Artificial Intelligence Training

Training Duration: 40 Hours

ARTIFICIAL INTELLIGENCE TRAINING PROGRAM

Artificial intelligence automates processes, saving time and increasing efficiency. Machine learning algorithms add value to strategic decision processes by extracting meaningful insights from large data sets. In addition, AI technologies offer significant opportunities to develop innovative solutions and gain competitive advantage.

This training programme covers a wide range of AI technologies from basic principles to advanced applications. Participants will gain practical skills as well as theoretical knowledge on topics such as data analysis, machine learning and AI-supported business processes. The programme has been prepared in accordance with the current needs of the sector and aims to provide participants with a comprehensive competence in integrating artificial intelligence into business processes.

MAIN TOPICS OF THE TRAINING PROGRAM

Introduction and Basic Concepts: Fundamentals, history and application areas of artificial intelligence and machine learning.

Practical Applications: Data analysis, model building and evaluation, applications on real world problems.

Advanced Techniques: Deep learning, natural language processing, computer vision and other advanced AI techniques.

TRAINING CONTENT

1. What is Artificial Intelligence?

  • Artificial Intelligence (AI) Concept and History
  • Applications of AI in Daily Life and Business

2. Fundamentals of Artificial Intelligence and Machine Learning

  • Differences Between AI and Machine Learning (ML)
  • Basic Principles of Machine Learning Algorithms

3. What is Data and Data Analysis?

  • Data Types and Sources
  • Basic Data Analysis Methods

4. Integration of AI Applications into Business Processes

  • How AI Adds Value to Business Processes
  • Examples of Successful AI Projects

5. Data Collection and Cleaning

  • Data Collection Methods and Tools
  • Data Cleaning and Preprocessing Techniques

6. Basic Data Visualisation Techniques

  • Importance of Data Visualisation
  • Popular Data Visualisation Tools and Usage

7. AI and Ethics

  • Ethical Issues in the Use of AI
  • Data Privacy and Security

8. AI and Automation

  • RPA (Robotic Process Automation) and AI Integration
  • Impact of Automation on Business Processes

9. Basic AI Model Creation Steps

  • Creation and Training of a Simple AI Model
  • Evaluation of Model Performance

10. AI Tools and Platforms

  • Easy to Use AI Tools and Platforms
  • Software and Applications for Working with AI

11. Teamwork in AI Projects

  • Different Roles and Responsibilities in AI Projects
  • Project Management and Co-operation

12. AI and Future of Business

  • The Changes AI Will Create in the Business World in the Future
  • Recommendations for Improving AI Skills