Issued by: OpenAI Academy
Completed: September 6, 2026
Verification: View certificate on OpenAI Academy

What I learned: How to design AI agents and workflows that turn complex objectives into repeatable, reliable execution. The course covered agent roles, workflow design, prompt structure, evaluation and human oversight.

This training strengthens the way I design AI-enabled MarCom and business-development workflows, translating strategic goals into clear handoffs, quality checkpoints and practical systems that make creative and operational work more consistent.

Relevant areas: AI agents, workflow design, prompt engineering, automation, AI governance and digital transformation.

Issued by: Project Management Institute (PMI)
Completed: April 24, 2024
Verification: View certificate on PMI

What I learned: a practical overview of generative AI for project environments; from core concepts and responsible adoption to AI-supported delivery, decision-making and collaboration.

This training sharpens the way I design clear, efficient workflows: turning complex briefs into structured options, connecting teams with useful tools, and keeping human judgement, quality and brand context at the centre.

Relevant areas: Generative AI, project management, digital transformation, AI-enabled workflows, innovation and leadership.

Issued by: Project Management Institute (PMI)
Completed: February 1, 2026
Verification: View certificate on PMI

What I learned: the PMI framework for managing AI initiatives, connecting project discipline with responsible AI adoption, governance and the practical realities of AI-enabled transformation.

This perspective helps me translate emerging technology into accountable workflows – clarifying priorities, defining useful guardrails and keeping decisions aligned with people, business objectives and brand context.

Relevant areas: AI project management, generative AI, responsible AI, governance, digital transformation and leadership.

Issued by: Project Management Institute (PMI)
Completed: July 5, 2026
Verification: View certificate on PMI

What I learned: practical prompt-engineering habits for project work: framing clear requests, supplying useful context, evaluating AI outputs and improving day-to-day productivity with responsible AI use.

This helps me turn complex briefs into clear, well-structured prompts and workflow options; making collaboration faster while maintaining business context, quality and accountable human judgement.

Relevant areas: Prompt engineering, generative AI, project management, AI-enabled workflows, communication and leadership.

Issued by: Anthropic Education
Completed: May 11, 2026
Verification: View certificate on Skilljar

What I learned: how subagents and specialized AI collaboration patterns support task decomposition, parallel execution, quality control and complex workflow management.

This approach helps me design clearer production workflows – allocating the right type of work to the right process, maintaining oversight, and turning complex goals into traceable, high-quality delivery.

Relevant areas: Subagents, AI orchestration, agentic workflows, task management, leadership and scalable execution.