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Duration 35 hours
Course Outline
Introduction
- Defining the scope and core definition of Artificial Intelligence (AI).
- Exploring historical context and significant milestones.
Ethical Considerations and Future Trends in AI
- Navigating ethical challenges in the development and deployment of AI.
- Addressing bias and ensuring fairness in AI algorithms.
- Understanding Explainable AI and system interpretability.
- Looking ahead to future trends and breakthroughs in AI research.
Overview of AI Applications
- Utilizing AI techniques for complex problem-solving.
- Examining machine learning and its diverse applications.
- Foundational concepts of artificial neural networks.
- Introduction to deep learning.
- Natural Language Processing (NLP) fundamentals.
- Principles of computer vision.
- The role of AI in robotics.
- Applications of AI in the healthcare sector.
- The impact of AI in financial services.
- Assessing the effective utilization and broader impact of AI.
Privacy Protection and Compliant AI Usage
- The critical role of data privacy and protection in AI systems.
- Navigating laws and regulations concerning data privacy.
- The importance of transparency and explainability in AI frameworks.
- Managing consent and upholding user rights.
- Identifying security risks and vulnerabilities within AI applications.
- An overview of regulatory frameworks that govern AI.
- Understanding compliance mandates for AI in specific industries.
- How AI regulations influence privacy protection and compliant practices.
- Best practices for maintaining compliant AI usage and robust privacy safeguards.
Summary and Next Steps
Requirements
- No prior experience or prerequisites are necessary.
Target Audience
- Software Developers.
- Any professional seeking to deepen their understanding of AI.
