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| Duration | Exam | Delivery | Certificate | Level |
| 5 Days | Included | Live Online & Self-Study | PECB | Intermediate |
The Certified Artificial Intelligence Professional course helps you build practical AI skills. You will learn how AI works and how to use it in real-world projects.
The course covers machine learning, deep learning, natural language processing (NLP), computer vision, robotics, and expert systems. It also explains AI risk management, ethics, privacy, and compliance.
By the end of the course, you will understand how to develop and use AI solutions in a responsible way.
Why Should You Attend?
Artificial intelligence is changing how businesses work. Many organizations need skilled professionals who can develop and manage AI solutions.
This course helps you understand key AI technologies and their business uses. You will explore real-world examples and practical methods. You will also learn how to identify AI risks and support responsible AI use.
In addition, you will learn how to:
- Understand key AI concepts and current technologies.
- Apply AI methods to real-world problems.
- Support AI projects and business goals.
- Identify AI risks, bias, and privacy concerns.
- Follow ethical practices and relevant compliance requirements.
After completing the training and passing the exam, you can apply for the Certified Artificial Intelligence Professional credential. This credential can help demonstrate your AI knowledge and support your career development.
Day 1: Foundations of AI and Data Analysis
Day 2: Machine Learning
Day 3: Deep Learning and Natural Language Processing
Day 4: Computer Vision, Robotics, AI Security, AI Strategy, Governance, and Risk Management
Day 5: Certification exam
The PECB Certified Artificial Intelligence Professional” exam meets the requirements of the PECB Examination and Certification Program (ECP). It covers the following competency domains:
Domain 1: Fundamental concepts and principles of artificial intelligence
Domain 2: Data analysis and Visualization
Domain 3: Building Machine Learning models
Domain 4: Deep Learning and Natural Language Processing
Domain 5: Knowledge and application of Computer Vision and Robotics
Domain 6: AI Security
Domain 7: AI Ethics, Governance, Strategy
After successfully passing the exam, you can apply for one of the credentials shown below. You will receive the certificate once you comply with all the requirements related to the selected credential.
The requirements for the Certified Artificial Intelligence Professional certification are as follows:
| Credential | Exam | Professional experience | AIPMS project experience | Other requirements |
| PECB Certified Provisional Artificial Intelligence Professional | PECB Certified Artificial Intelligence Professional exam | None | None | Signing the PECB Code of Ethics |
| PECB Certified Artificial Intelligence Professional | PECB Certified Artificial Intelligence Professional exam | Five years: two years of artificial intelligence experience | 300 hours | Signing the PECB Code of Ethics |
To be considered valid, the implementation activities should follow best implementation and management practices and include the following:
- Fundamental data analysis, visualization, and preprocessing techniques
- General knowledge and Implementation of machine learning algorithms, covering supervised and unsupervised machine learning models.
- Hands-on expertise and fundamental knowledge of concepts in deep learning.
- Develop and enforce AI governance, ethics, and risk management frameworks, ensuring transparency, fairness, and compliance
- Cross-functional collaboration to align AI initiatives with business objectives and oversee data-driven projects focused on management and analysis.
- Certification and examination fees are included in the price of the training course
- An attestation of course completion worth 31 CPD (Continuing Professional Development) credits will be issued to the participants who have attended the training course.
- Candidates who have completed the training course but failed the exam are eligible to retake it once for free within a 12-month period from the initial date of the exam.
Who Should Attend?
Who Should Attend?
This course is suitable for:
- AI professionals who develop or manage AI solutions.
- Data scientists who build and improve AI models.
- IT managers who oversee AI projects.
- AI practitioners who want to update their skills.
- AI project managers and AI strategists.
- Risk and compliance officers who manage AI risks.
- Business leaders who make decisions about AI.
- Professionals who want to move into AI-related roles.
Learning Objectives
By the end of this training course, you will be able to:
- Explain basic AI concepts and their uses.
- Analyze data and create useful visualizations.
- Understand supervised, unsupervised, and reinforcement learning.
- Explain neural networks and deep learning, including convolutional neural networks (CNNs).
- Describe natural language processing and computer vision.
- Explain how robotics and expert systems support automation.
- Identify AI risks and ways to reduce them.
- Apply ethical AI principles and support compliance.
Educational Approach
The course combines theory with practical learning. You will explore real-world examples and common AI use cases.
You will also take part in practical exercises, group discussions, and knowledge checks. These activities help you understand key concepts and prepare for the certification exam.
Prerequisites
Basic programming knowledge is recommended. A general understanding of data and computer systems can also help you follow the course.
Need Help Before Enrolling?
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