Online Course – CertNexus Certified Professional Certificate in Artificial Intelligence Specialist

Learn to adopt artificial intelligence techniques to solve business problems. Master strategies for adopting artificial intelligence in your organization.

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קורס אונליין - תעודה מקצועית מוסמכת בתחום מומחה בינה מלאכותית של CertNexus

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Training in Artificial Intelligence and Machine Learning
  • Applying different approaches and algorithms to solve business problems
  • Developing solutions using AI and ML
  • Use of open and commercial tools for development, testing, and launch
  • Protecting user privacy
  • Creating an AI project outline
  • Monitoring the machine learning process for demand forecasting
  • Building a regression, classification, or clustering model
  • Building a Convolutional Neural Network (CNN)

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Artificial Intelligence Engineer
  • Algorithm developer
  • Machine Learning Expert
  • Artificial Intelligence Project Manager
  • AI solutions developer
  • Technology consultant in the field of artificial intelligence
  • Data scientist
  • Software developer with specialization in AI
  • Business Analyst with a specialization in AI

Professional Certificate – Series of 5 Courses

The Certified Artificial Intelligence Professional™ (CAIP) specialization prepares learners to receive an industry-recognized credential that will set them apart from other candidates and demonstrate their knowledge of the artificial intelligence (AI) and machine learning (ML) terms featured in the CAIP.

AI and ML have become an essential part of many organizations’ toolkits. When used effectively, these tools provide actionable insights that drive important decisions and enable organizations to create exciting new products and services. This specialization shows you how to apply different approaches and algorithms to solve business problems with AI and ML, follow a systematic process to develop the right solutions, use open and commercially available tools to develop, test, and launch these solutions, and ensure that they protect user privacy.

The specialization is designed for data professionals entering the field of artificial intelligence and prepares learners for the CAIP certification exam.

Your path to obtaining a CAIP certificate:

  • 1) Complete the Coursera Certified Professional Certificate in Artificial Intelligence.
  • 2) Review the current version of the CAIP test plan, available from CertNexus .
  • 3) Purchase the CAIP test voucher from the CertNexus store.
  • 4) Register for your CAIP exam.

Practical Learning Project:

At the end of each course, learners will have the opportunity to complete a project that can be added to their portfolio. Projects include:

  • Creating an AI project outline.
  • Monitoring the machine learning process for demand forecasting.
  • Building a regression, classification, or clustering model.
  • Building a convolutional neural network (CNN).

Details of the courses that make up the specialization

Solving business problems with artificial intelligence and machine learning

Course 1 • 11 hours • 4.2

What you will learn:

  • Identify appropriate applications of artificial intelligence and machine learning in various business situations.
  • Formulate a machine learning approach to solve specific business problems.
  • Choose appropriate tools for solving machine learning problems.
  • Protect data privacy and promote ethical practices in the development and dissemination of artificial intelligence and machine learning projects.

Skills you will acquire:

  • Linear regression
  • Machine Learning (ML) Algorithms
  • Machine learning
  • classification
  • Clusters

Course 2 • 19 hours • 4.7

What you will learn:

  • Collect and prepare a dataset for use in training and testing a machine learning model.
  • Analyze a data set to derive insights.
  • Establish and prepare a machine learning model as required to meet business requirements.
  • Communicate the findings of a machine learning project to the organization.

Skills you will acquire:

  • Artificial neural network
  • Machine Learning (ML) Algorithms
  • Deep learning
  • Support Vector Machine (SVM)
  • Decision tree

Course 3 • 20 hours • 4.3

What you will learn:

  • Train and evaluate linear regression models.
  • Train binary and multiple classifier models.
  • Evaluate and improve the performance of the classifier models.
  • Train and evaluate clustering models to find useful patterns in unsupervised data.

Skills you will acquire:

  • Ethics of Artificial Intelligence
  • Business solutions
  • Artificial Intelligence (AI)
  • data structure
  • Machine learning

Course 4 • 21 hours • 4.9

What you will learn:

  • Train and evaluate decision trees and random forests for regression and classification.
  • Train and evaluate support vector machines (SVM) for regression and classification.
  • Train and evaluate neural networks to examine and analyze data.
  • Train and evaluate convolutional neural networks and recurrent neural networks for computer vision and natural language processing tasks.

Skills you will acquire:

  • schedule
  • Exam preparation
  • Online monitoring
  • PearsonVUE
  • Certification

Course 5 • 2 hours • 4.8

What you will learn:

  • Distinguish between authority and other authentication techniques.
  • Plan a test in PearsonVUE and prepare for the exam at a PearsonVUE test center or online using Pearson OnVUE.
  • Discover tools to prepare for certification exams.
  • Publish and share your success after passing the CertNexus certification exam.

Skills you will acquire:

  • model
  • Process management
  • Artificial Intelligence (AI)
  • Data Analytics
  • Machine learning

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