Training: Prompt Engineering
Level
IntermediateDuration
24h / 3 daysDate
Individually arrangedPrice
Individually arrangedTraining: Prompt Engineering
The Prompt Engineering training is a practical course that teaches you how to design precise prompts for AI models such as ChatGPT to fully leverage their potential in work automation, data analysis, and creative content production. The workshops are focused on real-world applications and prompt optimization techniques, enabling participants to quickly gain skills that translate into tangible time savings and increased efficiency across business and academic domains.
Who is this training for?
Professionals seeking to boost efficiency with AI models without deep programming knowledge-
Marketers, copywriters, data analysts, and managers looking for automation tools for daily tasks
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Developers and data engineers interested in practical generative AI applications
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Project leaders and team managers implementing AI technologies in organizations, as well as those responsible for data security
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Creative professionals and technology enthusiasts eager to master effective communication with AI
What will you learn?
- How to design effective prompts tailored to various use cases and AI models
- Techniques for optimizing and testing prompts to obtain accurate and valuable responses
- How to integrate AI into business processes while addressing security and ethical considerations
- Practical skills in leading projects based on prompt engineering, increasing productivity and innovation at work
Program
Day 1: Fundamentals and Effective Communication with AI
Module 1: Introduction to AI and Prompt Engineering
- Fundamentals of language models and their capabilities
- Differences between generative AI and classical ML
- Key rules for creating effective prompts and avoiding common pitfalls
- Overview of alternative tools based on large language models
Module 2: Creating and Optimizing Prompts in Practice
- Key concepts: prompt, model hallucinations, limitations and pitfalls when working with AI
- Techniques for designing prompts for different scenarios (text generation, data analysis, etc.)
- Practical workshops on formulating, testing, and refining prompts for higher-quality AI responses
- Iterative refinement and structured approaches to boost accuracy
Day 2: Advanced Methods and Prompt Engineering Applications
Module 3: Advanced Prompting Techniques and Personalization
- Building longer contexts, query sequences, and controlling the style of responses
- Creating complex prompts: context, style control, few-shot learning, chain-of-thought
- Using prompts in automation, marketing, customer support, and other business areas
- Case studies: content automation (emails, analytics, summaries), specialized prompts for business and recruitment use cases
Module 4: AI Integration, Risk Management, Ethics & Security
- Practical aspects of AI adoption: monitoring response quality, managing errors and undesired outputs
- Risk management: identifying model errors/hallucinations and mitigating unwanted outcomes
- Best practices for implementing AI in teams, including data security strategies and business communication impacts
- Ethical considerations and security in working with generative AI models
Day 3: Practical Workshops and Application Projects
Module 5: Real-World Projects Using Prompt Engineering
- Team-based work on real business cases: analysis, design, and testing of prompts
- Presenting results, discussing best practices, and identifying potential improvements
- Optimizing team productivity with AI: integrating prompting into software craftsmanship and workflow efficiency
Module 6: Trends, Tools, and Continued Skill Development
- Review of the latest prompt engineering support tools (prompt analyzers, prompt generators, etc.)
- Discussion on the future of generative AI and directions for professional development
