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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
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €11400 online delivery, based on a group of 2 delegates, €3600 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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