Introduction to Artificial Intelligence (AI) Training Course
Artificial Intelligence (AI) is a branch of computer science that focuses on the development of intelligent machines capable of performing tasks that typically require human intelligence and it aims to simulate human-like cognitive processes.
This instructor-led, live training (online or onsite) is aimed at professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly.
By the end of this training, participants will be able to:
- Learn the concept of Artificial Intelligence (AI).
- Understand the limits and dangers of AI and use it responsibly.
- Know how to effectively use AI in real-world scenarios.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
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