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 Duration 14 hours

Course Outline

Introduction to Artificial Intelligence

  • Defining AI: Historical context and development
  • Overview of competitors: OpenAI ChatGPT, Google Gemini, Microsoft Copilot

DeepSeek Overview

  • What is DeepSeek? Core features and capabilities
  • Structural components and architectural design
  • Industry-specific applications of DeepSeek

AI Concepts

  • Data preparation and feature engineering techniques
  • Processes for model training and assessment

DeepSeek Use Cases

  • Generating and summarizing text content
  • Conducting sentiment analysis and text classification
  • Case studies: DeepSeek in practical use

Ethical AI and Responsible Use

  • Identifying bias within AI models
  • Navigating ethical challenges in AI development
  • Adopting best practices for responsible AI deployment

Hands-on Exercises

  • Navigating the DeepSeek interface and toolset
  • Constructing a basic AI model with DeepSeek
  • Evaluating and interpreting model results

Future Trends

  • Current developments and emerging directions
  • DeepSeek's projected impact on the future of AI
  • Pathways for advanced learning and specialization

Summary and Next Steps

Requirements

  • Familiarity with basic computer operations
  • No prior knowledge of AI is required

Target Audience

  • IT professionals with an interest in AI
  • Business professionals exploring AI opportunities

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