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 Duration 14 hours

Course Outline

Foundations of AI in Visual Production

  • The historical progression and current state of AI in the arts
  • Core principles and capabilities of visual AI systems
  • Configuring an optimized environment for AI-driven creation

Core Principles of Prompt Engineering

  • Structuring effective prompts: linguistic considerations and syntax
  • The text-image dynamic: deciphering how AI processes instructions
  • Critical analysis of prompt success rates and common failures

Advanced Prompting Strategies

  • Adapting style and content to suit specific artistic genres
  • Constructing multi-element, complex scene compositions
  • Leveraging prompts to drive narrative and emotional resonance

Applied Prompt Engineering

  • Static imagery: techniques for portraits, landscapes, and abstract forms
  • Motion media: storyboarding and character development workflows
  • Interactive ecosystems: asset generation for gaming and application development

Professional Tools and Platforms

  • Comparative analysis of major AI art generators and their distinct features
  • Streamlining creative workflows through AI integration
  • Practical sessions utilizing leading-edge visual production software

Ethics and Industry Trajectories

  • Navigating ethical dilemmas: issues of authorship and originality
  • Forecasting trends: the expanding influence of AI in creative sectors
  • Staying current: strategies for tracking ongoing AI innovations

Capstone Project and Review

  • Project conceptualization, debugging, and final execution
  • Professional presentation of completed work
  • Comprehensive evaluation and constructive feedback

Conclusion and Path Forward

Requirements

  • Foundational knowledge of basic AI concepts
  • Hands-on experience in digital art or visual media production
  • Proficiency with command-line interfaces

Target Audience

  • Visual content creators
  • Digital artists
  • Enthusiasts exploring AI technologies

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