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Course Outline

Introduction to Artificial Intelligence

  • What is AI? History and evolution.
  • Overview of tools like OpenAI ChatGPT, Google Gemini, Microsoft Copilot, etc.

DeepSeek Overview

  • What is DeepSeek? Key features and capabilities.
  • DeepSeek’s architecture and key components.
  • Applications of DeepSeek across various industries.

Core AI Concepts

  • Data preprocessing and feature engineering.
  • Model training and evaluation techniques.

DeepSeek Use Cases

  • Text generation and summarization.
  • Sentiment analysis and classification.
  • Real-world examples of DeepSeek in action.

Ethical AI and Responsible Use

  • Understanding bias in AI models.
  • Ethical considerations in AI development.
  • Best practices for responsible AI use.

Hands-on Exercises

  • Exploring DeepSeek’s interface and tools.
  • Building a simple AI model using DeepSeek.
  • Analyzing and interpreting model outputs.

Future Trends

  • Emerging trends in AI.
  • DeepSeek’s role in the future of AI.
  • Opportunities for further learning and specialization.

Summary and Next Steps

Requirements

  • Familiarity with basic computer operations.
  • No prior experience with AI is required.

Target Audience

  • IT professionals interested in learning about AI.
  • Business professionals exploring AI applications for their organizations.
 14 Hours

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