CertNexus
CertNexus Certified Artificial Intelligence Practitioner Professional Certificate
CertNexus

CertNexus Certified Artificial Intelligence Practitioner Professional Certificate

Be an Artificial Intelligence Practitioner. . Master strategies to implement Artificial Intelligence techniques in order to solve business problems.

Taught in English

Some content may not be translated

Renée Cummings
Megan Smith Branch
Stacey McBrine

Instructors: Renée Cummings

5,517 already enrolled

Included with Coursera Plus

Professional Certificate - 5 course series

Earn a career credential that demonstrates your expertise

4.3

(56 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learn about the business problems that AI/ML can solve as well as the specific AI/ML technologies that can solve them.

  • Learn important tasks that make up the workflow, including data analysis and model training and about how machine learning tasks can be automated.

  • Use ML algorithms to solve the two most common supervised problems regression and classification, and a common unsupervised problem: clustering.

  • Explore advanced algorithms used in both machine learning and deep learning. Build multiple models to solve business problems within a workflow.

Details to know

Shareable certificate

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Industry certification

Professional Certificate - 5 course series

Earn a career credential that demonstrates your expertise

4.3

(56 reviews)

Intermediate level

Recommended experience

2 months at 10 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Advance your career with in-demand skills

  • Receive professional-level training from CertNexus
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from CertNexus
  • Prepare for an industry certification exam
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Professional Certificate - 5 course series

Solve Business Problems with AI and Machine Learning

Course 111 hours4.2 (46 ratings)

What you'll learn

  • Identify appropriate applications of AI and machine learning within a given business situation.

  • Formulate a machine learning approach to solve specific business problems.

  • Select appropriate tools to solve given machine learning problems.

  • Protect data privacy and promote ethical practices when developing and deploying AI and machine learning projects.

Skills you'll gain

Category: Linear Regression
Category: Machine Learning (ML) Algorithms
Category: Machine Learning
Category: classification
Category: clustering

What you'll learn

  • Collect and prepare a dataset to use for training and testing a machine learning model.

  • Analyze a dataset to gain insights.

  • Set up and train a machine learning model as needed to meet business requirements.

  • Communicate the findings of a machine learning project back to the organization.

Skills you'll gain

Category: Artificial Neural Network
Category: Machine Learning (ML) Algorithms
Category: Deep Learning
Category: Support Vector Machine (SVM)
Category: Decision Tree

Build Regression, Classification, and Clustering Models

Course 320 hours4.2 (13 ratings)

What you'll learn

  • Train and evaluate linear regression models.

  • Train binary and multi-class classification models.

  • Evaluate and tune classification models to improve their performance.

  • Train and evaluate clustering models to find useful patterns in unsupervised data.

Skills you'll gain

Category: Ethics Of Artificial Intelligence
Category: Business Solutions
Category: Artificial Intelligence (AI)
Category: Data Structure
Category: Machine Learning

What you'll 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 multi-layer perceptron (ML) artificial neural networks (ANN) for regression and classification.

  • Train and evaluate convolutional neural networks (CNN) and recurrent neural networks (RNN) for computer vision and natural language processing tasks.

Skills you'll gain

Category: Schedule
Category: Test Preparation
Category: Online proctored
Category: PearsonVUE
Category: Certification

Preparing for Your CertNexus Certification Exam

Course 52 hours4.8 (134 ratings)

What you'll learn

  • Differentiate between certifications and other validation techniques.

  • Schedule an exam on PearsonVUE and prepare to take an exam at a PearsonVUE test center or online via Pearson OnVUE.

  • Discover tools to prepare for certification exams.

  • Post and share your success after passing your CertNexus certification exam.

Skills you'll gain

Category: Modeling
Category: Process Management
Category: Artificial Intelligence (AI)
Category: Data Analysis
Category: Machine Learning

Instructors

Renée Cummings
CertNexus
5 Courses30,867 learners
Megan Smith Branch
1 Course16,413 learners

Offered by

CertNexus

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