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Course Outline
Introduction to Advanced Prompt Engineering
- Examining the function of prompts within DeepSeek LLM
- How prompt architecture influences AI-generated outputs
- Analysis of prompt behavior across DeepSeek-R1, DeepSeek-V3, and other LLMs
Designing Effective Prompts
- Creating clear, structured prompts
- Methods for managing tone, length, and formatting
- Navigating ambiguous and open-ended inquiries
Optimizing AI Responses
- Tailoring prompts for specific operational tasks
- Modifying temperature and token limits to control responses
- Implementing system messages and role-based prompting
Context Management and Prompt Chaining
- Persisting context across multiple AI interactions
- Linking prompts to steer complex workflows
- Applying memory and reference methods in extended dialogues
Reducing Bias and Improving AI Reliability
- Identifying and mitigating biases in AI outputs
- Verifying factual accuracy in AI responses
- Ethical frameworks for prompt engineering
Testing and Evaluating Prompt Performance
- Assessing the quality and consistency of AI responses
- Automating the testing and evaluation of prompts
- Case studies demonstrating successful prompt engineering approaches
Deploying AI-Powered Applications with Optimized Prompts
- Integrating refined prompts into enterprise-level processes
- Enhancing AI-driven chatbots and automation systems
- Scaling prompt strategies for diverse use cases
Emerging Trends in Prompt Engineering
- Recent advancements in LLMs and prompt optimization
- Fostering hybrid AI-human collaboration via prompt engineering
- Future developments in controlling AI-generated content
Summary and Next Steps
Requirements
- Practical experience with large language models (LLMs) and AI APIs
- Proficiency in at least one programming language, such as Python or JavaScript
- Fundamental knowledge of NLP and text generation methodologies
Target Audience
- AI engineers developing LLM-based solutions
- Developers enhancing AI-driven workflows
- Data analysts focused on improving AI-generated data
14 Hours
