IntelliGuide Logo

Artificial Intelligence Course
for Business

Designed and delivered by Antonio Maria Guerra, founder of IntelliGuide.it, the ‘Artificial Intelligence for Business’ course progressively guides staff through the knowledge and practical use of this new technology: a tool capable of delivering concrete, measurable benefits. Available both in-person and online, the training program aims to integrate Artificial Intelligence into everyday workflows as a valuable ‘operational ally’.

Teoria e pratica per padroneggiare l’IA.

Theory and practice to master AI.

The ‘Artificial Intelligence for Business’ course, designed by Antonio Maria Guerra, AI Specialist and founder of IntelliGuide.it, is aimed at offering companies a significant boost in productivity through this new technology.
The training is addressed to internal staff and is based on a training material composed of hundreds of multimedia slides, rich in real-world examples, with an approach focused on the practical use of AI in everyday work.

Substantial space within the program is dedicated to use cases directly transferable to the business context, with results noticeable as early as the first weeks following the training: the company will be able to count on staff capable of employing Artificial Intelligence as an everyday operational tool, both in support of activities and decisions.
Below, a brief overview of the content of the various modules that make up the program.

Deep Learning: Come le Macchine Imparano a Interpretare il Mondo.

Artificial Intelligence Course: tangible benefits.

The main objective of this course about Artificial Intelligence is to deliver tangible and measurable benefits, such as:

  • Optimization of time and resources, reducing the time spent on repetitive tasks;
  • Reduction of operating costs, decreasing dependence on external providers, such as marketing agencies for the production of graphic and written content, social media management and website updates;
  • Greater control over internal processes, making work more standardized, as it becomes tied to the correct use of software and less dependent on individual figures;
  • Strengthening of market competitiveness, through faster execution and improved responsiveness.

MAIN MODULES

Modulo 01: ‘Fondamenti di Intelligenza Artificiale’.

Module 01: ‘Fundamentals of Artificial Intelligence’. (99 Slides)

Questo modulo è studiato per spiegare ai partecipanti cosa è l’Intelligenza  Artificiale e le basi teoriche per gestire questa nuova tecnologia al meglio. L’approccio didattico è accessibile ed intuitivo, facendo un largo uso di immagini  e video illustrativi: il suo obiettivo è far comprendere, nel concreto, che la IA, lungi dall’essere un ‘oggetto misterioso’, può essere effettivamente un formidabile strumento per incrementare la produttività.
Nel dettaglio, le slides del modulo illustrano:

  • Its origins and evolution;
  • How it ‘works’ today;
  • What Neural Networks are and the role of Nvidia in AI;
  • Its ‘categories’ (ANI, AGI, ASI);
  • What Machine Learning and Deep Learning are;
  • The application areas of AI;
  • What Generative AI is;
  • What Large Language Models (‘LLMs’) are and how to use them.

Module 01: a few sample slides.

Modulo 01: ‘Fondamenti di Intelligenza Artificiale’.
Modulo 01: ‘Fondamenti di Intelligenza Artificiale’.
Modulo 01: ‘Fondamenti di Intelligenza Artificiale’.
Module 02: ‘AI Tools for Everyday Work’.

Module 02: ‘AI Tools for Everyday Work’ (116 Slides)

This module is designed to introduce participants to the main ‘general-purpose’ Artificial Intelligence tools, in the context of everyday office work.
Making extensive use of images, videos and practical examples, the module’s slides cover:

  • ChatGPT: the ‘Swiss Army knife’of AI, capable of bringing together multiple features in a single interface, from text generation to document analysis, from web search to image creation;
  • Perplexity: the AI-powered search engine, able to provide concise, contextualized answers with cited sources, overcoming the limitations of traditional search;
  • NotebookLM: the tool for collecting, analyzing, organizing and processing information from different sources, transforming it into structured, easily accessible knowledge;
  • Notion AI: the workspace of the future, already available today, integrating project management, notes and databases with the generative capabilities of Artificial Intelligence;
  • DeepL & Grammarly: the definitive references for professional translation and for the revision and improvement of texts in foreign languages, respectively.

Module 02: a few sample slides.

Module 02: ‘AI Tools for Everyday Work’.
Module 02: ‘AI Tools for Everyday Work’.
Module 02: ‘AI Tools for Everyday Work’.
Module 03: ‘AI Tools for Content Creation’.

