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Course Outline
Introduction
- Definition and scope of Artificial Intelligence (AI).
- Historical context and key milestones.
Ethical Considerations and Future Trends in AI
- Ethical challenges in the development and deployment of AI.
- Addressing bias and ensuring fairness in AI algorithms.
- Explainable AI and system interpretability.
- Emerging trends and advancements in AI research.
Overview of AI Applications
- Problem-solving techniques using AI.
- Machine learning and its practical applications.
- Fundamentals of artificial neural networks.
- Deep learning principles.
- Natural Language Processing (NLP).
- Computer vision technologies.
- Robotics applications.
- AI in the healthcare sector.
- AI in financial services.
- Effective implementations and the broader impact of AI.
Privacy Protection and Compliant Use of AI
- The critical importance of data privacy and protection in AI applications.
- Relevant laws and regulations regarding data privacy.
- The significance of transparency and explainability in AI systems.
- User consent and rights.
- Security risks and vulnerabilities within AI applications.
- An overview of regulatory frameworks governing AI.
- Compliance requirements for AI systems in specific industries.
- The impact of AI regulations on privacy protection and compliant usage.
- Best practices for ensuring compliant use of AI and safeguarding privacy.
Summary and Next Steps
Requirements
- No prerequisites are required.
Target Audience
- Software Developers.
- Any professional with an interest in AI.
35 Hours
