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.
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:
• creating drafts,
• improving written content,
• generating alternatives,
• simplifying information,
• and accelerating thinking processes.
The program also aims to equip participants with the ability to:
• select appropriate tasks for AI support,
• improve initial drafts,
• evaluate output quality,
• and achieve more reliable results in professional use.
Training Content
• Transition to Generative AI: from concept to professional use
• What types of outputs can Generative AI produce?
• Text generation, rewriting, summarization, simplification, transformation, tone adaptation, and first-draft creation
• Using AI for emails, reports, announcements, presentations, and meeting outputs
• Brainstorming, alternative generation, and idea expansion
• Research support, content synthesis, and first-draft preparation
• Multimodal Generative AI: examples of working with text, visuals, audio, and documents
• Evaluating draft quality: good outputs, weak outputs, and risky outputs
• How hallucinations appear in professional outputs and how to detect them
• Source-based work, responsible usage, and selecting appropriate tasks
• Sample use cases for different professional roles
• Preparation for transitioning to Prompt Engineering training
Scope and Limitations
The focus of this training is on how Generative AI creates value in professional tasks. The training framework centers around:
• task types,
• output quality,
• improvement,
• productivity,
• and responsible usage.
Basic AI awareness and conceptual introduction topics are not revisited, as they are considered learning outcomes of the “AI Fundamentals” 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.
Who Can Attend?
• Professionals who want to use Generative AI practically and effectively in business environments
• Participants who want to move from AI Fundamentals into practical applications
• White-collar professionals seeking efficiency in writing, summarization, editing, reporting, and content creation
• Experts and managers who want to identify realistic use cases for their own tasks
• Teams looking to benefit from AI for first-draft generation, content improvement, and thinking support
• Individuals who want to better understand how to work with Generative AI before moving on to Prompt Engineering training
Training Fee
4,750 TL (10% VAT included)
Special Fee for IAU Students
4,000 TL (10% VAT included)
Schedule
Weekend | 10:00 – 16:00
Instructor
İlker Özkaya
İlker Özkaya completed his education with an MBA degree and a bachelor’s 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.
Online Payment
Online Payment System
For Detailed Information
• 444 1 428 / 12405-12404
• 0532 334 53 79
• 0554 579 76 79
• [email protected]