A CertNexus Certified Training Course

Why Choose Certified Artificial Intelligence Practitioner™ (CAIP) Training Course?

Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This Certified Artificial Intelligence Practitioner™ (CAIP) training course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions.

To ensure your success in this course, specific prerequisites are mandatory to take. The program prerequisites can be accessed and viewed by visiting the following hyperlinked file: CAIP Prerequisites, and  CertNexus Exam Blueprints.

What are the Goals?

At the end of this training course, you will develop AI solutions for business problems. You will:

  • Solve a given business problem using AI and ML.
  • Prepare data for use in machine learning.
  • Train, evaluate, and tune a machine learning model.
  • Build linear regression models.
  • Build forecasting models.
  • Build classification models using logistic regression and k -nearest neighbor.
  • Build clustering models.
  • Build classification and regression models using decision trees and random forests.
  • Build classification and regression models using support-vector machines (SVMs).
  • Build artificial neural networks for deep learning.
  • Put machine learning models into operation using automated processes.
  • Maintain machine learning pipelines and models while they are in production.

Who is this Training Course for?

The skills covered in this training course converge on four areas—software development, IT operations, applied math and statistics, and business analysis. Target participants for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems.

So, the target participant is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decision-making products that bring value to the business.

A typical participant in this course should have several years of experience with computing technology, including some aptitude in computer programming.

This Certified Artificial Intelligence Practitioner™ (CAIP) training course is also designed to assist participants in preparing for the CertNexus® Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification.

The Course Content

  • Identify AI and ML Solutions for Business Problems
  • Formulate a Machine Learning Problem
  • Select Approaches to Machine Learning
  • Collect Data
  • Transform Data
  • Engineer Features
  • Work with Unstructured Data
  • Train a Machine Learning Model
  • Evaluate and Tune a Machine Learning Model
  • Build Regression Models Using Linear Algebra
  • Build Regularized Linear Regression Models
  • Build Iterative Linear Regression Models
  • Build Univariate Time Series Models
  • Build Multivariate Time Series Models
  • Train Binary Classification Models Using Logistic Regression
  • Train Binary Classification Models Using k-Nearest Neighbor
  • Train Multi-Class Classification Models
  • Evaluate Classification Models
  • Tune Classification Models
  • Build k-Means Clustering Models
  • Build Hierarchical Clustering Models
  • Build Decision Tree Models
  • Build Random Forest Models
  • Build SVM Models for Classification
  • Build SVM Models for Regression
  • Build Multi-Layer Perceptrons (MLP)
  • Build Convolutional Neural Networks (CNN)
  • Build Recurrent Neural Networks (RNN)
  • Deploy Machine Learning Models
  • Automate the Machine Learning Process with MLOps
  • Integrate Models into Machine Learning Systems
  • Secure Machine Learning Pipelines
  • Maintain Models in Production

Certificate and Accreditation

  • AZTech Certificate of Completion for delegates who attend and complete the training course
  • CertNexus Certificate will be issued to those delegates who successfully pass Exam AIP-210
In Partnership With
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Accreditation
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Frequently Asked Questions

There are several convenient ways to register for our training programs:

  • Online: Explore our training calendar, choose the course that suits your needs, and click the “Register Now” button on the course details page.
  • Email: Share your details, including your name, organization, email address, and selected course, by sending an email to  info@aztechtraining.com
  • Phone: Reach out to us directly at +971 4 427 5400 or +971 4 427 5407, and our team will guide you through the registration process.

Once your registration is successfully completed, you will receive a confirmation email within 24 hours. This email will contain your registration details, invoice, and the necessary joining instructions for the course.

The training fees include full access to the training venue, along with comprehensive training materials to enhance your learning experience. Additionally, participants will be provided with writing supplies and stationery. To ensure comfort and convenience, the fee also covers lunch and refreshing coffee breaks throughout the duration of the course.

Our training programs are hosted at luxurious five-star hotels in prestigious destinations across the globe. Some of our popular locations include Dubai, London, Kuala Lumpur, Amsterdam, New York, Paris, Vienna, and many other iconic cities.

Yes, we offer tailored corporate training solutions to meet your organization's specific needs. Please contact us at info@aztechtraining.com or call +971 4 427 5400 for more information.

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