Course Outline

Introduction to Generative AI with DeepSeek

  • Overview of DeepSeek models for generative AI
  • Understanding text, image, and multimedia generation
  • Applications of AI in creative industries

Exploring Text Generation and Storytelling

  • Using DeepSeek for AI-powered content creation
  • Techniques for structuring and refining AI-generated text
  • Building AI-assisted storytelling and narrative tools

AI-Powered Image and Art Generation

  • DeepSeek Vision for image processing and synthesis
  • Combining DeepSeek with other generative models (e.g., Stable Diffusion)
  • Enhancing AI-generated images with style transfer and filters

Developing AI-Driven Creative Applications

  • Integrating generative AI into creative workflows
  • Building AI-assisted writing, design, and media tools
  • Case studies of successful AI-driven creative projects

Optimizing AI-Generated Outputs

  • Fine-tuning AI responses for consistency and coherence
  • Controlling creativity and variability in AI models
  • Addressing ethical considerations in AI-generated content

Scaling AI-Generated Content for Production

  • Deploying generative AI applications in production
  • Managing AI-generated content at scale
  • Ensuring responsible AI use in creative industries

Future Trends in Generative AI

  • Advancements in AI-generated media
  • Trends in AI-assisted creativity and human-AI collaboration
  • Building the future of generative AI applications

Summary and Next Steps

Requirements

  • Experience with AI models and neural networks
  • Proficiency in a programming language (e.g., Python, JavaScript)
  • Basic understanding of creative AI concepts

Audience

  • AI researchers exploring generative models
  • Creative professionals leveraging AI for content generation
  • Advanced developers working on AI-powered creative applications
 14 Hours

Number of participants


Price per participant

Provisional Upcoming Courses (Require 5+ participants)

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