Duration
Level
Delivery
Key Features
- 40 hours of instructor-led AI training
- Class recordings available for review
- Globally recognized PECB AI certification
- Hands-on practical exercises and projects
- Additional coaching and Q&A sessions
- 100% HRDF Claimable!
Pre-Requisites
- 2 years of hands-on experience in AI or data-driven projects (recommended, not mandatory)
- Basic understanding of programming and data analysis
- Familiarity with machine learning concepts and AI technologies
- Willingness to learn AI implementation, ethics, and governance fundamentals
Who Should Join
- AI professionals with up to 2 years of experience
- Freshers aspiring to start a career in AI or data-driven roles
- Students seeking a globally recognized AI certification
- Career switchers moving into AI, machine learning, or data science roles
- Professionals preparing for AI project, data science, or AI strategy positions
- Explain foundational AI concepts and principles, including machine learning, deep learning, and natural language processing.
- Perform data analysis and create meaningful visualizations to support AI projects.
- Build, train, and evaluate machine learning models for real-world applications.
- Implement and optimize deep learning architectures such as CNNs and RNNs.
- Understand and apply natural language processing techniques, including modern transformer-based models.
- Develop AI solutions for computer vision, robotics, and expert systems.
- Identify, assess, and mitigate AI risks while ensuring privacy and regulatory compliance.
- Design and implement ethical AI strategies aligned with organizational goals and societal standards.
Artificial Intelligence Fundamentals & Principles
Data Analysis & Visualization
Machine Learning & Model Development
Deep Learning & Neural Networks
Natural Language Processing (NLP)
Practical Assignments
Virtual Coaching Sessions
1 Year Access to LMS
Live Project Experience
Online Assessments
Free Industry Webinars







Certification Exams
The PECB Certified Artificial Intelligence Professional exam validates your knowledge and practical skills in AI, machine learning, deep learning, NLP, computer vision, robotics, AI ethics, and governance.
Exam Details
Exam Duration: 3 hours
Exam Type: Multiple-choice and scenario-based questions
Passing Criteria
Candidates must achieve a score that meets or exceeds the minimum passing threshold defined by PECB to earn the certification.
Exam Competency Domains
The exam covers key areas including:
• AI fundamentals and principles
• Data analysis and visualization
• Machine learning model development
• Deep learning and NLP
• Computer vision, robotics, and expert systems
• AI ethics, governance, risk, and compliance
Certification Requirement
Candidates must successfully pass the PECB Certified Artificial Intelligence Professional exam and comply with PECB’s Code of Ethics to earn the certification.

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