This training is aimed at professional development. The certificate obtained does not replace the MYK qualification certificate required for trainings with mandatory MYK authorization.

Training Description

The "Artificial Intelligence and Digital Competencies" training program aims to equip participants with AI, data analysis, and digital technology skills to build a strong digital skill set in the workforce. The program provides the necessary knowledge and skills to succeed in digital transformation.

Training Content

• Fundamentals of Artificial Intelligence
• What is AI? Basic concepts
• Differences between AI and human intelligence
• Types of AI: Narrow AI, General AI
• Applications of AI and its impact across industries
• Machine Learning
• What is Machine Learning? Basic concepts
• Supervised and unsupervised learning
• Data-driven modeling: Regression and classification
• Application areas of machine learning algorithms
• Data Science and Analysis
• Data analysis process: Collection, cleaning, and analyzing data
• Statistical analysis methods and tools
• Data analysis using Python and R
• Data visualization and reporting
• Deep Learning
• What is deep learning? Neural networks
• CNN and RNN algorithms
• Image recognition and natural language processing applications
• Natural Language Processing (NLP)
• Basic concepts and applications of NLP
• Text analysis, sentiment analysis, text classification
• Chatbots and virtual assistants
• AI and Ethics
• Privacy and data security
• Impact of automation on the workforce
• Responsible and human-centered AI
• Digital Competencies and Transformation
• Foundations of digital transformation
• Cloud technologies, IoT, big data
• Developing digital competencies
• Digital strategies in business
• Practical Projects and Applications
• Real-world projects
• Applications of data analysis and machine learning
• Real-time data analysis and modeling

The training is open for corporate collaboration (institution/company packages); individual applications are not accepted. Training content can be customized according to corporate participants' profiles and needs. After mutual discussions, the training scope and method (In-person, Online) are determined and processes are completed. Upon agreement, schedules, dates, and locations are coordinated with participants and instructors.