Course Outline

Introduction

  • Definition and scope of Artificial Intelligence (AI)
  • Historical and key milestones

Ethical Considerations and Future Trends in AI

  • Ethical challenges in AI development and deployment
  • Bias and fairness in AI algorithms
  • Explainable AI and interpretability
  • Future trends and advancements in AI research

Overview of the Uses of AI

  • Problem-solving using AI techniques
  • Machine learning and its applications
  • Basics of artificial neural networks
  • Deep learning
  • Natural Language Processing (NLP)
  • Computer vision
  • Robotics
  • AI in healthcare
  • AI in finance
  • Effective uses and impact of AI

Privacy Protection and Compliant use of AI

  • Importance of data privacy and protection in AI applications
  • Laws and regulations related to data privacy
  • Importance of transparency and explainability in AI systems
  • Consent and user rights
  • Security risks and vulnerabilities in AI applications
  • Overview of regulatory frameworks governing AI
  • Compliance requirements for AI systems in specific industries
  • Impact of AI regulations on privacy protection and compliant use
  • Best practices for ensuring compliant use of AI and privacy protection

Summary and next steps

Requirements

  • No prerequisites required

Audience

  • Developers
  • Any professional interested in AI
 35 Hours

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