Course Outline
Day 1
Introduction to Generative AI and Prompt Engineering
- Understanding generative AI and how it diverges from traditional automation
- The critical role of prompt engineering in influencing the quality of AI outputs
- A comprehensive overview of the current landscape of text, image, audio, and video tools
- Identifying where prompt engineering delivers tangible business value
Foundations of AI Models for Text and Image Generation
- Explaining the mechanics of large language models and diffusion models in accessible terms
- Distinguishing between training data, fine-tuning, and prompting
- Recognizing the strengths and limitations of pre-trained models
- Understanding how model architecture influences prompt design
Comparing the Leading AI Assistants
- Microsoft Copilot: strengths in Microsoft 365 integration (Word, Excel, Outlook, Teams workflows) and enterprise data grounding; limitations in creative range and reasoning depth relative to competitors
- Google Gemini: strengths in native multimodality, Workspace integration, and real-time search grounding; limitations regarding inconsistency, regional availability, and adherence to instructions for complex tasks
- ChatGPT: strengths in ecosystem maturity, custom GPTs, DALL-E image generation, and voice mode; limitations in factual reliability without grounding and stricter usage limits on premium features
- Claude: strengths in long-context handling, nuanced reasoning, long-form writing, and clear analytical insights; limitations in tool ecosystem breadth and image generation capabilities
- Strategies for selecting the appropriate tool based on task requirements, audience, or compliance constraints
- A comparative walkthrough of the same prompt executed across all four assistants
Principles of Effective Prompt Design
- Establishing clarity, specificity, and context as the three fundamental pillars of an effective prompt
- Structuring instructions, tone, format, and constraints
- Identifying common pitfalls encountered by beginners and how to spot them
- The process of iterating from an ineffective prompt to a high-performing one
Day 2
Zero-Shot, One-Shot, and Few-Shot Prompting
- Differentiating between these three approaches and determining when to apply each
- Observing model behaviour and adjusting examples accordingly
- Teaching a model a new task using only a select few high-quality samples
- Practical exercises conducted across ChatGPT, Copilot, Gemini, and Claude
Advanced Prompt Engineering Techniques
- Utilizing conditional and context-aware prompts for nuanced outputs
- Implementing style transfer, persona prompting, and creative direction
- Applying chain-of-thought and step-by-step reasoning prompts
- Minimizing hallucinations, ambiguity, and bias in AI responses
Few-Shot Fine-Tuning Without Code
- Defining few-shot fine-tuning and distinguishing it from full model training
- Adapting a model to niche tasks using example-driven prompts
- Determining when to employ prompt engineering versus when fine-tuning offers better ROI
- Evaluating output quality and refining iteratively
Hyper-Realistic Text Generation
- Generating text with controlled tone, voice, and length
- Producing long-form content, summaries, reports, and structured documents
- Maintaining coherence across multi-step generation processes
- Combining prompt patterns to achieve repeatable, brand-aligned results
Applying Prompt Engineering to Business Workflows
- Automating routine drafting, research, and information triage
- An overview of customer support and chatbot use cases
- Designing reusable prompt templates for teams without requiring retraining
- Establishing quality control, escalation logic, and human-in-the-loop checkpoints
Day 3
Image Generation and Manipulation
- Comparing DALL-E, Stable Diffusion, MidJourney, and Leonardo AI
- Crafting prompts that control style, composition, lighting, and subject matter
- Utilizing negative prompts, weighting, and iterative refinement
- Performing image-to-image transformation and editing through prompts
Audio and Speech with AI
- Generating natural-sounding speech from text prompts
- Conceptual overview of voice cloning and synthesis
- Application cases in training content, accessibility, and marketing
Video Content Creation with Generative AI
- Overview of current text-to-video tools and their realistic capabilities
- Scripting and storyboarding through prompt sequences
- Integrating AI-generated text, images, audio, and video into a single asset
- Editing and refining AI-created video outputs
Multimodal AI and Integrated Workflows
- How multimodal models unify reasoning across text, image, audio, and video
- Building end-to-end content pipelines without writing code
- Real-world case studies from marketing, design, training, and advertising sectors
Ethics, Responsible Use, and Future Directions
- Addressing bias, copyright, attribution, and content moderation
- Privacy and data protection considerations when utilizing generative platforms
- Ensuring disclosure, transparency, and trust with end customers
- Emerging tools, models, and trends to monitor over the next 12 months
- Summary and Next Steps
Requirements
Targeted Audience
Marketing, communications, and creative professionals seeking to explore AI-assisted content production. Business operations and customer-facing teams aiming to automate repetitive interactions via prompt-driven tools. Beginners with no prior experience in AI or programming who desire a structured, tool-centric introduction to generative AI.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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Testimonials (2)
The interactive style, the exercises
Tamas Tutuntzisz
Course - Introduction to Prompt Engineering
A great repository of resources for future use, instructor's style (full of good sense of humor, great level of detail)
