Executive Development Programme in AI Metrics: High-Performance Techniques
-- ViewingNowThe Executive Development Programme in AI Metrics: High-Performance Techniques certificate course is a comprehensive program designed to empower professionals with the essential skills needed to thrive in the rapidly evolving AI landscape. This course highlights the importance of AI metrics in driving high-performance techniques and decision-making for businesses.
3.014+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
AboutThisCourse
HundredPercentOnline
LearnFromAnywhere
ShareableCertificate
AddToLinkedIn
TwoMonthsToComplete
AtTwoThreeHoursAWeek
StartAnytime
NoWaitingPeriod
CourseDetails
โข Introduction to AI Metrics: Understanding the basics of AI metrics, their importance, and how they are used in the industry.
โข Data Preparation for AI Metrics: Techniques for data cleaning, preprocessing, and feature engineering to ensure accurate AI metric calculations.
โข Performance Metrics in AI: Exploring various performance metrics in AI, including accuracy, precision, recall, F1 score, ROC curve, AUC, and log loss.
โข Regression Metrics in AI: Diving into regression-specific AI metrics, such as R-squared, mean squared error, mean absolute error, and adjusted R-squared.
โข Classification Metrics in AI: Learning about classification-specific AI metrics, such as confusion matrix, sensitivity, specificity, positive predictive value, and negative predictive value.
โข Evaluating Model Performance with AI Metrics: Techniques for evaluating AI model performance using various metrics and selecting the best model based on the evaluation.
โข Interpreting AI Metrics for Business Decisions: Understanding how to interpret AI metrics in a business context and make informed decisions based on the results.
โข Best Practices in AI Metrics: Learning about industry best practices in AI metrics, including data privacy, security, and ethical considerations.
โข Advanced AI Metrics Techniques: Exploring advanced AI metric techniques, such as explainability, interpretability, and uncertainty quantification.
CareerPath
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
NoPriorQualifications
CourseStatus
CourseProvidesPractical
- NotAccreditedRecognized
- NotRegulatedAuthorized
- ComplementaryFormalQualifications
ReceiveCertificateCompletion
WhyPeopleChooseUs
LoadingReviews
FrequentlyAskedQuestions
CourseFee
- ThreeFourHoursPerWeek
- EarlyCertificateDelivery
- OpenEnrollmentStartAnytime
- TwoThreeHoursPerWeek
- RegularCertificateDelivery
- OpenEnrollmentStartAnytime
- FullCourseAccess
- DigitalCertificate
- CourseMaterials
GetCourseInformation
EarnCareerCertificate