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CertNexus Certified Artificial Intelligence Practitioner
Coursera
Professional Certificate
Unknown

CertNexus Certified Artificial Intelligence Practitioner

CertNexus

Prepare for an industry certification demonstrating proficiency in AI and machine learning concepts applied to innovative business solutions using open-source tools.

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About this Course

The Certified Artificial Intelligence Practitioner™ (CAIP) specialization prepares learners to earn an industry validated certification which will differentiate themselves from other job candidates and demonstrate proficiency in the concepts of Artificial intelligence (AI) and machine learning (ML) found in CAIP. AI and ML have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This specialization shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. The specialization is designed for data science practitioners entering the field of artificial intelligence and will prepare learners for the CAIP certification exam. Your journey to CAIP Certification 1) Complete the Coursera Certified Artificial Intelligence Practitioner Professional Certificate 2) Review the current version of the CAIP Exam Blueprint, available from CertNexus 3) Purchase your CAIP Exam Voucher at the CertNexus store 4) Register for your CAIP Exam

What You'll Learn

  • Understand business problems solvable by AI/ML and relevant technologies
  • Learn key workflow tasks including data analysis, model training, and automation
  • Use ML algorithms to solve common regression, classification, and clustering problems
  • Explore advanced algorithms in deep learning and build multiple models within workflows

Prerequisites

  • Basic familiarity with the topic and terminology
  • Readiness to practice through applied exercises or case studies

Instructors

M

Megan Smith Branch

Chief Product Officer at CertNexus

S

Stacey McBrine

CDSP, CAIP, CIoTP, CIoTSP, CFR, CISSP, SSCP, CASP, CFR, CEI, CEH, ECSA, CHFI, CCNA, CCSI, CTT+, LINUX+, PENTEST+, SECURITY+, A+, SCNP, ITIL Foundations, ITIL SO, ITIL OSA, MCSA, MCITP

A

Anastas Stoyanovsky

Watson Senior Software Engineer, Software Architect at IBM

Topics

Machine Learning
Data Science
Algorithms
Computer Science
AI Workflows
Business Ethics
Classification Algorithms
Convolutional Neural Networks
Data Analysis
Data Collection

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تعلم الآلة
علوم البيانات
الخوارزميات
علوم الحاسوب
تدفقات عمل الذكاء الاصطناعي
أخلاقيات الأعمال
خوارزميات التصنيف
الشبكات العصبية الالتفافية
Data Analysis
Data Collection

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