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Innovation Strategies with Generative Artificial Intelligence

Generative AI Fundamentals Practical Business Applications Project Implementation Roadmap Data Ethics and Governance
Online o in presenza
8 Hours
5 Modules

Innovation Strategies with Generative Artificial Intelligence

Innovation Strategies with Generative Artificial Intelligence

Generative AI Fundamentals Practical Business Applications Project Implementation Roadmap Data Ethics and Governance
Generative AI Fundamentals Practical Business Applications Project Implementation Roadmap Data Ethics and Governance
Online or on-site
8 Hours
5 Modules

The course combines theoretical presentations, case study analysis, group discussions, and hands-on lab sessions. This mix is designed to ensure that participants gain a practical and in-depth understanding of the possibilities offered by generative AI, while also providing the opportunity to experiment directly with AI tools.

The course combines theoretical presentations, case study analysis, group discussions, and hands-on lab sessions. This mix is designed to ensure that participants gain a practical and in-depth understanding of the possibilities offered by generative AI, while also providing the opportunity to experiment directly with AI tools.

Italian Trulli

Program

Follow-up included
Strategic skills
Generative AI
Materials included

Program

Modulo 1

Introduction to generative AI

  • Fundamental concepts, history, and an overview of the key technologies in generative AI.
  • The importance of GANs, Diffusion Models, and LLMs in today’s AI landscape.

Modulo 2

Use cases in business and marketing

  • Applications of generative AI for creating unique content, personalizing user experiences, and developing innovative products.
  • Practical examples of how companies are using these technologies to gain a competitive advantage.

Modulo 3

Ethics and legal considerations

  • In-depth exploration of the ethical and legal issues related to the use of generative AI, including intellectual property management and data privacy protection.
  • Strategies to address regulatory challenges and ensure the ethical use of AI.

Modulo 4

Implementation and strategy

  • Providing a detailed roadmap for launching generative AI projects, from selecting the right tools to building multidisciplinary teams.
  • Practical advice for integrating generative AI into existing business strategies.

Modulo 5

Hands-on lab

  • Interactive session with hands-on demonstrations of generative AI tools.
  • An opportunity for participants to experiment directly with guided examples and real-world applications.

Objectives

The course is designed for managers and executives who want to discover the potential of generative artificial intelligence and its applications in business. The main objectives include:
01.
Introduce the key concepts of generative AI and the associated technologies, such as Generative Adversarial Networks (GANs), Diffusion Models, and Large Language Models (LLMs).
02.
Explore practical applications of generative AI in business, marketing, and product development.
03.
Provide a roadmap for the effective implementation of generative AI projects in organizations.
04.
Discuss issues of ethics, privacy, and data governance in generative AI contexts.
01.
Introduce the key concepts of generative AI and the associated technologies, such as Generative Adversarial Networks (GANs), Diffusion Models, and Large Language Models (LLMs).
02.
Explore practical applications of generative AI in business, marketing, and product development.
03.
Provide a roadmap for the effective implementation of generative AI projects in organizations.
04.
Discuss issues of ethics, privacy, and data governance in generative AI contexts.

Objectives

The course is designed for managers and executives who want to discover the potential of generative artificial intelligence and its applications in business. The main objectives include:
01.
Introduce the key concepts of generative AI and the associated technologies, such as Generative Adversarial Networks (GANs), Diffusion Models, and Large Language Models (LLMs).
02.
Explore practical applications of generative AI in business, marketing, and product development.
03.
Provide a roadmap for the effective implementation of generative AI projects in organizations.
04.
Discuss issues of ethics, privacy, and data governance in generative AI contexts.

The minds
behind the courses

Our instructors are internationally renowned university researchers with extensive experience in the field of AI. The courses combine rigor, real-world cases, and a focus on the concrete challenges organizations face.

PROFESSORS

Antonello Rosato

PhD, AI Researcher

Internationally renowned AI researcher driving business innovation. Expert in forecasting and anomaly detection.

Andrea Ceschini

PhD, AI Researcher
Management engineer and AI Researcher in quantum computing. From business strategy to qubits.

Francesco Di Luzio

PhD, AI Researcher
AI researcher specialized in image analysis, with a knack for turning data into value.

Antonello Rosato

PhD, AI Researcher
Internationally renowned AI researcher driving business innovation. Expert in forecasting and anomaly detection.

Andrea Ceschini

PhD, AI Researcher
Management engineer and AI Researcher in quantum computing. From business strategy to qubits.

Francesco Di Luzio

PhD, AI Researcher
AI researcher specialized in image analysis, with a knack for turning data into value.

Book the course

Request course information

Fill out the form to receive more details about the course you’re interested in. One of our experts will contact you within 24 hours to walk you through the program, share the available dates, and answer any questions you may have. Together we’ll find the training solution that best fits your needs, including customized options for your team.

RESULTS

What you’ll gain
by the end of the course

Fundamentals of Generative AI
Applied Innovation Strategies
Practical Use Cases
Governance and Compliance
Understanding the key concepts of generative AI, from GANs to Diffusion Models and Large Language Models.
A concrete roadmap to implement generative AI projects in your company and gain competitive advantages.
Knowledge of real-world applications in business and marketing: content creation, personalization, and the development of innovative products.
The ability to address issues of ethics, privacy, intellectual property, and regulatory compliance in the use of generative AI.
Fundamentals of Generative AI
Applied Innovation Strategies
Understanding the key concepts of generative AI, from GANs to Diffusion Models and Large Language Models.
A concrete roadmap to implement generative AI projects in your company and gain competitive advantages.
Practical Use Cases
Governance and Compliance
Knowledge of real-world applications in business and marketing: content creation, personalization, and the development of innovative products.
The ability to address issues of ethics, privacy, intellectual property, and regulatory compliance in the use of generative AI.
Fundamentals of Generative AI
Understanding the key concepts of generative AI, from GANs to Diffusion Models and Large Language Models.
Applied Innovation Strategies
A concrete roadmap to implement generative AI projects in your company and gain competitive advantages.
Practical Use Cases
Knowledge of real-world applications in business and marketing: content creation, personalization, and the development of innovative products.
Governance and Compliance
The ability to address issues of ethics, privacy, intellectual property, and regulatory compliance in the use of generative AI.

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GRID+ Copyright © 2026. All Rights Reserved.
VAT No. 17387741006 | The capital has been paid up in full €10,000 | RM – 1715269
GRID+ Copyright © 2026. All Rights Reserved.
VAT No. 17387741006 | The capital has been paid up in full €10,000 | RM – 1715269
P. IVA 17387741006 · The capital has been paid up in full €10,000 | RM – 1715269