Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction
- Defining the scope of Artificial Intelligence (AI)
- Key historical milestones
Ethical Considerations and Future Trends in AI
- Ethical challenges encountered during AI development and deployment
- Addressing bias and ensuring fairness in AI algorithms
- Explainable AI and interpretability
- Emerging trends and advancements in AI research
Overview of AI Applications
- Solving problems through AI techniques
- Machine learning and its applications
- Fundamentals of artificial neural networks
- Deep learning concepts
- Natural Language Processing (NLP)
- Computer vision technologies
- Robotics integration
- AI applications in healthcare
- AI applications in finance
- The impact and utility of effective AI usage
Privacy Protection and Compliant Use of AI
- The importance of data privacy and protection in AI solutions
- Relevant laws and regulations concerning data privacy
- The necessity of transparency and explainability in AI systems
- User rights and consent
- Security risks and vulnerabilities associated with AI applications
- Overview of regulatory frameworks governing AI
- Compliance requirements for AI systems across specific industries
- How AI regulations influence privacy protection and compliant usage
- Best practices for ensuring compliant AI use and safeguarding privacy
Summary and Next Steps
Requirements
- No prior prerequisites are required.
Target Audience
- Software Developers.
- Any professional with an interest in Artificial Intelligence.
35 Hours
Testimonials (1)
Some windows have been opened.
Diego Sapigna
Course - Introduction to Artificial Intelligence (AI)
Machine Translated
