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Duration 35 hours
Course Outline
Introduction
- Defining the scope and definition of Artificial Intelligence (AI)
- Historical background and significant milestones
Ethical Considerations and Emerging Trends in AI
- Ethical dilemmas in AI development and implementation
- Addressing bias and ensuring fairness in AI algorithms
- Explainable AI and the principle of interpretability
- Upcoming trends and advancements in AI research
Survey of AI Applications
- Leveraging AI techniques for problem-solving
- Machine learning and its diverse applications
- Fundamentals of artificial neural networks
- Deep learning principles
- Natural Language Processing (NLP)
- Computer vision technologies
- Robotics and automated systems
- The role of AI in the healthcare sector
- Applications of AI in the financial industry
- Strategic uses and the broader impact of AI
Privacy Safeguards and Regulatory Compliance in AI
- The critical importance of data privacy and security in AI applications
- Legal frameworks and regulations concerning data privacy
- Prioritizing transparency and explainability within AI systems
- Managing user consent and safeguarding user rights
- Identifying security risks and vulnerabilities in AI applications
- An overview of regulatory frameworks governing AI use
- Compliance mandates for AI systems across specific industries
- The influence of AI regulations on privacy protection and compliant operations
- Best practices for maintaining compliance and protecting privacy in AI deployment
Conclusion and Path Forward
Requirements
- No prior prerequisites are necessary
Target Audience
- Software Developers
- Any professional with an interest in AI
