System-Level Problem Solving and Decomposition for AI Solutions Architects

Master the art of deconstructing complex AI/ML business problems into manageable components and architecting scalable, maintainable, and resilient end-to-end AI solutions.

Deconstructing AI Problems and Identifying Core Components

Unit 1: Understanding AI Problems and Their Scope

Unit 2: Breaking Down AI Problems

Unit 3: Core Components of AI Systems

Architectural Patterns, Trade-offs, and Documentation for AI Systems

Unit 1: Foundations of AI System Architecture

Unit 2: Decomposition Patterns for AI

Unit 3: Evaluating Architectural Choices

Unit 4: Documenting AI Architectures