Unpacking AI – Practical Foundations for Non-Tech Students

Übersicht

This course gives you an easy and practical introduction to Artificial Intelligence (AI). You will learn what AI is, how it works, and what terms like machine learning and deep learning mean.

You will learn key AI tools that can help you work more efficiently. The course also explains the risks of AI and who controls it.

How data affects it, and how to use AI safely. By the end of the course, you will be able to think carefully about AI tools and make responsible choices while using them.

This course has been developed as a joint initiative of the German Development Cooperation (GIZ) in partnership with IGNOU, on behalf of the German Federal Ministry for Economic Cooperation and Development (BMZ) and the Ministry of Education, Government of India.

Lehrplan

• Introduction to Artificial Intelligence (AI)
What is AI?
History and evolution of AI
AI vs. human intelligence
• Core Concepts of AI
Key terms: Machine Learning, Deep Learning
Types of AI: Narrow AI, General AI, AI systems
• How AI Works
Basics of algorithms
Neural networks: an overview
Data's role in AI
• Practical AI Tools for Everyday Use
AI in personal productivity tools
AI for data analysis and visualization
AI in communication platforms
• Understanding and Managing AI Risks
Ethical considerations in AI
Bias and fairness in AI systems
Privacy and data security issues
• Governance and Control of AI
Key stakeholders in AI development
Regulations and guidelines
Global perspectives on AI governance
• Using AI Responsibly
Making informed decisions with AI tools
Strategies for safe AI usage
AI in varied industries and its impact
• Case Studies and Real-world Applications
AI in healthcare, education, and finance
AI for development initiatives
Success stories and cautionary tales
• Reflective Practice and Future Outlook
Reflecting on personal and societal impact
Future trends in AI
Lifelong learning paths in AI
• Conclusion
Recap of key learnings
Tools and resources for further study
Final assessment and certification details

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Unterrichtet von

Supriya Bhuwalka

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Fachgebiete

Artificial Intelligence