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Course Outline

Overview of AI and Visual Production

  • Tracing the progression of AI in art and its historical background
  • Gaining insight into the basics and capabilities of visual AI
  • Configuring the environment for AI-driven visual creation

Core Principles of Prompt Engineering

  • Designing effective prompts: focus on language and structure
  • Examining the interplay between text and imagery in AI interpretation
  • Reviewing case studies of both effective and ineffective prompts

Advanced Prompt Strategies

  • Adjusting style and content for targeted genres
  • Building intricate scenes featuring multiple components
  • Using prompts to convey emotion and narrative depth

Applying Prompt Engineering in Practice

  • Generating still images: including portraits, landscapes, and abstract works
  • Working with animation and video: focusing on storyboarding and character design
  • Creating interactive media: producing assets for games and applications

Tools and Technologies in the Industry

  • Surveying various AI art generators and their distinct features
  • Incorporating AI into creative workflows to boost efficiency
  • Practical exercises using top-tier AI visual production tools

Ethical Implications and Future Outlook

  • Discussing the ethics of AI in art: issues of authorship and originality
  • Forecasting trends: the evolving role of AI in creative sectors
  • Staying ahead: strategies for keeping up with AI advancements

Final Project and Evaluation

  • Conceptualizing, solving issues, and finalizing your project
  • Presenting your completed work
  • Receiving evaluation and constructive feedback

Conclusion and Path Forward

Requirements

  • Foundation in fundamental AI concepts
  • Background in digital art or visual media creation
  • Proficiency with command-line interfaces

Intended Audience

  • Visual content creators
  • Digital artists
  • Individuals interested in AI applications
 14 Hours

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