Building Robust AI Products

Course Overview

• Course Title: Building Robust AI Products
• Instructor: Dr. Amar Massoud
• Target Audience: AI product managers, tech leads, data scientists, ML engineers, security professionals, business and compliance leaders
• Prerequisites: Basic understanding of AI concepts and machine learning fundamentals, interest in AI product development, governance, or risk management

Curriculum Highlights

• Key Topics Covered:
  • Evaluating data quality, diversity, and bias in AI training
  • Identifying and mitigating risks in AI supply chains
  • Building a roadmap for secure, compliant AI deployment
  • AI governance principles
  • Secure deployment practices
  • Continuous monitoring strategies
  • Creating a Resilient AI Product Roadmap
• Key Skills Learned:
  • Designing resilient AI systems
  • Avoiding brittle models through data and architecture choices
  • Managing risks from AI supply chains
  • Testing AI across multiple use cases
  • Defending against prompt injection and adversarial attacks
  • Aligning with GDPR, ISO 27701, and NIST

Course Format

• Duration: 1.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • Assignments
  • Access on mobile and TV
  • Certificate of completion