The Artificial Intelligence and Digital Competence Training Program aims to help participants gain proficiency in artificial intelligence, data analysis, and digital technologies, building a strong digital skill set for the workforce. The program is designed to equip participants with the knowledge and skills necessary for success in digital transformation.
The training is for professional development purposes, and the certificate obtained does not replace the MYK authorization certificate in trainings where the MYK authorization certificate is mandatory.
Fundamentals of Artificial Intelligence
- What is Artificial Intelligence? Key concepts
- Differences between Artificial Intelligence and Human Intelligence
- Types of Artificial Intelligence: Narrow AI, General AI
- Applications of Artificial Intelligence and its impact on industries
Machine Learning
- What is Machine Learning? Key concepts
- Supervised Learning and Unsupervised Learning
- Data-driven modeling: Regression and classification
- Applications of machine learning algorithms
Data Science and Analysis
- Data analysis process: Data collection, cleaning, and analysis
- Statistical analysis methods and tools
- Data analysis using programming languages like Python and R
- Data visualization and reporting
Deep Learning
- What is Deep Learning? Artificial Neural Networks
- Deep learning algorithms: Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN)
- Applications of deep learning: Image recognition, natural language processing
Natural Language Processing (NLP)
- Key concepts and applications of NLP
- Text analysis, sentiment analysis, text classification
- Chatbots and virtual assistants
AI and Ethics
- Ethical issues in AI: Privacy, data security
- AI and the workforce: Automation and job loss concerns
- Responsible AI use and human-centered AI
Digital Competence and Transformation
- Fundamentals of digital transformation
- Digital tools and software: Cloud technologies, IoT, big data
- Developing digital competencies: Using online platforms and digital tools
- Digital strategies and application examples in business
Practical Projects and Applications
- Participants will apply theoretical knowledge to real-world projects
- Data analysis, machine learning model building, and AI-based application development
- Real-time data analysis and modeling projects
The training is open to corporate collaborations, and individual applications are not accepted. The training content can be re-planned based on the corporate participant profile and your specific needs. Following mutual discussions, the scope and method of the training (In-person, Online) will be determined, and the related processes will be completed. If an agreement is reached, the suitable dates and times for your institution's participants and our instructors, as well as the location of the training, will be determined.