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Course Outline

Foundations of Artificial Intelligence

  • Defining AI: Historical context and evolution
  • Leading platforms including OpenAI ChatGPT, Google Gemini, and Microsoft Copilot

Understanding DeepSeek

  • DeepSeek defined: Core features and capabilities
  • Examining DeepSeek's architecture and key components
  • DeepSeek applications across various industries

Core AI Concepts

  • Data preprocessing and feature engineering techniques
  • Processes for model training and evaluation

Practical DeepSeek Applications

  • Text generation and summarization tasks
  • Sentiment analysis and data classification
  • Case studies demonstrating DeepSeek in real-world environments

Ethical AI and Responsible Usage

  • Identifying bias within AI models
  • Ethical frameworks in AI development
  • Best practices for deploying AI responsibly

Practical Exercises

  • Navigating DeepSeek's interface and toolset
  • Constructing a basic AI model using DeepSeek
  • Evaluating and interpreting model outputs

Future Developments

  • Emerging trends in the field
  • DeepSeek's anticipated role in the future of AI
  • Pathways for further learning and specialization

Summary and Recommendations

Requirements

  • Familiarity with basic computer operations
  • No previous experience with AI required

Target Audience

  • IT professionals interested in AI
  • Business professionals investigating AI applications
 14 Hours

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