Curriculum
- 3 Sections
- 19 Lessons
- 8 Hours
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- Part 1: Foundations of AI and Its Importance in Business (4 Hours)This module offers a foundational understanding of AI, its evolution, and its role in various industries. Participants will explore key AI concepts, its impact on business and technology, and the synergy between humans and AI. The session also includes a hands-on activity to apply AI tools in a practical context.7
- 1.1Introduction to AI and its relevance today. AI’s evolution in the context of business world.
- 1.2Defining AI: Understanding its essence and overarching implications.
- 1.3History of AI: Tracing from early ideas to present breakthroughs.
- 1.4AI Ecosystem: Core components that drive AI innovations.
- 1.5AI in the Digital Ecosystem: Understanding AI’s role in the industrial revolutions and technology trajectory.
- 1.6Synergy of Humans and AI: How collaboration elevates possibilities.
- 1.7Hands-on activity: Creating a presentation using AI tools (e.g., ChatGPT4, Claude).
- Part 2: Operational Efficiency Through AI (80 Minutes)This module explores AI's role in automating repetitive tasks and enhancing efficiency across various industries. Participants will gain insights into AI applications in finance, marketing, IT, and operations, along with an introduction to automation tools like RPA and virtual assistants. A hands-on activity will guide them in identifying AI opportunities within a business context.4
- Part 3: Future Perspectives, Business Integration, and Assignments (160 Minutes)This module explores the future of work with AI, its impact on employment, and key ethical considerations such as privacy, bias, and governance. Participants will gain insights into AI economics, industry opportunities, and strategic integration. Practical case studies will provide real-world examples of AI adoption and its evolving role in business and society.8
- 3.1Future of Work with AI: AI’s influence on employment dynamics.
- 3.2Ethical Dimensions of AI: Addressing challenges like privacy, bias, and ethics.
- 3.3Navigating AI Governance: Balancing innovation with regulations and societal implications.
- 3.4AI’s Evolution: Potential pathways and upcoming trends.
- 3.5Understanding AI Economics: Investment, returns, and strategic alignment.
- 3.6Opportunities and Case Studies: Practical insights from varied industries.
- 3.7Strategies for AI Integration: Deployment, management, and successful adoption.
- 3.8Case study: Designing an AI roadmap for a business.
Defining AI: Understanding its essence and overarching implications.
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