Artificial Intelligence Engineering.

Certified AI Professional

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This training addresses the growing demand for professionals capable of designing, implementing, and managing AI systems in operational environments.

After completion, participants will be able to develop and manage AI solutions end-to-end, combining technical expertise with governance awareness.

By the end of this training, participants will be able to:

[ Perform data analysis and visualisation for AI projects. ]

[ Apply machine learning techniques to real-world problems. ]

[ Integrate AI into organisational strategies and processes. ]

[ Identify and mitigate AI-related risks. ]

Full programme information

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Day 1 – Foundations of AI and Data Analysis

  • Core concepts and principles of AI
  • AI system types and applications
  • Data analysis and visualisation
  • Role of data in AI systems

Day 2 – Machine Learning

  • Foundations of machine learning and data science
  • Machine learning lifecycle and workflows
  • Supervised learning techniques
  • Unsupervised learning methods
  • Advanced ML applications

Day 3 – Natural Language Processing & Deep Learning

  • NLP fundamentals and techniques
  • Transformers and large language models
  • NLP applications and use cases
  • Deep learning concepts and architectures (e.g. neural networks, CNNs)
  • Advanced deep learning techniques

Day 4 – Computer Vision, Robotics, Governance & Ethics

  • Computer vision fundamentals
  • Robotics and AI-driven automation
  • Generative models and advanced architectures
  • AI security considerations
  • AI ethics and responsible AI
  • AI governance and strategic alignment

Day 5 – Certification Exam

  • PECB CAIP certification exam
  • Evaluation of:
    • Technical AI knowledge
    • Application capability
    • Governance and risk understanding

ADDED VALUE

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Perform data analysis and visualisation for AI projects.
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Apply machine learning techniques to real-world problems.
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Understand and implement NLP and deep learning approaches.
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Work with computer vision and robotics concepts.
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Identify and mitigate AI-related risks.

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