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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