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
Day 1
Introduction to Generative Artificial Intelligence and Prompt Engineering
- Defining generative AI and distinguishing it from conventional automation frameworks
- The critical function of prompt engineering in ensuring the accuracy and quality of AI outputs
- An overview of the current technological landscape, including tools for text, image, audio, and video generation
- Identifying areas where prompt engineering delivers measurable operational value for government agencies
Foundational Principles of AI Models for Text and Image Generation
- A plain-language explanation of large language models and diffusion model mechanisms
- Differentiating between training data, fine-tuning processes, and live prompting strategies
- Assessing the capabilities and inherent limitations of pre-trained models
- Understanding how model architecture influences prompt construction and effectiveness
Evaluation of Leading AI Assistants
- Microsoft Copilot, highlighting its integration with Microsoft 365 components such as Word, Excel, Outlook, and Teams, alongside enterprise data grounding capabilities, while noting limitations in creative versatility and deep reasoning compared to competitors
- Google Gemini, emphasizing native multimodal support, Workspace integration, and real-time search grounding, while acknowledging issues with consistency, regional availability, and complex instruction adherence
- ChatGPT, focusing on ecosystem maturity, custom GPT features, image generation via DALL-E, and voice mode, while identifying constraints related to factual reliability without external grounding and usage limits on premium features
- Claude, recognizing its strengths in long-context processing, nuanced reasoning, and detailed analysis, while noting gaps in tool ecosystem breadth and image generation capabilities
- Selecting the appropriate tool based on specific task requirements, audience needs, and compliance constraints for government use
- A comparative demonstration of identical prompts across all four major assistants
Principles of Effective Prompt Design
- Establishing clarity, specificity, and context as the core components of effective prompts
- Structuring instructions, tone, format, and operational constraints
- Identifying common errors in initial prompt attempts and methods for detection
- The process of iteratively refining a basic prompt into a high-performance instruction set
Day 2
Zero-Shot, One-Shot, and Few-Shot Prompting Strategies
- Distinguishing between these three methodologies and determining the appropriate application for each
- Interpreting model behavior and modifying examples to optimize results
- Instructing models on new tasks using a limited set of carefully selected samples
- Hands-on exercises utilizing ChatGPT, Copilot, Gemini, and Claude
Advanced Prompt Engineering Methodologies
- Developing conditional and context-aware prompts to achieve nuanced and accurate outputs
- Applying style transfer, persona definition, and creative direction techniques
- Implementing chain-of-thought and step-by-step reasoning prompts to enhance logical consistency
- Mitigating hallucinations, ambiguity, and bias in AI-generated responses
Few-Shot Fine-Tuning Without Coding
- Defining few-shot fine-tuning and contrasting it with full model training cycles
- Adapting models to specialized tasks through example-driven prompting techniques
- Determining when prompt engineering is sufficient versus when fine-tuning is the more efficient investment
- Assessing output quality and implementing iterative refinement processes
Advanced Text Generation Techniques
- Generating text with precise control over tone, voice, and length
- Creating long-form content, executive summaries, reports, and structured documentation
- Ensuring coherence and consistency across multi-step generation processes
- Utilizing prompt patterns to achieve repeatable and institutionally aligned results
Applying Prompt Engineering to Operational Workflows
- Streamlining routine drafting, research, and information triage processes
- Exploring applications in public service support and automated chatbot interactions
- Developing reusable prompt templates for teams that eliminate the need for retraining
- Implementing quality control measures, escalation protocols, and human-in-the-loop verification checkpoints
Day 3
Image Generation and Manipulation
- Comparative analysis of DALL-E, Stable Diffusion, MidJourney, and Leonardo AI
- Crafting prompts to precisely control style, composition, lighting, and subject matter
- Utilizing negative prompts, weighting, and iterative refinement for improved results
- Performing image-to-image transformations and edits via prompt instructions
Audio and Speech Synthesis with AI
- Generating natural-sounding speech from textual input
- Understanding voice cloning and synthesis concepts at a foundational level
- Identifying use cases in workforce training, accessibility initiatives, and public communications
Video Content Creation with Generative AI
- Reviewing current text-to-video tools and their realistic capabilities
- Developing scripts and storyboards through sequential prompt engineering
- Integrating AI-generated text, images, audio, and video into cohesive multimedia assets
- Editing and refining AI-created video output for final delivery
Multimodal AI and Integrated Workflows
- Understanding how multimodal models unify reasoning across text, image, audio, and video
- Constructing end-to-end content pipelines without requiring programming knowledge
- Examining case studies in public relations, design, training, and outreach programs
Ethics, Responsible Use, and Future Directions
- Addressing issues of bias, copyright, attribution, and content moderation
- Considering privacy and data protection implications when utilizing generative platforms
- Maintaining disclosure, transparency, and public trust in AI-assisted communications
- Monitoring emerging tools, models, and trends relevant to the next 12 months
- Summary of key takeaways and recommended next steps
Requirements
Targeted Audience
Marketing, communications, and creative professionals seeking to utilize AI-assisted content production. Business operations and customer service teams aiming to streamline repetitive interactions through prompt-driven tools. Individuals with no prior experience in AI or programming who require a structured, tool-centric entry point to generative artificial intelligence for government applications.
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
