Overview
Test your knowledge of generative AI fundamentals, including large language models, prompt engineering, ethical considerations, and applications across industries in this quick assessment.
Syllabus
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- Introduction to Generative AI
-- Overview of Generative AI
-- Applications and Use Cases
-- Ethical Considerations
- Generative Models
-- Understanding Generative vs. Discriminative Models
-- Types of Generative Models
--- Variational Autoencoders (VAEs)
--- Generative Adversarial Networks (GANs)
--- Transformer-based Models
- Generative AI on AWS
-- AWS Machine Learning Services Overview
-- Using AWS Deep Learning AMIs
-- Implementing Generative Models on AWS
- Variational Autoencoders (VAEs)
-- VAE Fundamentals
-- Training and Optimization
-- Practical Applications of VAEs
- Generative Adversarial Networks (GANs)
-- GAN Architecture
-- Training Techniques and Challenges
-- Real-world Applications
- Transformer-based Models
-- Introduction to Transformers
-- Key Components: Encoders and Decoders
-- Applying Transformers for Generation Tasks
- Ethical and Responsible AI
-- Bias and Fairness in AI Models
-- Privacy and Security Considerations
-- Best Practices for Responsible AI Development
- Integrated Quiz and Assessment
-- Knowledge Check on Generative AI Concepts
-- Practical Scenario-based Assessments
-- Final Project: Building a Simple Generative Model
- Course Summary and Resources
-- Recap of Key Learnings
-- Recommended Reading and Further Learning Materials
-- AWS Documentation and Tools for Generative AI
Taught by
Tags
On-Demand
