Artificial intelligence | NET-INFO
Artificial intelligence

Artificial intelligence

Artificial intelligence is transforming every sector: education, business, marketing, administration, creation, technology, healthcare, and much more.
This practical and accessible training program is designed for professionals, students, and entrepreneurs who have never used AI or who want to leverage modern AI tools better to improve productivity, processes, and innovation capacity. No technical or programming skills are required.

🎯 Learning Objectives:

  • Understand the fundamental concepts of artificial intelligence and their applications across different fields
  • Differentiate between AI, machine learning, deep learning, and generative AI
  • Effectively use modern AI tools within one’s own professional field
  • Identify opportunities for innovation and process improvement through AI
  • Design a generative AI solution tailored to a real organizational need
  • Use AI in an ethical, responsible, and sustainable manner

🧾 Target Audience

  • Professionals and managers: Optimize decision-making, automate repetitive tasks, and improve productivity using AI tools.
  • Entrepreneurs and project leaders: Use AI to accelerate project launches, reduce costs, and innovate without relying on technical teams.
  • Teachers and trainers: Integrate AI to enrich teaching methods, create educational content, and personalize learning.
  • Students (all disciplines): Develop essential skills for the job market and use AI as a learning and research tool.
  • Content creators: Produce high-quality content (text, image, video, audio) more quickly and strengthen their digital presence.

Why take this training? 

  • This training requires no prior technical knowledge and focuses on immediate, concrete results that can be directly applied in everyday professional contexts.
    It is suitable for all professions and emphasizes real-world use of artificial intelligence tools through practical cases and hands-on applications. By developing up-to-date, cross-disciplinary skills, participants are able to effectively prepare for the future of work and the rapid evolution of professional environments.

🛠️ Teaching Methods 

  • Practice-oriented approach
  • Live demonstrations
  • Workshops and case studies
  • Real-world projects tailored to participants’ professions

Training program

Module 1: AI Fundamentals & General Awareness (5h)
  • What is AI? Myths and realities
  • How AI impacts all professions
  • AI as an assistant, not a replacement
  • Real-world, multi-domain use cases
Module 2 – Understanding the basics of modern AI (5h)
  • Artificial Intelligence vs. Machine Learning
  • Deep Learning and neural networks (simplified approach)
  • How AI learns from data
  • Real-world examples: recommendations, chatbots, image recognition
Module 3 – Overview of current AI tools (6h)
  • Google AI ecosystem (Gemini, AI Studio)
  • Nano Banana: rapid AI experimentation
  • Text-based, visual, and multimodal AI tools
  • Choosing the right tool for your needs
Module 4 – AI for productivity and daily work (7h)
  • Writing documents, emails, and reports
  • Smart research and information summarization
  • Rapid creation of presentations
  • Translation, rephrasing, and decision support
Module 5 – AI by professional domain (10h)

Practical AI applications in:

  • Education and training
  • Business and entrepreneurship
  • Marketing and social media
  • Design and visual creation
  • Human resources
  • Administration and services
  • No-code development

Each domain includes:

  • Common challenges
  • Appropriate tools
  • Hands-on case studies
Module 6 – Creating AI-powered applications and automations (7h)
  • Introduction to no-code and low-code
  • Google App Builder
  • Task automation with AI
  • Smart assistants and simple AI agents
Module 7 – Generative AI: image, video, and audio (5h)
  • Professional image generation
  • Creation of videos and marketing assets
  • Voice, narration, and avatars
  • AI-assisted branding and communication
Module 8 – Ethics, security, and responsibility in AI (2h)
  • Data protection and privacy
  • Biases and limitations of AI models
  • Intellectual property
  • Best practices for professional use
Final Project – AI in my profession (5h)

Each participant:

  • Identifies a real-world problem in their field
  • Designs a solution based on generative AI
  • Presents a concrete and applicable project
Register