Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Generative AI and Prompt Engineering
- Understanding the nature of generative AI and how it contrasts with conventional automation
- The impact of prompt engineering on the quality and precision of AI-generated output
- A snapshot of the current landscape of text, image, audio, and video generation tools
- Identifying the specific business advantages that prompt engineering delivers
Core Concepts: AI Models for Text and Image Creation
- Demystifying the mechanics of large language models and diffusion models in accessible terms
- Distinguishing between training data, fine-tuning processes, and real-time prompting
- Evaluating the capabilities and limitations of pre-trained models
- Understanding how model architecture influences prompt construction strategies
Evaluating Major AI Assistants
- Microsoft Copilot: Leveraging Microsoft 365 integration for Word, Excel, Outlook, and Teams, alongside enterprise data grounding, while noting areas for improvement in creative breadth and complex reasoning
- Google Gemini: Highlighting native multimodal capabilities, Workspace integration, and real-time search grounding, while acknowledging challenges with consistency, regional access, and complex instruction adherence
- ChatGPT: Recognizing its mature ecosystem, custom GPTs, DALL-E integration, and voice features, while being mindful of factual accuracy limits without grounding and premium usage restrictions
- Claude: Appreciating its strength in long-context processing, nuanced reasoning, and long-form analysis, while noting gaps in broader tool integration and image generation
- Strategies for selecting the optimal tool based on specific tasks, target audiences, and compliance requirements
- A comparative analysis applying identical prompts across all four leading assistants
Core Principles of Effective Prompt Design
- Emphasizing clarity, specificity, and context as the foundations of high-quality prompts
- Organizing instructions, tone, formatting, and constraints for better results
- Identifying common beginner errors and developing strategies to avoid them
- Refining weak initial prompts into high-performing, precise instructions
Zero-Shot, One-Shot, and Few-Shot Prompting Strategies
- Differentiating between the three prompting approaches and identifying the best fit for specific scenarios
- Interpreting model behavior to select and adjust relevant examples
- Guiding a model toward new tasks using a small set of carefully selected samples
- Hands-on practice utilizing ChatGPT, Copilot, Gemini, and Claude
Advanced Techniques in Prompt Engineering
- Crafting conditional and context-sensitive prompts to achieve nuanced outputs
- Utilizing style transfer, persona-based prompting, and creative directional cues
- Implementing chain-of-thought and step-by-step reasoning structures
- Minimizing hallucinations, ambiguity, and potential biases in generated responses
Code-Free Few-Shot Fine-Tuning
- Defining few-shot fine-tuning and distinguishing it from comprehensive model training
- Adapting models for specialized tasks through example-driven prompting
- Assessing when to use prompt engineering versus when investment in fine-tuning is justified
- Iteratively evaluating output quality and refining prompts for optimization
Creating Hyper-Realistic Text Content
- Producing text with precise control over tone, voice, and length
- Generating long-form articles, summaries, reports, and structured documentation
- Ensuring coherence and consistency across multi-step generation processes
- Combining prompt patterns to achieve repeatable, brand-consistent results
Integrating Prompt Engineering into Business Processes
- Streamlining routine drafting, research, and information sorting tasks
- Exploring applications in customer support and chatbot interactions
- Developing reusable prompt templates for team-wide adoption without retraining
- Establishing quality controls, escalation protocols, and human-in-the-loop oversight
Image Generation and Modification
- Comparative analysis of DALL-E, Stable Diffusion, MidJourney, and Leonardo AI
- Constructing prompts to manage style, composition, lighting, and subject matter
- Utilizing negative prompts, weighting, and iterative refinement techniques
- Applying image-to-image transformations and editing via prompt directives
AI-Driven Audio and Speech
- Synthesizing natural-sounding speech from text inputs
- Understanding voice cloning and synthesis concepts
- Applying these tools to training materials, accessibility features, and marketing campaigns
Generating Video Content with AI
- Reviewing current text-to-video capabilities and realistic expectations
- Scripting and storyboarding through sequential prompting
- Merging AI-generated text, images, audio, and video into cohesive assets
- Post-production editing and refinement of AI-created video output
Multimodal AI and Unified Workflows
- How multimodal models integrate reasoning across text, image, audio, and video
- Constructing end-to-end content pipelines without coding
- Real-world case studies from marketing, design, corporate training, and advertising sectors
Ethics, Responsible Usage, and Future Trends
- Addressing bias, copyright, attribution, and content moderation issues
- Navigating privacy and data protection concerns in generative AI platforms
- Maintaining transparency and trust through proper disclosure to end-users
- Monitoring emerging tools, models, and industry trends for the next 12 months
Requirements
Intended Participants
Creatives and marketing professionals interested in AI-enhanced content creation. Operational and client-facing teams seeking to streamline repetitive interactions using prompt-driven solutions. Novices with no background in AI or programming who are looking for a structured, practical introduction to generative AI tools.
21 Hours
Testimonials (2)
use of proper and effective prompt
Marses Pacaldo
Course - Generative AI and Prompt Engineering for Corporate Professionals
The interactive style, the exercises
