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Курс от Johns Hopkins University
courseraIT и технологии
Introduction to AI: Key Concepts and Applications
Курс от Johns Hopkins UniversityО курсе
The course "Core Concepts in AI" provides a comprehensive foundation in artificial intelligence (AI) and machine learning (ML), equipping learners with the essential tools to understand, evaluate, and implement AI systems effectively. From decoding key terminology and frameworks like R.O.A.D. (Requirements, Operationalize Data, Analytic Method, Deployment) to exploring algorithm tradeoffs and data quality, this course offers practical insights that bridge technical concepts with strategic decision-making. What sets this course apart is its focus on balancing technical depth with accessibility, making it ideal for leaders, managers, and professionals tasked with driving AI initiatives. Learners will delve into performance metrics, inter-annotator agreement, and tradeoffs in resources, gaining a nuanced understanding of AI's strengths and limitations. Whether you're a newcomer or looking to deepen your understanding, this course empowers you to make informed AI decisions, optimize systems, and address challenges in data quality and algorithm selection. By the end, you'll have the confidence to navigate AI projects and align them with organizational goals, positioning yourself as a strategic leader in AI-driven innovation.
Навыки, которые вы освоите
Data QualityPerformance MetricAlgorithmsArtificial IntelligenceMachine LearningMachine Learning AlgorithmsModel DeploymentResponsible AIAI WorkflowsClassification AlgorithmsData ValidationPerformance MeasurementAI literacyArtificial Intelligence and Machine Learning (AI/ML)Data EthicsModel EvaluationMachine Learning MethodsStrategic LeadershipDecision IntelligenceAI Product Strategy
Программа курса
6 модулей · 63 учебных материалов
01Course Introduction2 материалов
02Introduction to Artificial Intelligence12 материалов
Учитесь у экспертов
Ian McCulloh
Преподаватель курса