This technical course equips engineers, analysts, and developers with an in-depth understanding of AI systems and their potential vulnerabilities. Participants will explore technical topics like transformers, diffusion models, RAG, reasoning models, and agentic workflows. The course includes practical sessions on prompt engineering, AI coding tools, and design considerations for building AI-augmented products with a focus on secure, ethical implementation.

Who This Course Is For

This course is suitable for a wide range of professionals interested in AI usage and online risks, including:

• Software engineers
• Data scientists
• AI developers/engineers
• Other technical professionals working on AI security and mitigation solutions

What You Will Learn

• Understand the core technologies behind GenAI, including Transformer architecture and diffusion models.
• Master advanced prompt engineering techniques for structured and reliable outputs.
• Implement and understand Retrieval Augmented Generation (RAG) for enterprise applications.
• Explore the capabilities of reasoning models and design agentic AI workflows.
• Apply best practices for designing and building secure, ethical AI-augmented products.
• Gain hands-on experience with modern AI-powered coding tools.

Expected Outcomes

At the conclusion of the training, participants will be able to:

• Explain the technical mechanisms of transformer-based models and diffusion models.