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Course Outline

Foundations of Artificial Intelligence

  • Defining AI: History and evolution
  • Overview of key players: OpenAI ChatGPT, Google Gemini, Microsoft Copilot, and others

DeepSeek Fundamentals

  • Introducing DeepSeek: Primary features and capabilities
  • Analyzing DeepSeek's architectural components
  • Reviewing DeepSeek applications across different industries

Core AI Concepts

  • Techniques for data preprocessing and feature engineering
  • Processes for model training and performance evaluation

Practical Applications of DeepSeek

  • Generating and summarizing text
  • Conducting sentiment analysis and classification
  • Case studies: DeepSeek in real-world action

Ethics and Responsible AI

  • Identifying and understanding bias within AI models
  • Navigating ethical implications in AI development
  • Adopting best practices for responsible usage

Practical Laboratory Work

  • Navigating the DeepSeek interface and toolset
  • Constructing a basic AI model with DeepSeek
  • Interpreting and analyzing model outputs

Looking Ahead

  • Current emerging trends
  • DeepSeek's anticipated role in the future of AI
  • Potential avenues for advanced learning and specialization

Recap and Continuing the Journey

Requirements

  • Familiarity with standard computer operations
  • No previous background in AI is required

Target Audience

  • IT specialists with an interest in AI technologies
  • Business leaders seeking to understand AI applications
 14 Hours

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