This 5-day CertNexus CyberSec Certified Artificial Intelligence (AI) Practitioner Certification course accredited by CertNexus. 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.
- Specify a general approach to solve a given business problem that uses applied AI and ML.
- Collect and refine a dataset to prepare it for training and testing.
- Train and tune a machine learning model.
- Finalize a machine learning model and present the results to the appropriate audience.
- Build linear regression models.
- Build classification models.
- Build clustering models.
- Build decision trees and random forests.
- Build support-vector machines (SVMs).
- Build artificial neural networks (ANNs).
- Promote data privacy and ethical practices within AI and ML projects.
CertNexus’ Artificial Intelligence (AI) certifications are the first-to-market, vendor-neutral certifications for AI and Machine Learning (ML) professionals. Our Certified Artificial Intelligence Practitioner (CAIP) is the first high-stakes certification for AI and is the only certification on the market that certifies practitioners on how to design and implement an AI solution using ML.
The number of enterprises implementing artificial intelligence (AI) grew 270% in the past four years and tripled in the past year, according to the Gartner 2019 CIO Survey. Yet this amounts to only 37% of organizations that have implemented AI — demonstrating the considerable growth still to come. AI is not just another technology or process for the business to consider — it is a truly disruptive force, one that promises to deliver an entirely new level of results. If the organization wants to thrive and survive in this transforming business landscape, it will need to harness the power of AI.
The skills covered in this course converge on three areas—software development, applied math and statistics, and business analysis. Target students for this course may be strong in one or two or these of these areas and looking to round out their skills in the other areas so they can apply artificial intelligence (AI) systems, particularly machine learning models, to business problems. So, the target student may be a programmer looking to develop additional skills to apply machine learning algorithms to business problems, or a data analyst who already has strong skills in applying math and statistics to business problems but is looking to develop technology skills related to machine learning.
A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus® Certified Artificial Intelligence (AI) Practitioner (Exam AIP-110) certification.