Unit 1: Defining Generative AI
Unit 2: Applications and History
Generative AI Fundamentals for Cybersecurity, DevOps, Content Creation, and AI Model Development
Master the fundamentals of Generative AI and its applications across cybersecurity, DevOps, content creation, and AI model development to unlock new possibilities and drive innovation.
Unit 1: Understanding VAE Architecture
Unit 2: VAEs in Action
Unit 1: GAN Architecture and Types
Unit 2: GAN Implementation and Challenges
Unit 1: Understanding Transformer Architecture
Unit 2: Transformers in Action
Unit 1: Understanding Diffusion Models
Unit 2: Diffusion Models in Practice
Unit 1: Synthetic Data & Adversarial Examples
Unit 2: Vulnerability Discovery & AI Tools
Unit 1: Automating Infrastructure with GenAI
Unit 2: GenAI for Code and System Health
Unit 1: Generative AI for Text and Visuals
Unit 2: Generative AI for Audio, Video, and Creative Assets
Unit 1: Data Preparation and Setup
Unit 2: Fine-tuning and Evaluation
Unit 1: Understanding Ethical Challenges
Unit 2: Mitigation and Responsible Practices
Unit 1: Understanding and Identifying Bias
Unit 2: Mitigation and Fairness
Unit 1: Privacy Risks and Mitigation
Unit 2: Security and Compliance
Unit 1: Guidelines and Ethical Frameworks
Unit 2: Transparency, Accountability, and Stakeholder Engagement
Unit 1: Advanced Generative AI Techniques
Unit 2: Future of Generative AI