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People who have not previously interacted with or have had only limited exposure to artificial intelligence tools.
To provide participants with comprehensive knowledge and practical skills for using artificial intelligence tools in everyday work, in order to improve work efficiency and simplify work processes.
Introduction to artificial intelligence and its applications
AI applications in various fields
Opportunities and risks associated with artificial intelligence
Introduction to Standard Operating Procedures (SOP)
The importance of SOPs and the role of AI in process optimisation
Practical examples of creating and implementing SOPs in AI interactions
Principles of effective communication with AI
Asking questions and giving prompts
Practical exercises in interacting with AI
Review of previous day’s topics with practical activities
Overview and introduction to ChatGPT
ChatGPT usage possibilities and examples
Practical exercises using ChatGPT
Effective communication with ChatGPT
Overview of using AI tools in the office
Data analysis, document creation and analysis
Planning and conducting meetings
Responding to emails and communication with the help of AI
Introduction to various tools and their functionalities
In-Depth Exploration of AI Tools for Office Use
Practical exercises in data analysis
Practical exercises in document creation and analysis
Practical exercises in organising and recording meetings
Practical exercises in responding to emails and communication
Overview of using AI tools in marketing
Creating texts, images, videos, ideas and plans with the help of AI
Introduction to various marketing tools and their functionalities
In-depth exploration of AI tools in marketing
Practical exercises in creating texts
Practical exercises in creating images and videos
Practical exercises in creating ideas and plans
Creating real SOPs with participants
Developing SOPs for specific tasks
Practical exercises in creating and implementing SOPs
Mapping and optimising individual work processes with the help of AI
Mapping participants’ work processes and identifying bottlenecks
Linking AI capabilities to work processes
Optimising individual work processes and developing ways to simplify tasks
Testing, refining and documenting optimised processes
Integrating AI tools into daily work
Evaluating results, planning next steps and concluding the training
Upon completion of the training, the successful execution of independent work and receipt of a positive evaluation from the trainer, participants will be issued a certificate.
The duration of the training is 52 academic hours, including 42 academic hours of classroom work and 10 academic hours of independent work.
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