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Duration 14 hours
Course Outline
Introduction to Generative AI with DeepSeek
- Overview of DeepSeek models in the context of generative AI
- Exploring text, image, and multimedia generation mechanics
- The role of AI within creative industries
Investigating Text Generation and Narrative Arts
- Leveraging DeepSeek for automated content production
- Strategies for structuring and refining AI-written text
- Constructing AI-supported tools for storytelling and narrative flow
Image and Art Creation via AI
- Utilizing DeepSeek Vision for image analysis and synthesis
- Integrating DeepSeek with complementary generative models (e.g., Stable Diffusion)
- Polishing AI-generated visuals through style transfer and filtering techniques
Building AI-Driven Creative Solutions
- Embedding generative AI into established creative pipelines
- Developing AI-assisted tools for writing, design, and media
- Analyzing case studies of successful AI-driven creative endeavors
Refining AI-Generated Results
- Adjusting AI responses for improved consistency and coherence
- Regulating creativity and variability within AI frameworks
- Navigating ethical implications of AI-created content
Scaling AI Content for Production Environments
- Launching generative AI applications in live production
- Overseeing AI-generated content at large scale
- Promoting responsible AI adoption within the creative sector
Emerging Trends in Generative AI
- Progressions in AI-produced media formats
- Evolving patterns in AI-assisted creativity and human-machine collaboration
- Shaping the future landscape of generative AI applications
Conclusion and Forward-Looking Strategies
Requirements
- Practical experience with AI models and neural networks
- Strong proficiency in at least one programming language (such as Python or JavaScript)
- A foundational grasp of creative AI principles
Target Audience
- AI researchers investigating generative model architectures
- Creative professionals utilizing AI to enhance content production
- Senior developers engineering AI-driven 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