Develop advanced AI and Machine Learning expertise with CAIP™, the industry-recognized standard for AI practitioners.
Certified Artificial Intelligence Practitioner (CAIP™ – AIP-210) is a globally recognized certification that validates the ability to design, build, evaluate, and deploy AI and Machine Learning solutions in real-world business environments.
This certification prepares professionals to apply structured AI workflows, select appropriate algorithms, prepare and analyze data, and operationalize machine learning models while following industry best practices. It is ideal for data professionals, developers, analysts, and technical practitioners seeking vendor-neutral AI expertise.
By completing CAIP™, candidates gain the confidence to solve complex business problems using AI technologies and contribute to building intelligent, data-driven organizations.
Duration
5-Day Program
Level
Intermediate Level (For Data & Technical Professionals)
Delivery
100% Online – Instructor-Led / Self-Paced Options Available
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Course Features & Requirements
Key Features
- 5-day instructor-led, hands-on training
- Comprehensive course materials and practice labs
- Globally recognized AI practitioner certification (AIP-210)
- Real-world business problem-solving with AI & ML
- Hands-on model building using Python and industry tools
- Ideal for data professionals, developers, and technical analysts
Pre-Requisites
- Understanding of the end-to-end data science and machine learning process
- Knowledge of statistical concepts such as probability, sampling, hypothesis testing, and distributions
- Familiarity with data analysis, data preprocessing, and visualization techniques
- Experience writing code in Python, including use of libraries such as NumPy and pandas
- Ability to interpret and analyze datasets for business problem-solving
Who Should Join
- Data science practitioners applying machine learning to business problems
- Software developers building AI-enabled applications
- Business analysts seeking to implement data-driven decision models
- IT professionals transitioning into AI and machine learning roles
- Technical professionals preparing for the AIP-210 certification exam
Key Learning Outcomes
Upon completion, participants should be able to demonstrate each of the following outcome:-
- Solve business problems using structured AI and machine learning workflows.
- Prepare, clean, and engineer datasets for machine learning applications.
- Train, evaluate, and tune machine learning models for optimal performance.
- Build regression, classification, clustering, and forecasting models.
- Develop models using algorithms such as decision trees, random forests, SVMs, and neural networks.
- Implement deep learning techniques using artificial neural networks.
- Deploy machine learning models into production environments.
- Maintain and monitor AI pipelines to ensure long-term model effectiveness.
Course Modules Covered in the Certified A.I Practitioner (CAIP)
Module 1 - Solving Business Problems Using AI and ML
- Identify AI and ML Solutions for Business Problems
- Formulate a Machine Learning Problem
- Select Approaches to Machine Learning
Module 2 - Preparing Data
- Collect Data
- Transform Data
- Engineer Features
- Work with Unstructured Data
Module 3 -Training, Evaluating, and Tuning a Machine Learning Model
- Train a Machine Learning Model
- Evaluate and Tune a Machine Learning Model
Module 4 -Building Linear Regression Models
- Build Regression Models Using Linear Algebra
- Build Regularized Linear Regression Models
- Build Iterative Linear Regression Models
Module 5 - Building Forecasting Models
- Build Univariate Time Series Models
- Build Multivariate Time Series Models
Module 6 - Building Classification Models Using Logistic Regression and k-Nearest Neighbor
- 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
Module 7 - Building Clustering Models
- Build k-Means Clustering Models
- Build Hierarchical Clustering Models
Module 8 - Building Decision Trees and Random Forests
- Build Decision Tree Models
- Build Random Forest Models
Module 9 - Building Support-Vector Machines
- Build SVM Models for Classification
- Build SVM Models for Regression
Module 10 - Building Artificial Neural Networks
- Build Multi-Layer Perceptrons (MLP)
- Build Convolutional Neural Networks (CNN)
- Build Recurrent Neural Networks (RNN)
Module 11 - Operationalizing Machine Learning Models
- Deploy Machine Learning Models
- Automate the Machine Learning Process with MLOps
- Integrate Models into Machine Learning Systems
Module 12 - Maintaining Machine Learning Operations
- Secure Machine Learning Pipelines
- Maintain Models in Production
Our Training Methodology
Practical Assignments
We provide hands-on assignments that requires practical implementation.
Virtual Coaching Sessions
Online coaching sessions that happen over the phone, via video, or on a web platform.
1 Year Access to LMS
Get access to learning resources upto 1 year of class completion.
Live Project Experience
Hands-on learning and training gives participants the opportunity to experience real world situations.
Online Assessments
Participants can assess reflect on their own learning and their level/skills.
Free Industry Webinars
Stay current on market research trends, learn best practices through our webinar sessions.
Program Key Highlights
1/2 day of Remote Online Learning
Additional Coaching Hours
Live Hands-on Projects
Certified by International Body
Mentorship with Industry Experts
Designed for Beginners & Professionals
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Get Professionally Certified
Upon successfully completing this program, participants will be awarded the Professional Certification in Certified A.I Practitioner (CAIP) by CertNexus.
This award is a validation to the efforts taken to master the domain expertise that will set you apart from your competition.
Be a part of the global network of Certified A.I Practitioner (CAIP)and join the community across sectors.
CAIP™ Certification Exam Details
The Certified Artificial Intelligence (AI) Practitioner (CAIP™ – AIP-210) certification validates that a candidate possesses the knowledge and practical skill set required to apply AI and Machine Learning technologies to real-world business problems. The exam is accredited under the ISO/IEC 17024:2012 standard.
Exam Overview
Exam Code: AIP-210
Launch Date: March 2023
Sunset Date: TBD
Passing Score
60% (or 59% depending on exam form)
Exam Format
Number of Questions: 80
Item Format: Multiple Choice & Multiple Response
Duration: 120 minutes (includes Candidate Agreement & Pearson VUE tutorial)
Exam Delivery Options
In-person at Pearson VUE test centers
OR online via Pearson OnVUE remote proctoring
Get in Touch With Us Today!
This program is designed for all technology users who want to improve their cyber safety awareness. The Certified A.I Practitioner (CAIP) course is conducted online and is accessible globally through remote learning, making it ideal for employees, students, and remote workers.
Program Fee
MYR 7500per pax.
Funding Schemes for Companies who are claiming from their HRDF levy or from the MDEC MyWiT scheme.
Limited scholarships available for early self applying individual applicants.
Find out how you can qualify for a scholarship.
Enquire NOW on the various funding options available.
Limited scholarships available for early self applying individual applicants.
Find out how you can qualify for a scholarship.
Enquire NOW on the various funding options available.
One-time fee. One year access to course materials and resources.
Thulija Academy is a HRDF registered training provider. Our panel of expert trainers provide technology training for some of the biggest organizations in Asia.
READY TO KICKSTART YOUR CAREER?
Please fill in the form and a Program Advisor will reach out to you. You can also reach out to us at info@thulija.com or +60123661502