This training is intended for professional development purposes, and the certificate obtained does not replace the Vocational Qualification Authority (MYK) authorization certificate required for trainings where MYK authorization is mandatory.

Training Information

• Training Duration: 2 Days (Theory/Methodology/Practice)
• Level: Beginner / Advanced
• Participant Profile: Corporate Company Employees, Entrepreneurs, University Students, Individual Participants
• Prerequisite: Basic Concepts of Artificial Intelligence

About the Training

In today’s world where time is the most valuable resource, artificial intelligence tools have become a “superpower” for professionals. At the same time, the time lost due to routine tasks prevents employees from revealing their true potential. This training equips office employees and professionals with the competence to use artificial intelligence tools like a “superpower.” Participants learn to reduce hours-long reporting, correspondence, and content creation processes to minutes, allowing them to focus their energy on strategic thinking and creativity. Our goal is to build a fast and efficient workforce that does not merely consume technology, but creates value with it.

• Section 1: Language Models, Advanced Techniques, and Intelligent Search (Morning Session)
• Generative Artificial Intelligence Models (Language / Visual Models)
• Understanding Technology: Working principles of Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, and visual models such as GAN, Stable Diffusion, and CLIP.
• Model Selection: Strategic analysis of which model (Language vs. Visual) is more efficient for which task.
• What is a Prompt? How Should a Prompt Be for Effective Results?
• Communication Engineering: The language of communicating with artificial intelligence. Techniques to avoid ambiguous commands and to create clear “context.”
• JSON-Type Prompt Structure: Technical prompt writing for those who want to receive structured and systematic data. Obtaining outputs in an integrable format (JSON) for software or automation systems.
• Receiving Reports/Summaries with AI Language Models
• Speed and Efficiency: Converting long documents, articles, or meeting notes into executive summaries within seconds.
• Analytical Capability: Making strategic inferences from complex data and reporting standards.
• Specialized Language Models: Case study analyses for business life and individual use with the most up-to-date models in this field.
• Use Cases of Next-Generation AI Search Engines
• Smart Search Instead of Google: Research methods using AI-based search engines.
• Information Verification: Differences from traditional search engines, source citation features, and advantages in academic/professional research.
• Section 2: Multimedia Production and Creative Transformation
• Visual (Image/Video) Creation with Generative AI
• Visual Design Revolution: Creating professional-quality stock photos, marketing visuals, and project drafts using text prompts (Text-to-Image).
• Video Production: Animating static images or creating short video clips from text.
• Audio/Music Creation with Generative AI
• Voice Synthesis (Voiceover): Voicing texts in human-like quality, in different languages and tones.
• Music and Jingle Production: Creating copyright-free, project-specific background music or jingles.

Training Outcomes

• Professional Competence: Participants learn to use text-, visual-, and audio-based artificial intelligence tools in an integrated manner.
• Technical Depth: Gains the ability to obtain structured data from AI using techniques such as “JSON-Type Prompt.”
• Research Speed: Increases the speed and accuracy of accessing information with next-generation search engines.
• Multimedia Production: Becomes capable of producing their own presentations, videos, and audio content without the need for an additional team.

Training Notes

• The training is delivered in an application-oriented and interactive format with one-to-one practices.
• Participants have the opportunity to experience the tools on their own devices throughout the training.
• At the end of the training, participants receive a university-approved certificate.
• If requested, a 2-hour online “Training Efficiency Follow-up Session” can be conducted with participants within 1 month after the training.

The training is open to corporate cooperation (institution/company legal entity packages), and individual applications are not accepted. The training content can be re-planned according to the corporate participant profile and your needs. As a result of mutual meetings, the scope and method of the training (Face-to-Face, Online) are determined and the relevant processes are completed. If an agreement is reached, suitable days and times of your institution’s participants and our instructors, as well as the training location, are determined.