advantages, limitations, and the role it can play in business strategies.

– Effectively use LLMs to generate content and support textual analysis.

– Understand RAG techniques to leverage business knowledge and improve decision-making processes.

– Understand and devise automation solutions based on AI Agents.

– Evaluate ethical, security, and scalability aspects in the adoption of AI technologies.

Participation conditions

No advanced technical prerequisites are required: the course is structured to be accessible even to those approaching the world of AI for the first time.

 

Cost per participant

€300

Participants

Min 5

Resources available from PNRR funds, Mission 4 – Component 2 – Investment 2.3:

SMALL ENTERPRISES: 80%
MEDIUM ENTERPRISES: 70%
LARGE ENTERPRISES: 40%

Cost per company

€1500

Participants

Max 15

Mode

In-person

Duration

12 hours

Level

Introductory

Trainer

CIM

At the end of each course, you will receive a certificate of participation issued by the CIM4.0 Competence Center.
As an implementing body for digital transition, CIM4.0 holds the accreditation certificate from the Piedmont Region for the provision of continuous training. Certificate No.: 1503/001

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