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.

Megan Smith Branch
Stacey McBrine
Anastas Stoyanovsky

Instructors: Megan Smith Branch

Included with Coursera Plus

Learn more

Earn a career credential that demonstrates your expertise
4.4

(105 reviews)

Intermediate level

Recommended experience

Flexible schedule
2 months at 10 hours a week
Learn at your own pace
Earn a Certificate
With paid plans
Earn a career credential that demonstrates your expertise
4.4

(105 reviews)

Intermediate level

Recommended experience

Flexible schedule
2 months at 10 hours a week
Learn at your own pace
Earn a Certificate
With paid plans

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

Add to your LinkedIn profile

Industry certification
Taught in English
21 practice exercises

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

Learn more about Coursera for Business
logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Professional Certificate - 5 course series

Solve Business Problems with AI and Machine Learning

Solve Business Problems with AI and Machine Learning

Course 111 hours

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

Machine Learning, Responsible AI, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Solution Design, Project Implementation, Compliance Management, Data-Driven Decision-Making, Applied Machine Learning, Business Solutions, Data Ethics, Machine Learning Algorithms, Business Ethics, and MLOps (Machine Learning Operations)
Follow a Machine Learning Workflow

Follow a Machine Learning Workflow

Course 219 hours

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

Data Analysis, Data Collection, Machine Learning, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Statistical Analysis, Workflow Management, Exploratory Data Analysis, Data Modeling, MLOps (Machine Learning Operations), Process Management, Predictive Modeling, and Applied Machine Learning
Build Regression, Classification, and Clustering Models

Build Regression, Classification, and Clustering Models

Course 320 hours

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

Machine Learning, Regression Analysis, Linear Algebra, Predictive Modeling, Unsupervised Learning, Machine Learning Algorithms, Supervised Learning, Classification And Regression Tree (CART), Statistical Modeling, Applied Machine Learning, Performance Tuning, Algorithms, Dimensionality Reduction, and Feature Engineering
Build Decision Trees, SVMs, and Artificial Neural Networks

Build Decision Trees, SVMs, and Artificial Neural Networks

Course 421 hours

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

Deep Learning, Artificial Neural Networks, Supervised Learning, Computer Vision, Decision Tree Learning, Machine Learning Algorithms, Natural Language Processing, Random Forest Algorithm, Regression Analysis, and Applied Machine Learning
Preparing for Your CertNexus Certification Exam

Preparing for Your CertNexus Certification Exam

Course 52 hours

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

Learning Strategies, System Requirements, Test Planning, Registration, Productivity, Professional Development, Collaboration, and Goal Setting

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Megan Smith Branch
1 Course22,158 learners
Stacey McBrine
CertNexus
8 Courses23,164 learners

Offered by

CertNexus

Compare with similar products

Category: This Certificate
Rating
Level
Skills
Last updated
Number of practice exercises
Degree eligibility
Part of Coursera Plus

You might also like

Related skills

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

More questions

Financial aid available,

¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (10/1/2024 - 10/1/2025)