Develop strategic, managerial and practical capabilities for planning, managing, monitoring and scaling AI projects.
Download the course brochurePECB Certified Artificial Intelligence Manager (CAIM)® · PDFAI management connects technology initiatives with organisational goals, stakeholder requirements and measurable outcomes. Opportunity assessment, data readiness, project management and responsible governance form part of this approach.
BT Akademi × PECB training brings management concepts together with practical application. It addresses decision-making and process management through Power BI analysis and reporting, AI agents and n8n automation.
Prioritise AI opportunities and relate risk, performance and automation activities to organisational goals.
Explain AI fundamentals, capabilities and global trends, and assess data readiness and organisational foundations.
Evaluate AI opportunities for business value and feasibility, align initiatives with organisational and stakeholder goals, and define ownership and measurable outcomes.
Connect governance, leadership and risk management, contribute to policy and compliance, and evaluate fairness, bias, transparency, explainability and data security.
Apply Prompt Engineering, define decision-making questions and KPIs, and analyse data and build interactive dashboards with Power BI.
Explain the fundamentals of GenAI, LLMs, RAG and AI agent architectures, and design and manage agent-based automated workflows in n8n.
Prepare for the competency domains covered by the PECB Certified Artificial Intelligence Manager exam.
A five-module programme covering AI foundations, business alignment, data readiness, project management, governance and policy, fairness and bias, transparency and explainability, data security, risk, Prompt Engineering, KPIs, Power BI, GenAI, LLMs, RAG, AI agents and n8n automation.
PECB Certified Artificial Intelligence Manager (CAIM)® training addresses managing AI initiatives in alignment with organisational goals. It examines opportunity prioritisation, data readiness, project management, governance, policy and risk.
The 30-hour, five-day programme consists of five modules. It includes practical work on Prompt Engineering, KPIs, Power BI, GenAI, LLMs, RAG, AI agents and n8n automation. It also includes preparation for the three-hour PECB Certified Artificial Intelligence Manager exam.
Candidates who pass the PECB Certified Artificial Intelligence Manager exam may apply for a credential appropriate to their experience. The Manager credential requires at least 5 years of professional experience, including at least 2 years in artificial intelligence management, 300 hours of project experience and acceptance of the PECB Code of Ethics. Passing the exam alone does not confer the credential. The PECB Certified Artificial Intelligence Provisional Manager option has no professional or project experience requirements; current application requirements apply.
The BT Akademi Achievement Certificate is a separate award. According to the supplied document, it is issued digitally with QR verification to participants who attend at least 80% of the training and successfully complete the assessments or projects required by the curriculum.
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