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CertNexus AIP-210 Exam Topics

CertNexus AIP-210 Exam Overview :

Exam Name: Certified Artificial Intelligence Practitioner Exam
Exam Code: AIP-210
Certifications: CertNexus Certified AI Practitioner Certification
Actual Exam Duration: 120 minutes
Expected no. of Questions in Actual Exam: 80
See Expected Questions: CertNexus AIP-210 Expected Questions in Actual Exam

CertNexus AIP-210 Exam Objectives :

Section Weight Objectives
Domain 1.0 Understanding the Artificial Intelligence Problem 26% Objective 1.1 Describe how artificial intelligence and machine learning are used to solve business (including commercial, government, public interest, and research) problems
Objective 1.2 Analyze the use cases of ML algorithms to rank them by their success probability
Objective 1.3 Research Learning Systems [Identify business case for image recognition; NLP; Speech
recognition; Predictive & recommendation systems; Discovery & diagnostic systems; Robotics and autonomous systems]
Objective 1.4 Analyze machine learning system use cases
Objective 1.5 Communicate with stakeholders
Objective 1.6 Identify potential ethical concerns
Domain 2.0 Engineering Features for Machine Learning 20% Objective 2.1 Recognize relative impact of data quality and size to algorithms
Objective 2.2 Explain data collection/transformation process in ML workflow (transformations
include standardization; normalization; log, square-root, and logit transformations)
Objective 2.3 Work with textual, numerical, audio, or video data formats
Objective 2.4 Transform numerical and categorical data
Objective 2.5 Address business risks, ethical concerns, and related concepts in data exploration/feature engineering
Domain 3.0 Training and Tuning ML Systems and Models 24% Objective 3.1 Design machine and deep learning models [Differentiate types of ML algorithms;
differentiate types of DL algorithms; design for pattern recognition in predictive models]
Objective 3.2 Optimize the algorithm (e.g., structure, run time, tuning hyperparameters)
Objective 3.3 Train, validate, and test data subsets
Objective 3.4 Evaluate the model
Objective 3.5 Address business risks, ethical concerns, and related concepts in training and tuning
Domain 4.0 Operationalizing ML Models 30% Objective 4.1 Deploy a model
Objective 4.2 Secure a pipeline (includes maintenance)
Objective 4.3 Maintain the model postproduction
Objective 4.4 Address business risks, ethical concerns, and related concepts in operationalizing the model
Official Information https://certnexus.com/certified-artificial-intelligence-practitioner-caip/

Updates in the CertNexus AIP-210 Exam Topics:

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