Project Future 12: Generative AI Technologies & Tools in Practice

Description

The specialized training Generative AI Technologies & Tools in Practice, powered by Code.Hub in exclusive collaboration with Athens Tech College, invites you to claim a paid full-time position in the business world by taking your first steps into the fascinating ecosystem of Artificial Intelligence (AI). By using available and free state-of-the-art Generative AI applications, you can drastically boost your productivity in any modern professional environment.

This is an intensive program of 60 hours for graduates from any academic background, with theoretical training on important concepts but mainly with practical and applied use of the most modern tools in the fields of Artificial Intelligence (AI) such as Machine Learning and Generative AI.

With the completion of the program, participants will be able to take advantage of the latest developments in AI, to integrate Generative AI into daily workflows and to respond to the needs of multiple roles in every department of a modern company, from marketing, HR, IT and sales to data analysis, management and customer service.

Purpose

The purpose of the training program Generative AI Technologies & Tools in Practice powered by Code.Hub is to provide participants with modern practical skills for using AI in daily tasks in the modern workplace, addressing very practical needs for professionals who wish to leverage technology to their advantage. Upon completing the training, participants will be able to use Generative AI tools such as MS Copilot, ChatGPT, DALL-E, etc., for tasks like data analysis to identify patterns and support decision-making, writing and summarizing texts, emails, and speeches, organizing their time and responsibilities, and even creating visuals and presentations for any need. In addition, with the use of machine learning tools, such as Microsoft Machine Learning Studio, participants will be able to easily utilize ML models and algorithms to solve real-world problems.

Duration & Schedule

This program lasts 4 calendar weeks and consists of 60 hours of lectures and hands-on exercises on real case studies and projects via virtual classroom environment and online collaboration platforms.

Start Date: 24 November 2025
End Date: 19 December 2025

Detailed Schedule (*subject to adjustments):

Key Objectives – Curriculum

This program will present, explore and cover with extended hands-on sessions & real-life case studies the following areas:

• The current AI & ML landscape
• • Definitions for AI, ML, DL
  • Areas of Application
  • Goals and capabilities of AI systems

• Discriminative Machine Learning with Tools
• • Data collection
  • Preprocessing
  • Exploratory Data Analysis
  • Regression
  • Classification

• Generative Artificial Intelligence with Tools
• • Overview of Generative AI – Applications, limitations, ethical considerations
  • ChatGPT / Copilot / DALL-E
  • Prompt Engineering
  • Improving GPT results

• Real life applications & practical examples in Generative AI
• • Cover letters, speeches and employee evaluations
  • Scheduling tasks, planning
  • Summarize reports, meeting notes and polish content
  • Analyze data from Excel or CSV files
  • Find trends and patterns
  • Support decision making
  • Create presentations
  • AI-generated images
  • Infographics
  • Visuals for marketing campaigns

• Final Project & Presentation
• • Capstone project with real-world use case
  • Design, build, deploy a solution

Conditions for participation:

Graduates of Greek or foreign schools of higher education (AEI / TEI / College), in any Academic direction.

Additional Conditions:
Up to 29 years old, as the program is aimed at graduates at the beginning of their careers.

Extracurricular activities:
Active involvement in extracurricular activities (e.g. volunteering, sports, entrepreneurship, art and any other non-academic activity).