Hands On Training

CertNexus Certified Artificial Intelligence Practitioner Professional Certificate

CertNexus

via

Coursera

Course Features

Duration

6 months

Delivery Method

Online

Available on

Limited Access

Accessibility

Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Effort

3 hours per week

Teaching Type

Self Paced

Course Description

The industry-validated certification of Certified Artificial Intelligence Practitioner (CAIP), helps professionals to earn higher salaries (on average, 25%) and stand out from other job applicants. Many organizations have made artificial intelligence (AI), and machine learning (ML) an integral part of their toolkit. These tools can provide valuable insights that enable companies to make new and exciting products and services. This specialization teaches you how to use different algorithms and approaches to solve business problems using AI and ML. It also demonstrates how to follow a methodical workflow and use open-source, off-the shelf tools to develop, test and deploy these solutions. You will also learn how to protect users' privacy. This specialization is for data scientists who are interested in artificial intelligence. It prepares learners for the CAIP exam. Your journey to CAIP Certification

Course Overview

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Skills You Will Gain

What You Will 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

Course Content

Expand all sections

Module 1: Solve Business Problems with AI and Machine Learning

Module 2: Follow a Machine Learning Workflow

Module 3: Build Regression, Classification, and Clustering Models

Module 4: Build Decision Trees, SVMs, and Artificial Neural Networks

Course Instructors

Renée Cummings

Founder and CEO, Urban AI, LLC

Renée Cummings is a criminologist and AI ethicist. She is also a community scholar at Columbia University. Advocating for more diverse, equitable, and inclusive AI, she is on the frontline of ethical...

Anastas Stoyanovsky

Watson Senior Software Engineer, Software Architect at IBM

Anastas develops artificial intelligence and information retrieval technologies for IBM Watson, in close collaboration with IBM Research. He holds an MSc in pure mathematics from Purdue University an...

Stacey McBrine

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

Stacey McBrine has more than 30 years’ experience analyzing, securing, designing and implementing diverse systems and networking architectures. As systems analyst he was instrumental in successful de...

Megan Smith Branch

Chief Product Officer at CertNexus

As COO and CPO for CertNexus, Megan Smith Branch is responsible for the development, delivery and product engagement of CertNexus’ emerging technology certification solutions. As a leader in training...