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AI for Developers: Design, Build, Deploy LLM-powered Applications

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Short Overview
This program offers a comprehensive introduction to Artificial Intelligence applications with a focus on Large Language Models (LLMs). Participants will learn to integrate models into applications with Python and FastAPI, design effective prompts, develop Retrieval-Augmented Generation (RAG) solutions, build autonomous AI agents, and leverage open-source tools. Through practical workshops and a final capstone project, learners will acquire skills that directly align with industry needs.
Learning Goals
By the end of the program, participants will:
  • have developed a solid understanding of the fundamental principles of Artificial Intelligence and Large Language Models (LLMs)
  • they will be able to integrate AI capabilities into real-world applications using Python and FastAPI,
  • apply prompt engineering techniques for targeted results,
  • design and implement solutions based on Retrieval-Augmented Generation (RAG),
  • build and deploy autonomous AI agents, and run as well as evaluate open-source models locally.
The program culminates with a capstone project that synthesizes architecture, development, and creativity skills.
Program Value
The value of this program lies in providing a comprehensive, hands-on, and up-to-date learning pathway in some of the most critical AI technologies. Participants gain directly applicable skills that meet current market demands, combining theoretical knowledge with practical labs. By exploring both commercial and open-source solutions and completing a final project with real-world relevance, learners acquire a powerful toolkit to design, implement, and leverage AI applications across diverse domains.
Weekly Schedule
Every Monday and Thursday, 18.00 - 21.00 (total 12 weeks).
Teaching Material
  • Live online classes (synchronous learning)
  • Video lectures (can also be accessed asynchronously)
  • Presentations/Slides in digital format
  • Notes & bibliography
  • Labs/Workshops
Evaluation Method And Final Grade Computation
The trainees will be assessed based on an individual assignment.
Learning Method Description

Trainees can attend the program in two different ways: through in-person attendance or via Live Streaming, meaning through an online platform from a location of their choice.

For in-person attendance, priority is given based on the date of registration completion, due to a limited number of seats in the classroom. Participants attending in person must bring a laptop to each class. Trainees choose their preferred mode of attendance in their application.

The Live Streaming method offers the following advantages:

  • Training without geographical limitations
  • Real-time attendance of lectures from the trainee’s own location
  • Ability to ask questions to the instructor
  • Option to watch recorded lectures at a later time
  • Access to all training materials electronically (the full educational content is provided free of charge)
Teaching Language
Greek
Application deadline: 10/02/2026
Program start: 16/02/2026
Program completion: 07/05/2026
Scientific area
Way to follow
ECTS units: 6
Hours of live training: 72
Includes training hours with classroom, laboratory, or remote (via live streaming) instruction along with any breaks.
Hours of asynchronous training: 68
Includes training hours (indicative) using an asynchronous distance learning (eLearning) platform.
Additional hours of employment: 40
Additional hours of work are included (indicative) and may include individual study, writing assignments, participation in field visits, participation in exams, etc.
Total hours: 180
The total hours include hours of synchronous and asynchronous training, as well as additional hours of employment.
Weeks of training: 12
Weeks in which activities of any kind are planned are included.
Vocational Education and Training Certificate
Trainees who successfully complete the program are granted a Vocational Education and Training Certificate of the Center for Education and Lifelong Learning of the Athens University of Economics and Business, which is accompanied by a Supplement to the Certificate, detailing the subject of the program, the thematic units attended by the trainee , as well as the training methodology followed.
Target Audience
This program is designed for IT professionals, software developers, data analysts, and technology specialists who want to gain ractical skills in integrating Large Language Models (LLMs) into applications. It is ideal for those seeking to deepen their knowledge of modern AI architectures,understand the ecosystem of tools and best practices, and develop applications that deliver real value to their organizations or businesses.
Prerequisite Knowledge
Python
Scientific Coordinator
Program Tutors
Mode And Frequency Of Communication
Continuously through Slack, e-mail, teams
Cost
IN-PERSON ATTENDANCE: 600€
LIVE STREAMING: 600€
Installements
The tuition fee amounts to €600 and is paid in 3 installments: an initial deposit of €200 before the start of the program, a second installment of €200 during the program and a third installment of €200 before the program's completion.
Trainees are informed of the installment amounts and related deadlines via email upon their acceptance into the program.

ΕΠΙΚΟΙΝΩΝΙΑ

Κεφαλληνίας 45, 11257, Αθήνα

  • dummysecretariat@diaviou.aueb.gr

  • dummy210 8203 913


Ειδικά για τα Δια Ζώσης Προγράμματα:

  • dummydiazosis@diaviou.aueb.gr

  • dummy210 8203 916, 912, 914


Ειδικά για τα eLearning Προγράμματα:

  • dummyelearning@diaviou.aueb.gr

  • dummy+30 210 8203 753

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