What You Need to Know Before
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Starts 8 June 2025 16:23
Ends 8 June 2025
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48 minutes
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Overview
Explore insights and practical tips for developing GenAI-powered applications, drawing from real-world experiences and best practices in the field of artificial intelligence.
Syllabus
- Introduction to GenAI Applications
- Understanding GenAI Algorithms
- Designing a GenAI-powered App
- Development Best Practices
- Engineering and Infrastructure
- Real-world Challenges and Solutions
- Case Studies
- Future Trends and Opportunities
- Wrap-up and Course Review
Overview of Generative AI
Examples of GenAI-powered apps
Key differences from traditional AI applications
Basics of Generative Adversarial Networks (GANs)
Introduction to Transformer models (e.g., GPT, BERT)
Selecting the right model for your application
Defining the problem and use case
User experience and interface considerations
Ethical considerations in GenAI
Data collection and preprocessing
Training and fine-tuning models
Evaluating GenAI models
Choosing the right cloud and computational resources
Optimizing for scalability and performance
Managing deployments and updates
Handling bias and ensuring fairness
Addressing security and privacy concerns
Mitigating hallucinations and error correction
Detailed analysis of successful GenAI apps
Lessons learned from failed projects
Emerging technologies in GenAI
Potential applications and new use cases
Summary of key insights
Discussion of takeaways and implementation strategies
Subjects
Conference Talks
