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 help participants correctly understand the fundamental concepts of artificial intelligence, position AI appropriately in daily life and professional environments, and particularly comprehend why Generative AI has recently gained significant prominence.
By the end of the training, participants are expected to evaluate AI not merely as a popular technology trend, but as a supportive layer that can provide speed, efficiency, summarization, content generation, analytical support, and idea development for specific tasks.
The program also aims to provide participants with:
\u2022 the ability to distinguish between the strengths and limitations of AI,
\u2022 awareness of the risks of inaccurate yet convincing outputs,
\u2022 an understanding of the importance of verification and human oversight,
\u2022 and foundational awareness regarding data privacy and secure AI usage.<\/p>\n\n\n\n
Training Content
\u2022 Introduction to Artificial Intelligence: What AI is and what it is not
\u2022 Why is AI so visible today?
\u2022 The fundamental difference between automation and artificial intelligence
\u2022 The relationship between data science, machine learning, deep learning, Generative AI, and large language models
\u2022 Types of AI and realistic expectations: how \u201cintelligent\u201d is today\u2019s AI actually?
\u2022 Why is Generative AI gaining prominence?
\u2022 In which tasks and work types does AI create value?
\u2022 Using AI for writing, summarization, idea generation, research support, and first-draft creation
\u2022 Brief introduction to non-text applications of Generative AI
\u2022 Awareness-level introduction to Agentic AI and AI agents
\u2022 Hallucinations, verification, and human oversight
\u2022 Awareness of data privacy, ethics, bias, security, Shadow AI, and AI Governance
\u2022 Synthetic content, deepfakes, and content reliability
\u2022 Appropriate use \/ cautious use \/ inappropriate use distinctions
\u2022 AI Usage and Security Checklist: secure starting points, first steps, and identifying areas where AI can create value in one\u2019s own work<\/p>\n\n\n\n
Scope and Limitations
This program introduces core concepts such as artificial intelligence, automation, machine learning, deep learning, Generative AI, and large language models without going into technical depth, while still establishing a correct conceptual foundation.
The topics of risk and secure usage are approached through:
\u2022 verification,
\u2022 human oversight,
\u2022 data privacy,
\u2022 ethics,
\u2022 bias,
\u2022 governance,
\u2022 and synthetic content awareness.
Although some advanced enterprise AI approaches provide more controlled information usage, this training does not cover the technical details of such systems.
Advanced topics including:
\u2022 Prompt Engineering,
\u2022 zero-shot and few-shot prompting,
\u2022 context windows,
\u2022 fine-tuning,
\u2022 and related advanced areas
are outside the scope of this program.<\/p>\n\n\n\n
Who Can Attend?
\u2022 Anyone seeking a strong introduction to artificial intelligence
\u2022 Professionals who want to use AI more consciously in business and daily life
\u2022 Managers and specialists who want to understand the AI landscape even without a technical background
\u2022 Participants who want to understand both the opportunities and risks of AI
\u2022 Individuals who want to build a solid foundation before attending Generative AI and Prompt Engineering trainings
\u2022 Professionals working in Human Resources, Marketing, Sales, Finance, Operations, Strategy, and similar business functions<\/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 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 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 field experience, he contributes to helping professionals and organizations adapt to the evolving 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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