Course Outline
Day 1
Introduction to Generative AI and Prompt Engineering
- Understanding what generative AI is and how it differs from traditional automation
- The critical role of prompt engineering in determining the quality of AI output
- An overview of the current ecosystem encompassing text, image, audio, and video tools
- Identifying where prompt engineering delivers tangible business value
Foundations of AI Models for Text and Image Generation
- A plain-language explanation of how large language models and diffusion models operate
- Distinguishing between training data, fine-tuning, and prompting
- Recognizing the strengths and limitations of pre-trained models
- Understanding why model architecture influences how we craft prompts
Comparing the Leading AI Assistants
- Microsoft Copilot: Strengths in Microsoft 365 integration (Word, Excel, Outlook, Teams), enterprise data grounding; weaknesses include limited creative range and reasoning depth compared to competitors
- Google Gemini: Strengths in native multimodality, Workspace integration, and real-time search grounding; weaknesses involve inconsistency, regional availability issues, and difficulties following complex instructions
- ChatGPT: Strengths in ecosystem maturity, custom GPTs, image generation via DALL-E, and voice mode; weaknesses include factual reliability without grounding and stricter usage limits on premium features
- Claude: Strengths in handling long contexts, nuanced reasoning, long-form writing, and clear-headed analysis; weaknesses include a narrower tool ecosystem and limited image generation capabilities
- Strategies for selecting the appropriate tool based on specific tasks, audiences, or compliance requirements
- A side-by-side comparison of how each assistant handles the same prompt
Principles of Effective Prompt Design
- Establishing clarity, specificity, and context as the three foundational pillars of a strong prompt
- Structuring instructions, tone, format, and constraints effectively
- Identifying common mistakes made by beginners and learning how to spot them
- Iterating from a basic prompt to a high-performing one
Day 2
Zero-Shot, One-Shot, and Few-Shot Prompting
- Differentiating between the three approaches and knowing when to apply each
- Interpreting model behavior and adjusting examples accordingly
- Teaching a model a new task using only a few carefully selected samples
- Practical exercises across ChatGPT, Copilot, Gemini, and Claude
Advanced Prompt Engineering Techniques
- Crafting conditional and context-aware prompts for more nuanced outputs
- Employing style transfer, persona prompting, and creative direction
- Utilizing 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 a niche task using example-driven prompts
- Deciding when prompt engineering is sufficient versus when fine-tuning offers better ROI
- Evaluating output quality and refining results iteratively
Hyper-Realistic Text Generation
- Generating text with controlled tone, voice, and length
- Producing long-form content, summaries, reports, and structured documents
- Maintaining coherence throughout 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 tasks
- An overview of customer support and chatbot use cases
- Designing reusable prompt templates for teams without the need for retraining
- Implementing 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
- Writing prompts that precisely control style, composition, lighting, and subject matter
- Using negative prompts, weighting techniques, and iterative refinement
- Performing image-to-image transformations and editing through prompts
Audio and Speech with AI
- Generating natural-sounding speech from text prompts
- Understanding the concepts behind voice cloning and synthesis
- Exploring use cases in training content, accessibility features, and marketing campaigns
Video Content Creation with Generative AI
- Surveying current text-to-video tools and understanding their realistic capabilities
- Scripting and storyboarding through sequential prompts
- Integrating AI-generated text, images, audio, and video into a single cohesive asset
- Editing and refining video output created by AI tools
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
- Examining real-world case studies from marketing, design, training, and advertising sectors
Ethics, Responsible Use, and What Comes Next
- Addressing bias, copyright, attribution, and content moderation issues
- Considering privacy and data protection implications when using generative platforms
- Ensuring disclosure, transparency, and trust with end customers
- Highlighting emerging tools, models, and trends to monitor over the next 12 months
- Course summary and recommended next steps
Requirements
Target Audience
This course is designed for marketing, communications, and creative professionals who are exploring AI-assisted content production. It also suits business operations and customer-facing teams aiming to automate repetitive interactions using prompt-driven tools. Additionally, it is ideal for beginners with no prior experience in AI or programming who seek a structured, tool-focused entry point into the world of 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 4800 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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)
