Unlock the full potential of generative AI by mastering the art and science of prompting, model selection, and strategic content creation. This hands-on program guides you through building high-impact outputs—from text and visuals to audio and video—using advanced prompt engineering, chaining, and iterative refinement. You’ll explore how different models behave, navigate real-world challenges across creative disciplines, and apply ethical frameworks, especially in sensitive domains like healthcare. By the end, you’ll confidently design, generate, and optimize AI-driven content for business, academic, and creative applications.
Module 1: Foundations of Generative AI
Overview of GenAI models and capabilities
LLMs vs SLMs vs specialized models
Navigating the AI ecosystem
Module 2: Prompt Engineering Essentials
Core prompting principles
Prompt structures and frameworks
Common pitfalls and limitations
Module 3: Iterative Prompting & Prompt Chaining
Iterative refinement techniques
Multi-step prompt chaining workflows
Testing and optimizing prompts
Module 4: Model Strategy & Selection
Comparing mini GPTs, domain-specific models
Matching models to tasks
Performance, cost, and scalability considerations
Module 5: Advanced Content Generation (Text)
Long-form academic and technical writing
AI-assisted research and drafting
Editing, refinement, and quality control
Module 6: Visual Creation (Images & Design)
Image generation techniques
Designing logos, branding assets, and graphics
Prompting across visual art styles
Module 7: Multimedia Generation (Audio & Video)
Creating music, voice, and video content
Cross-modal prompting strategies
Integrating multimedia into workflows
Module 8: Web & Marketing Content Creation
Writing website content and UX copy
Crafting slogans, campaigns, and brand voice
Strategic content production at scale
Module 9: Improving Outputs Through Strategic Interaction
Feedback loops and prompt debugging
Output evaluation and refinement methods
Building repeatable workflows
Module 10: Prompting Across Creative Disciplines
Adapting prompts for different art forms
Style transfer and creative control
Managing ambiguity and creativity
Module 11: Ethical, Legal, and Healthcare Considerations
Bias, hallucinations, and risk mitigation
Ethical challenges in healthcare AI use
Responsible AI frameworks and governance
Module 12: Capstone: Strategic AI Content System
End-to-end AI content project
Multi-format content creation (text, image, media)
Deployment-ready workflow and portfolio development
Upon completion, learners will be able to:
Design effective prompts using iterative prompting, chaining, and testing frameworks
Compare GenAI models (LLMs, SLMs, mini GPTs, specialized models) and select the right tool for each task
Generate high-quality text, images, audio, and video using structured prompt strategies
Diagnose and improve AI outputs through strategic interaction and refinement
Apply prompting techniques across domains (creative arts, marketing, technical writing, web content)
Produce long-form academic and technical content using AI-assisted workflows
Create brand assets including logos, slogans, and website copy
Understand limitations, biases, and ethical risks—especially in healthcare use cases
Navigate the evolving AI landscape and apply tools for real-world productivity
Develop scalable workflows for consistent, high-quality AI-generated content
Certificate of completion
This class is an independent-study course. Learners will have all the resources needed to successfully complete the course within the online material. A student helpdesk is available for technical support during the course enrollment.