Training Duration
1 Full Day (6 Hours)
The program can also be planned in a 2 half-day format (3+3 hours) depending on organizational needs.<\/p>\n\n\n\n
Training Objective
The aim of this training is to enable participants to use Generative AI effectively in their daily professional workflows to increase productivity, speed, and quality.
By the end of the training, participants are expected to use Generative AI tools not merely as question-and-answer systems, but as productive assistants capable of:
\u2022 creating drafts,
\u2022 improving written content,
\u2022 generating alternatives,
\u2022 simplifying information,
\u2022 and accelerating thinking processes.
The program also aims to equip participants with the ability to:
\u2022 select appropriate tasks for AI support,
\u2022 improve initial drafts,
\u2022 evaluate output quality,
\u2022 and achieve more reliable results in professional use.<\/p>\n\n\n\n
Training Content
\u2022 Transition to Generative AI: from concept to professional use
\u2022 What types of outputs can Generative AI produce?
\u2022 Text generation, rewriting, summarization, simplification, transformation, tone adaptation, and first-draft creation
\u2022 Using AI for emails, reports, announcements, presentations, and meeting outputs
\u2022 Brainstorming, alternative generation, and idea expansion
\u2022 Research support, content synthesis, and first-draft preparation
\u2022 Multimodal Generative AI: examples of working with text, visuals, audio, and documents
\u2022 Evaluating draft quality: good outputs, weak outputs, and risky outputs
\u2022 How hallucinations appear in professional outputs and how to detect them
\u2022 Source-based work, responsible usage, and selecting appropriate tasks
\u2022 Sample use cases for different professional roles
\u2022 Preparation for transitioning to Prompt Engineering training<\/p>\n\n\n\n
Scope and Limitations
The focus of this training is on how Generative AI creates value in professional tasks. The training framework centers around:
\u2022 task types,
\u2022 output quality,
\u2022 improvement,
\u2022 productivity,
\u2022 and responsible usage.
Basic AI awareness and conceptual introduction topics are not revisited, as they are considered learning outcomes of the \u201cAI Fundamentals\u201d training.
Advanced prompt design, zero-shot\/few-shot prompting, role-based prompt structures, and systematic prompt architecture are reserved for the Prompt Engineering training.
Agentic AI systems are also not covered in detail within this program.<\/p>\n\n\n\n
Who Can Attend?
\u2022 Professionals who want to use Generative AI practically and effectively in business environments
\u2022 Participants who want to move from AI Fundamentals into practical applications
\u2022 White-collar professionals seeking efficiency in writing, summarization, editing, reporting, and content creation
\u2022 Experts and managers who want to identify realistic use cases for their own tasks
\u2022 Teams looking to benefit from AI for first-draft generation, content improvement, and thinking support
\u2022 Individuals who want to better understand how to work with Generative AI before moving on to Prompt Engineering training<\/p>\n\n\n\n
Training Fee
4,750 TL (10% VAT included)
Special Fee for IAU Students
4,000 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 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 including software engineer, senior business intelligence specialist, project manager, agile coach, and corporate trainer.
Throughout his professional career 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 ways of working. He has delivered training programs on agile working methods and transformation-focused approaches to hundreds of employees and leaders, while actively participating in organizational change initiatives.
Today, he focuses 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 experience, he contributes to helping professionals and organizations adapt to the changing business world in a stronger and more sustainable way.<\/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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