AI Training

AI training is a learning process that covers data analysis, algorithms, machine learning, and generative AI tools. This type of training enables both technical and non-technical users to use modern AI tools effectively.

Within the program, AI applications in business and solutions to real-world problems are covered in detail. Learners gain the opportunity to experience AI not only theoretically but also practically.

AI training prepares individuals who want to adapt to digital transformation for the future and directly contributes to career development.

Purpose and Goals of the AI Program

The primary goal of the program is to help participants become solution-oriented individuals who can use generative AI applications. It aims for them to produce fast, effective, and creative solutions to rapidly changing needs in today’s business world.

In addition, participants are supported to integrate AI into their own workflows through project-based learning. This approach benefits both entrepreneurs and corporate professionals.

It does more than transfer knowledge; it prepares participants for the future with hands-on learning and real-world scenarios. It offers one of the most comprehensive AI training modules in Turkey.

Throughout the training, an interactive structure is provided with mentors from the industry, project-focused progress, and group work. Graduates gain the ability to develop AI-based solutions both in personal projects and corporate environments.

The program also provides references recognized in the business world and makes it easier for participants to reach their career goals.

The AI Specialization Program consists of modules offering a wide range of content from basic skills to advanced applications. Participants learn theoretical knowledge and gain practical experience with real projects. Each module addresses generative AI technologies from a different angle and supports multi-dimensional development.

The curriculum covers current topics such as content production, visual design, video production, data processing, and AI-based decision-making. Modules are delivered through user-friendly platforms and the most up-to-date tools. This helps participants follow technological developments closely while gaining practical skills that increase productivity.

One of the program’s strengths is that it is shaped according to sectoral needs. Topics such as department-specific AI solutions, time management, advanced algorithms, and prompt engineering allow participants to specialize in the most relevant areas for their roles.

Fundamental Prompt Engineering

This module teaches the logic and techniques of giving accurate and effective prompts to AI. In particular, how to get better responses from models such as ChatGPT and Claude is put into practice.

Participants learn how to structure prompts for content production, automation, and AI-assisted decision-making processes.

Visual Creation with AI

Participants learn to create impressive visual content using AI tools such as DALL·E and Midjourney. It is a highly useful module for those working in graphic design and digital content.

Participants learn how to strengthen brand communication with visuals and become able to create personalized designs.

Time Efficiency with AI

This module presents ways to save time and resources by integrating AI into business processes. It focuses on productivity-boosting strategies, especially for corporate tasks.

Participants learn to achieve faster results by setting up AI-assisted automation in their daily tasks.

Data Preparation and Processing

Data cleaning, formatting, and transformation operations required when preparing data for AI systems are taught. It is a core module for those who want to step into data science.

Participants learn to build reliable and analyzable datasets for data-driven decision-making.

Content Production with AI

How to produce text-based content such as blog posts, product descriptions, and social media content with AI is explained in detail. This module teaches the contribution of LLM tools like ChatGPT to marketing processes.

Participants save time in content production while gaining the ability to produce SEO-friendly and original content.

Audio and Video Production with AI

Techniques for creating media content with AI-powered audio and video tools are taught. Processes such as video script writing, voiceover, and editorial montage are covered.

This module includes hands-on training for those who want to prepare podcasts, promo films, or ad content.

Department-Specific Training

AI solutions tailored to the specific needs of departments such as sales, marketing, product management, and customer service are explored. This section provides department-based case analyses.

Participants increase efficiency by developing AI applications specific to their own teams.

Advanced AI Techniques

Advanced topics such as machine learning, natural language processing, and deep learning are covered in this module. It is designed for participants with technical backgrounds.

Participants gain complex problem-solving capability by diving into the technical depth of generative AI solutions.

Productivity: Optimize your workflows and increase efficiency. Do more with fewer resources using AI technologies.

Competitive Advantage: Use AI to get ahead of the competition. Stand out by adopting AI-powered strategies.

Innovation: Transform your business with innovative AI solutions. AI adds value to your processes and positions you at the forefront of change.

Time Efficiency: Speed up workflows and save time with AI. Complete daily tasks faster and more effectively.

The AI Specialization Program aims to develop participants’ knowledge and skills step by step through a planned learning journey. The training process consists of foundational training, project applications, advanced technical modules, and an internship period. Each stage is structured to support participants’ progression to the next level.

In the initial phase, core AI knowledge is provided; later, sectoral applications and individual projects come to the foreground. Thus participants grow in ways suited to both individual and team work. The program concludes with a capstone project and an optional internship period.

In terms of schedule, trainings can be delivered live (synchronous) on weekday evenings or weekends. For individuals with busy schedules, flexible modules are supported with asynchronous video lessons to ensure continuity.

Program Stages

The program consists of four main stages: foundational training, applied modules, advanced technical training, and the completion stage. Each stage can be shaped according to participants’ knowledge level and interests. This structure allows everyone to sustain their development journey efficiently.

While theoretical knowledge is provided in the first stage, the following steps apply hands-on training supported by project development, mentoring sessions, and team work. At the end of the training, participants complete graduation by presenting a capstone project.

Training Duration and Format

The total duration of the program depends on the training scope selected by the participant. Trainings are primarily delivered as one-day intensive sessions, but can be extended to 2–3 days for more comprehensive content needs. This provides a flexible and goal-oriented training experience for both individual and corporate needs.

Trainings are offered both online and hybrid. All sessions are recorded to allow asynchronous participation. This makes it easier for individuals with different learning habits to adapt to the process.