Generative AI: Tools, Techniques, and Applications

Übersicht

Explore generative AI tools like ChatGPT and Microsoft Copilot, mastering prompt engineering, content creation, data analysis, and AI-driven business transformation across diverse real-world applications.

Lehrplan

• Course Introduction
Overview of Generative AI
Course Objectives and Learning Outcomes
• Introduction to Generative AI Tools
Overview of ChatGPT
Exploration of Microsoft Copilot
Comparison of Popular Generative AI Tools
• Foundation of Generative AI
Understanding Machine Learning and Neural Networks
Introduction to Natural Language Processing (NLP)
Key Algorithms and Architectures in Generative AI
• Mastering Prompt Engineering
Principles of Effective Prompting
Techniques for Crafting Effective Prompts
Prompt Engineering Best Practices
• Content Creation with Generative AI
Text Generation and Creative Writing
Visual Content Creation
Music and Audio Generation
• Data Analysis and Insights
Utilizing AI for Data Interpretation
Generative AI in Data Visualization
Case Studies on AI-Driven Data Analysis
• AI-Driven Business Transformation
Transforming Business Operations with AI
Enhancing Decision-Making Processes
AI in Product and Service Innovation
• Ethical and Responsible AI Use
Understanding Bias and Fairness in AI
Privacy and Security Considerations
Ethical Paradigms and Frameworks
• Real-World Applications of Generative AI
Healthcare Innovations
AI in Finance and Banking
Generative AI in Creative Industries
• Project and Case Studies
Hands-on Project with Generative AI Tools
Analyzing Real-World Use Cases
Presentations and Peer Reviews
• Future Trends in Generative AI
Emerging Technologies and Innovations
Predictions for AI Evolution
Preparing for the Future of AI
• Course Review and Wrap-up
Summary of Key Learnings
Course Feedback and Evaluation
Next Steps and Further Learning Opportunities

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Fachgebiete

Artificial Intelligence