Project Future 11: Building Intelligence with GenAI & ML Tools

Description

The specialized training Building Intelligence with GenAI & ML Tools powered by Code.Hub, in exclusive collaboration with Athens Tech College, invites you to take your first steps into the exciting world of Artificial Intelligence (AI). By using available and free state-of-the-art applications, you can drastically boost your productivity in any modern workplace!

Building Intelligence with GenAI & ML Tool is an intensive program lasting 60 hours targeted to people of all backgrounds, with theoretical and hands-on training focusing on key concepts in the field, as well as on top modern tools and techniques in areas of Artificial Intelligence (AI), such as Machine Learning and Generative AI.

Purpose

The purpose of the training Building Intelligence with GenAI & ML Tools 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.

Additionally, by using machine learning tools such as Microsoft Machine Learning Studio or Orange, they will be able to build and train predictive models 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: 25 November 2024
End Date: 20 December 2024

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
    • Model Evaluation

• 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

Conditions for participation:

Graduates of Greek or foreign schools of higher education (AEI / TEI / College) from any academic discipline.

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

Zero or limited work experience:
Work experience from 0 to 3 years of full-time employment, upon completion of studies.

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