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Course Outline

Introduction to Artificial Intelligence

  • Defining AI: Historical context and developmental trajectory
  • Overview of major providers, including OpenAI ChatGPT, Google Gemini, and Microsoft Copilot

DeepSeek Overview

  • Definition of DeepSeek: Core functionalities and capabilities
  • Structural architecture and component analysis
  • Deployment of DeepSeek across diverse sectors

Foundational AI Concepts

  • Data preprocessing and feature engineering methodologies
  • Model training protocols and performance evaluation

DeepSeek Applications

  • Capabilities in text generation and summarization
  • Sentiment analysis and classification tasks
  • Case studies demonstrating effective application of DeepSeek for government and public sector use cases

Ethical AI and Responsible Stewardship

  • Identification and mitigation of bias within AI systems
  • Regulatory and ethical standards in AI development
  • Guidelines for the responsible deployment of AI technologies

Practical Implementation

  • Navigating DeepSeek’s interface and operational tools
  • Development of a foundational AI model using DeepSeek resources
  • Analytical procedures for interpreting model outputs

Future Directions

  • Emerging developments in artificial intelligence
  • The evolving role of DeepSeek within the AI landscape
  • Pathways for advanced learning and professional specialization

Summary and Next Steps

Requirements

  • Familiarity with fundamental computing processes
  • No prior artificial intelligence expertise required

Target Audience

  • Information technology personnel seeking insights into AI technologies for government
  • Business practitioners evaluating practical AI implementations
 14 Hours

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