Understanding AI Implementation
Overcoming Challenges for Cities and Businesses
Artificial Intelligence is transforming cities and businesses, but success depends on more than just technology.
From ethical dilemmas to integration hurdles, organizations face real challenges in turning AI potential into practical results. This course cuts through the hype, equipping you with the knowledge and strategies to navigate AI implementation with confidence.
Whether you’re a business leader, public sector innovator, or curious professional, you’ll leave with actionable insights to drive responsible, effective AI adoption in your organization.
Course Provider - Smart Cities Academy
Course Provider - Smart Cities Academy
Qualification - Smart Cities Academy Micro-credential
Qualification - Smart Cities Academy Micro-credential
Duration - 3 hours
Duration - 3 hours
Language - English (can be customized for Face-to-Face)
Language - English (can be customized for Face-to-Face)
Target Audience - Anyone seeking a structured understanding of Responsible AI and its strategic, ethical, and governance implications.
Target Audience - Anyone seeking a structured understanding of Responsible AI and its strategic, ethical, and governance implications.
Cost - USD245
Cost - USD245
Prerequisites - There are no prerequisites for this course
Prerequisites - There are no prerequisites for this course
Outline
| MODULE 1 - Foundations of Artificial Intelligence MODULE 2 - AI Ethics and Responsible AI MODULE 3 - Introduction to AI Governance Frameworks MODULE 4 - Developing an AI Strategy MODULE 5 - Building a Risk-Aware AI Culture, and Assessment |
Outline
| MODULE 1 - Foundations of Artificial Intelligence MODULE 2 - AI Ethics and Responsible AI MODULE 3 - Introduction to AI Governance Frameworks MODULE 4 - Developing an AI Strategy MODULE 5 - Building a Risk-Aware AI Culture, and Assessment |
Learning Outcomes
- Explain key AI concepts, including LLMs and computer vision systems.
- Differentiate between types of AI and common misconceptions.
- Describe core AI ethical principles and why they matter in real-world deployment.
- Identify major AI governance frameworks at global, regional, and national levels.
- Understand AI risk categories across the lifecycle.
Learning Outcomes
- Explain key AI concepts, including LLMs and computer vision systems.
- Differentiate between types of AI and common misconceptions.
- Describe core AI ethical principles and why they matter in real-world deployment.
- Identify major AI governance frameworks at global, regional, and national levels.
- Understand AI risk categories across the lifecycle.
