Training Duration
1.5 Days (9 Hours)
The program can be planned in a format consisting of 1 full day + 1 half-day practical workshop, depending on organizational needs.<\/p>\n\n\n\n
Training Objective
The aim of this training is to help participants develop effective prompt design skills in order to obtain higher-quality, more consistent, and more goal-oriented outputs from Generative AI systems.
By the end of the training, participants are expected to move beyond vague and random prompts and be able to write prompts that are clearer, more controlled, purpose-driven, and repeatable.
The program also equips participants with the ability to:
\u2022 clarify objectives,
\u2022 provide context,
\u2022 assign roles,
\u2022 define constraints,
\u2022 specify output formats,
\u2022 and improve prompts iteratively after reviewing initial results.
The additional half-day workshop is structured around real business cases, allowing participants to practice revision techniques and develop reusable prompt templates.<\/p>\n\n\n\n
Training Content
\u2022 Introduction to Prompt Engineering
\u2022 Core elements of an effective prompt
\u2022 Clarifying objectives, context, target audience, and expected outcomes
\u2022 The difference between vague and explicit prompts
\u2022 Task definition, role assignment, and constraint setting
\u2022 Defining output formats and tone guidance
\u2022 Single-step and multi-step prompting approaches
\u2022 Revision and improvement cycles
\u2022 Practical introduction to zero-shot and few-shot prompting
\u2022 Guiding AI through examples to improve output quality
\u2022 Defining success criteria
\u2022 Prompt evaluation and testing
\u2022 Working with different input types: considerations for document- and image-based prompts
\u2022 Prompt examples for business correspondence, reports, presentations, and analysis tasks
\u2022 Creating reusable prompt templates and prompt libraries<\/p>\n\n\n\n
Scope and Limitations
This training is not focused on any specific tool or AI model brand; instead, it is based on universal prompt engineering principles.
The program emphasizes:
\u2022 objective clarity,
\u2022 context,
\u2022 constraints,
\u2022 role assignment,
\u2022 formatting,
\u2022 example-based prompting,
\u2022 and iterative refinement.
Prompt design is approached not merely as writing good sentences, but as the practice of defining desired outputs, evaluating results, and improving prompts when necessary.
The following topics are outside the scope of this training:
\u2022 Agentic AI systems
\u2022 Retrieval-augmented generation approaches
\u2022 Fine-tuning
\u2022 Application development interface parameters
\u2022 System prompt architecture
\u2022 Developer-level technical configurations<\/p>\n\n\n\n
Who Can Attend?
\u2022 Professionals who want to obtain higher-quality and more controlled outputs from Generative AI tools
\u2022 Users seeking more consistent results for recurring tasks
\u2022 Experts and managers aiming to turn Generative AI usage into a systematic skill
\u2022 Participants who want stronger guidance capabilities for writing, analysis, summarization, classification, and content creation tasks
\u2022 Individuals who wish to create reusable prompt structures tailored to their professional roles
\u2022 Professionals with non-technical or limited technical backgrounds who want to learn effective prompt design<\/p>\n\n\n\n
Training Fee
6,500 TL (10% VAT included)
Special Fee for IAU Students
5,750 TL (10% VAT included)<\/p>\n\n\n\n
Schedule
Weekend | 10:00 \u2013 16:00<\/p>\n\n\n\n
Instructor
\u0130lker \u00d6ZKAYA
\u0130lker \u00d6zkaya completed his education with an MBA degree and a bachelor\u2019s degree in Electrical and Electronics Engineering. He has further strengthened his academic background with internationally recognized certifications such as PMP, SAFe, Scrum, and Kanban.
With more than 25 years of professional experience in financial technologies, enterprise information technologies, and organizational transformation, he has undertaken critical roles throughout his career including software engineer, senior business intelligence specialist, project manager, agile coach, and corporate trainer.
Throughout his professional journey spanning system integrators, large-scale corporate organizations, and global manufacturing companies, he has contributed to helping teams and leaders develop agile methodologies, OKR-focused management approaches, and more effective working models. He has delivered training programs on agile ways of working and transformation-oriented approaches to hundreds of employees and leaders, while also playing an active role in organizational change processes.
Today, he continues his work focusing on the productivity-oriented use of Generative AI technologies in business processes, as well as corporate agility, leadership, strategic development, and future-ready organizational capabilities. By combining technical expertise with management perspective and hands-on field experience, he contributes to helping professionals and organizations adapt to the evolving business world in a stronger and more sustainable manner.<\/p>\n\n\n\n
Online Payment
Online Payment System<\/p>\n\n\n\n
For Detailed Information
\u2022 444 1 428 \/ 12405-12404
\u2022 0532 334 53 79
\u2022 0554 579 76 79
\u2022 sem@aydin.edu.tr<\/p>\n","protected":false},"excerpt":{"rendered":"
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