Global Learning for Operational Leaders
Course DIT-010
Master the Art of Prompt Engineering
Prompt Engineering has become a critical skill for professionals seeking to maximize the value of Artificial Intelligenc... The outline covers Foundations of Large Language Models (LLMs), Introduction to Prompt Engineeri...
- 5 daysClassroom or online
- 14Upcoming dates
- 14Cities
- €1,625Fees from
Classroom
14 sessions
Scroll for more
Online / Live
14 sessions
Scroll for more
Introduction
Course overview
Prompt Engineering has become a critical skill for professionals seeking to maximize the value of Artificial Intelligence and Large Language Models (LLMs). This course provides participants with a practical understanding of how AI models work, how to design effective prompts, and how to apply advanced prompting techniques to improve accuracy, productivity, creativity, and decision-making across a variety of business and technical applications.
What you will achieve
Learning objectives
- Understand the fundamentals of Large Language Models (LLMs) and Generative AI
- Design effective prompts for a variety of business and technical applications
- Apply advanced prompt engineering techniques to improve AI outputs
- Evaluate and optimize prompt performance using structured methods
- Reduce inaccuracies, ambiguity, and repetitive responses
- Utilize prompt frameworks and reusable prompt templates
- Apply prompt engineering to content creation, analysis, automation, and decision support
Who should attend
Target audience
- AI and digital transformation professionals
- Business analysts and consultants
- IT professionals and developers
- Data and innovation specialists
- Content creators and knowledge workers
- Project managers and business leaders
- Anyone seeking to leverage Generative AI tools effectively
Methodology
Learning approach
- The course combines interactive presentations, hands-on workshops, practical exercises, AI demonstrations, group discussions, prompt design labs, real-world case studies, and project-based learning to ensure practical application of prompt engineering techniques.
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
Foundations of Large Language Models (LLMs)
- Understanding the fundamentals of Large Language Models and Generative AI technologies
- Exploring the capabilities, limitations, and business applications of LLMs
- Understanding different language model architectures and their use cases
- Coffee break
- Understanding different language model architectures and their use cases (continued)
- Reviewing autoregressive, transformer-based, and encoder-decoder models
- Understanding pre-trained, fine-tuned, multilingual, and hybrid AI models
- Identifying opportunities for AI adoption across business functions and industries
Day 2
Introduction to Prompt Engineering
- Understanding the role of prompts in AI interactions and output quality
- Defining prompt engineering concepts and best practices
- Exploring the essential components of effective prompts, including instructions, context, inputs, and output requirements
- Applying common prompt design patterns to improve AI performance
- Coffee break
- Applying common prompt design patterns to improve AI performance (continued)
- Understanding persona-based, audience-focused, and structured interaction approaches
- Exploring zero-shot, few-shot, and example-based prompting techniques
- Practical exercises on prompt construction and refinement
Day 3
Designing High-Performance Prompts
- Understanding the characteristics of effective and reliable prompts
- Applying prompt design principles to improve clarity and consistency
- Establishing performance metrics for evaluating prompt effectiveness
- Coffee break
- Adjusting prompt parameters and settings to optimize outputs
- Controlling response style, structure, and level of detail
- Reducing ambiguity, repetition, and undesired model behavior
- Practical workshop on prompt optimization and performance testing
Day 4
Advanced Prompt Engineering Techniques
- Developing reusable prompt frameworks and prompt libraries
- Understanding semantic search, embeddings, and knowledge retrieval concepts
- Applying reasoning-oriented prompting techniques to improve problem-solving outcomes
- Utilizing generated knowledge approaches to enhance response quality
- Coffee break
- Utilizing generated knowledge approaches to enhance response quality (continued)
- Implementing consistency and validation techniques for complex tasks
- Exploring structured reasoning frameworks and advanced AI interaction strategies
- Practical exercises on advanced prompt design and testing
Day 5
Prompt Engineering Applications and Future Trends
- Applying prompt engineering techniques to business and technical use cases
- Developing prompts for content generation, summarization, and information analysis
- Utilizing AI for coding assistance, documentation, and productivity enhancement
- Understanding ethical considerations, responsible AI use, and governance principles
- Coffee break
- Understanding ethical considerations, responsible AI use, and governance principles (continued)
- Identifying and troubleshooting common prompt design challenges
- Exploring emerging trends and future developments in prompt engineering
- Final project: Designing, testing, and presenting a high-impact prompt solution
- Course recap, lessons learned, and Q&A session
Course FAQs
Questions about this course
What participants and training managers usually ask before booking Master the Art of Prompt Engineering. Can't find your answer?
What does Master the Art of Prompt Engineering (DIT-010) cover?
This course covers Digital Innovation and Transformation through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 16 - 20 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
AI and digital transformation professionals, Business analysts and consultants, IT professionals and developers
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include Barcelona, Dubai, Cape Town, Amsterdam, London, Istanbul, Munich, Paris, Frankfurt, Kuala lumpur, Rome, Vienna, Geneva, Madrid.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
Quick request
Send quick request
Send a fast enquiry about this course and the academy team will get back to you.
Get a quotation
Request a formal quotation
Choose an available date and venue, add your participants, and we will email a formal quotation for Master the Art of Prompt Engineering to your business address.