Module 03: ‘AI Tools for Content Creation’ (96 Slides)

This module is designed to introduce participants to the main tools linked to ‘Generative’ AI, capable of producing virtually any type of content for the most varied business contexts.
Making extensive use of images, videos and practical examples, the module’s slides cover:

  • Claude: the reference tool for high-quality text generation and code writing;
  • Midjourney: the prompt-based image generator that transforms text descriptions into professional illustrations, ideal for visual communications, presentations and promotional materials;
  • VEO3 & Nano Banana (+Flow): tools for video and image production designed specifically for social media and corporate promotional campaigns;
  • ElevenLabs: the reference platform for professional voice synthesis, capable of generating realistic, customizable voices for any type of audio content;
  • Napkin: the tool for creating visual maps and infographics from text, transforming complex concepts into immediately understandable content.

Module 03: a few sample slides.

Module 03: ‘AI Tools for Content Creation’.
Module 03: ‘AI Tools for Content Creation’.
Module 03: ‘AI Tools for Content Creation’.
Module 04: ‘Prompt Engineering’.

Module 04: ‘Prompt Engineering’ (61 Slides)

This module is designed to explain to participants the most effective techniques for crafting prompts, the text commands used to interact with generative AI tools, in order to unlock their full potential.
The slides cover in detail the 13 best practices for formulating clear and targeted requests, including:

  • Role Assignment: defining a specific identity for the AI, guiding its tone and the type of response it provides;
  • Precision and Specificity: formulating detailed requests to obtain relevant outputs and avoid generic answers;
  • Chain of Thought: guiding the AI through a progressive reasoning process to tackle complex problems step by step;
  • Devil’s Advocate: asking the AI to adopt a critical perspective, identifying weaknesses and contradictions in one’s own arguments or proposals.

…and many other techniques immediately applicable in everyday work contexts.

Module 04: a few sample slides.

Module 04: ‘Prompt Engineering’.
Module 04: ‘Prompt Engineering’.
Module 04: ‘Prompt Engineering’.
Module 05: ‘AI Regulations’.

Module 05: ‘AI Regulations’ (18 Slides)

This module is designed to explain to participants the European legislation on Artificial Intelligence, with particular focus on the AI Act and the most recent regulatory trends at international level: knowledge that is essential, among other things, for operating in a work environment defined by compliance with privacy law.

Module 05: a few sample slides.

Module 05: ‘AI Regulations’.
Module 05: ‘AI Regulations’.

SPECIALIST MODULES (OPTIONAL)

Specialist Module: ‘AI in Traditional Marketing’.

Specialist Module 01: ‘AI in Traditional Marketing’ (102 Slides)

This module is designed to explain how to use ‘general-purpose’ AI tools to optimize the daily work of the traditional marketer. For each of the sections it covers, the main challenges of the specific area are identified along with how to overcome them through this new technology, including practical examples, specialist software references and well-known case studies.
Topics covered:

Analysis and Strategy:

  • Market Research and Offline Surveys;
  • Public Relations (PR);

Creation and Personalization:

  • Packaging and Merchandising;
  • Printed Promotional Materials;
  • Offline Advertising (TV, Radio, Print);

Distribution and Conversion:

  • POP Materials and Points of Sale;
  • Trade Fairs, Events and Offline Lead Collection;
  • Sales Force Training;

Measurement and Loyalty:

  • Offline Customer Care and Complaints Management;

Specialist Module 01: a few sample slides.

Specialist Module: ‘AI in Traditional Marketing’.
Specialist Module: ‘AI in Traditional Marketing’.
Specialist Module: ‘AI in Traditional Marketing’.
Specialist Module 02: ‘AI in Digital Marketing’.

Specialist Module 02: ‘AI in Digital Marketing’ (140 Slides)

This module is designed to explain how to use ‘general-purpose’ AI tools to optimize the daily work of the digital marketer. For each of the sections it covers, the main challenges of the specific area are identified along with how to overcome them through this new technology, including practical examples, specialist software references and well-known case studies.
Topics covered:

Analysis and Strategy:

  • SEO and Content Strategy;
  • Brand Positioning and Sentiment Analysis;

Creation and Personalization:

  • Written Content Creation;
  • Multimedia Production;
  • Customer Experience and Personalization;

Distribution and Conversion:

  • Social Media Marketing;
  • Influencer Marketing;
  • Digital Advertising;
  • Lead Generation and Digital Funnels;
  • Email Marketing;

Measurement and Loyalty:

  • Analytics and Web Tracking;
  • Marketing Automation and Retention;

Specialist Module 02: a few sample slides.

Specialist Module 02: ‘AI in Digital Marketing’.
Specialist Module 02: ‘AI in Digital Marketing’.
Specialist Module 02: ‘AI in Digital Marketing’.

The images on this page were created using generative Artificial Intelligence tools.