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Certified AI Practitioner – The Future of Technology


5 Day (Virtual or Physical Classroom)

Expert Instructors

Learn from the best in the industry


Practical exercises & real-world AI scenarios

CertNexus Approved

Unleash the Power of AI

In an era where artificial intelligence is reshaping industries, the demand for skilled AI professionals has never been higher. The Certified Artificial Intelligence Practitioner (CAIP™) Bootcamp is your gateway to mastering this revolutionary technology.

Our CAIP Training Camp features:

  • Expert Instructors: Courses are led by experienced professionals with deep knowledge and practical experience in AI, providing insights into real-world applications.
  • Comprehensive Curriculum: The program covers essential topics in AI, including machine learning, neural networks, deep learning, and ethical considerations in AI development.
  • Hands-On Projects: Participants engage in practical projects that allow them to apply their learning in real-world scenarios, enhancing their understanding and skills.
  • Custom CPE/CEUs: Enrolling in our program grants access to specialized continuing education credits recognized by a majority of leading certification providers.

Our CAIP Bootcamp is not just about passing an exam; it’s a transformative journey that equips you with cutting-edge AI skills, opening doors to unparalleled career opportunities and setting you apart in the rapidly evolving digital landscape. By the end of the class, you’ll be well-prepared to take—and pass—the Certified Artificial Intelligence Practitioner AIP-210 exam.


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This course focuses on three key skill areas: software development, applied mathematics and statistics, and business analysis. It is ideally suited for individuals who already have strength in one or two of these domains and are seeking to enhance their abilities in the remaining fields. This comprehensive skillset is essential for effectively applying artificial intelligence (AI) systems, especially machine learning models, to solve complex business challenges.

An ideal candidate for this course is someone who has accumulated several years of experience in the field of computing technology and has developed a basic proficiency in computer programming.

  • 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.

Solving Business Problems Using AI and ML

  • Identify AI and ML Solutions for Business Problems
  • Follow a Machine Learning Workflow
  • Formulate a Machine Learning Problem
  • Select Appropriate Tools

Collecting and Refining the Dataset

  • Collect the Dataset
  • Analyze the Dataset to Gain Insights
  • Use Visualizations to Analyze Data
  • Prepare Data

Setting up and Training a Model

  • Set Up a Machine Learning Model
  • Train the Model

Finalizing a Model

  • Translate Results into Business Actions
  • Incorporate a Model into a Long-Term Business Solution

Building Linear Regression Models

  • Build Regression Models Using Linear Algebra
  • Build Regularized Regression Models Using Linear Algebra
  • Build Iterative Linear Regression Models

Building Classification Models

  • Train Binary Classification Models
  • Train Multi-Class Classification Models
  • Evaluate Classification Models
  • Tune Classification Models

Building Clustering Models

  • Build k-Means Clustering Models
  • Build Hierarchical Clustering Models

Building Decision Trees and Random Forests

  • Build Decision Tree Models
  • Build Random Forest Models

Building Support-Vector Machines

  • Build SVM Models for Classification
  • Build SVM Models for Regression

Building Artificial Neural Networks

  • Build Multi-Layer Perceptrons (MLP)
  • Build Convolutional Neural Networks (CNN)
  • Build Recurrent Neural Networks (RNN)

Promoting Data Privacy and Ethical Practices

  • Protect Data Privacy
  • Promote Ethical Practices
  • Establish Data Privacy and Ethics Policies

Certified Artificial Intelligence (AI) Practitioner Breakdown

  • Exam Structure
  • Exam Registration Process
  • Time Management
  • Topics and Concepts
  • Certification Question Structure
  • Vendor Interpretation Techniques


The Certified Artificial Intelligence Practitioner (CAIP) certification is a professional credential that signifies a foundational understanding and practical skills in artificial intelligence and machine learning.

This certification is ideal for IT professionals, project managers, analysts, business leaders, and anyone interested in understanding and applying AI in their field.

While there are no strict prerequisites, a basic understanding of programming and statistics is beneficial. The program is designed to cater to both beginners and those with some prior knowledge of AI.

The program covers AI fundamentals, machine learning, neural networks, data ethics, and real-world applications of AI across various industries.

The exam is challenging but manageable, especially with proper preparation. It tests both theoretical understanding and practical applications of AI.

The exam typically consists of multiple-choice questions that assess your knowledge and understanding of artificial intelligence concepts and practices

The exam voucher for the AIP-210 exam is $350 per attempt

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Learn More about our Team Training Options

Volume Attendee Pricing

Private training is specifically designed for group training and provides an average price savings of up to 40% compared to individual training.

Custom Training Options

Training programs can be tailored to meet the project needs and requirements of your team.

Convenient options — either in-person, online, or on-site

Training Camp offers flexible solutions for today’s learning environment. Our programs can scale to any format, whether your team is local or spread out across the globe.

Dedicated exam scheduling assistance

As our partner, you will have a dedicated support from our team to ensure your exam scheduling works for you.

CAIP Training, Together

Fill out a contact form and one of our Enterprise Solutions experts will contact you to discuss the best training solutions for your team. You can also e-mail our team directly at: [email protected]

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Training Camp Reviews

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Mike Guzman


Training Camp’s trainers, especially our instructor Jeff, are in a class of their own. John’s blend of industry knowledge and teaching acumen is outstanding

Chris Beebie

Data Corp

As a project manager, I found his insights invaluable. He simplified complex AI concepts, making them digestible for everyone. Training Camp is truly fortunate to have such talent.

Lea Reed


Sarah, our trainer at Training Camp, was exceptional. Her approach to training was personalized, making it feel like she was mentoring each one of us individually.

Mark N

Booz Allen Hamilton

I left the class with a new-found confidence.



I believe self-study would have been much much harder to comprehend the information and pass the test on a first try. My colleagues who self-studied flunked the first time they took it. I passed the first time after attending the boot camp.


AI Team Training Options

Are several of your team members interested in Artificial Intelligence training? Would you like them to attend training at your location or via a private virtual training course?

Our enterprise solutions specialists will create a package of training that fits your organization’s specific training needs. We can accommodate group training packages for as few as three to as many as thousands of team members spread across the globe.

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