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Duration 14 hours
Course Outline
Introduction to Generative AI with DeepSeek
- Survey of DeepSeek models in the context of generative AI.
- Exploring text, image, and multimedia generation mechanisms.
- Real-world applications of AI across creative industries.
Exploring Text Generation and Storytelling
- Leveraging DeepSeek for intelligent content creation.
- Strategies for structuring and refining AI-generated text.
- Developing AI-assisted storytelling and narrative frameworks.
AI-Powered Image and Art Generation
- Utilizing DeepSeek Vision for advanced image processing and synthesis.
- Integrating DeepSeek with complementary generative models, such as Stable Diffusion.
- Enhancing visual output through style transfer and filtering techniques.
Developing AI-Driven Creative Applications
- Embedding generative AI into established creative workflows.
- Constructing AI-assisted instruments for writing, design, and media.
- Analyzing case studies of successful AI-driven creative initiatives.
Optimizing AI-Generated Outputs
- Fine-tuning AI responses to ensure consistency and coherence.
- Managing creativity levels and variability within AI models.
- Navigating ethical considerations associated with AI-generated content.
Scaling AI-Generated Content for Production
- Deploying generative AI applications in production environments.
- Managing the volume and quality of AI-generated content at scale.
- Upholding responsible AI practices within the creative sector.
Future Trends in Generative AI
- Emerging advancements in AI-generated media.
- Evolving trends in AI-assisted creativity and human-AI collaboration.
- Shaping the future landscape of generative AI applications.
Summary and Next Steps
Requirements
- Practical experience with AI models and neural network architectures.
- Strong proficiency in a primary programming language, such as Python or JavaScript.
- Fundamental comprehension of creative AI principles.
Target Audience
- AI researchers investigating the frontiers of generative models.
- Creative professionals seeking to integrate AI into their content generation processes.
- Senior developers architecting AI-powered creative applications.
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt
