Artificial Intelligence Fundamentals and Workload Types
Description
Understanding basic AI concepts, different types of AI workloads, and their real-world applications across various industries and use cases
Learning Objectives
Learners will identify and differentiate between common AI workloads including computer vision, natural language processing, document processing, and generative AI workloads. They will understand the characteristics and applications of each workload type and be able to recognize appropriate use cases for different AI technologies in business contexts.
Topics (8)
Understanding image analysis, object detection, facial recognition, and other computer vision applications
Exploring text analysis, sentiment analysis, language translation, and conversational AI capabilities
Learning about automated document processing, form recognition, and data extraction from documents
Exploring AI applications in healthcare, finance, retail, manufacturing, and other industries
Learning about AI system design patterns, data pipelines, and integration approaches
Comprehensive introduction to AI including its definition, historical development, and fundamental concepts
Understanding text generation, image creation, code generation, and other generative AI capabilities
Understanding metrics, benchmarks, and evaluation techniques for different AI workloads