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Course Outline

Introduction to Artificial Intelligence

  • Defining AI: History and evolution
  • Notable platforms such as OpenAI ChatGPT, Google Gemini, and Microsoft Copilot

Overview of DeepSeek

  • Understanding DeepSeek: Key features and capabilities
  • DeepSeek's architecture and core components
  • Industry applications of DeepSeek

Core AI Concepts

  • Data preprocessing and feature engineering
  • Model training and evaluation methods

DeepSeek Use Cases

  • Text generation and summarization
  • Sentiment analysis and classification
  • Practical real-world examples of DeepSeek in action

Ethical AI and Responsible Implementation

  • Recognizing bias in AI models
  • Ethical considerations in AI development
  • Best practices for the responsible use of AI

Hands-on Exercises

  • Navigating DeepSeek's interface and tools
  • Constructing a basic AI model using DeepSeek
  • Analyzing and interpreting model outputs

Future Trends

  • Emerging industry trends
  • DeepSeek's evolving role in the future of AI
  • Opportunities for further learning and specialization

Summary and Next Steps

Requirements

  • Familiarity with basic computer operations
  • None required for AI experience

Target Audience

  • IT professionals interested in exploring AI
  • Business professionals investigating AI solutions
 14 Hours

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