The academy team

Leadership & Advisory

AI Path Academy brings together professionals with experience across AI, technology, cybersecurity, digital infrastructure, media, and learning.

The team contributes different perspectives to the academy’s learning programs, digital resources, technology direction, and continued development. This combination of practical experience helps keep the platform focused on clear, useful, and accessible AI education.

The academy’s approach is collaborative and practical, drawing on experience from different areas of technology and digital work rather than relying on a single perspective.

Leadership & Advisory Team

Three complementary perspectives support the academy’s education, technology, and learning experience.

Mahfuzur Rahman

Technology, AI & Learning Strategy (Founder)

Mahfuzur brings extensive experience across enterprise technology, cybersecurity, cloud security, governance, automation, and technology strategy. His work with AI Path Academy focuses on AI and learning strategy, practical technology adoption, platform direction, and connecting emerging technologies with real-world applications.

Showkat H. Chowdhury

Technology, AI & Infrastructure

Showkat brings professional experience across enterprise technology, infrastructure, networking, security, and modern digital environments. His perspective supports AI Path Academy in areas involving technology platforms, AI adoption, infrastructure, and the practical application of emerging technologies.

Md Tapon Mahamud Jony

Digital Media, AI & Learning Experience

Tapon brings experience across digital media, broadcast systems, video production, audio technology, and large-scale international broadcasting environments. His background includes broadcasting work connected with major international sporting events, including Olympic Games. His perspective supports the academy’s work in educational media, AI-assisted content creation, video learning, and engaging digital learning experiences.

Our approach

Practical, Clear, and Collaborative

We explain technology in accessible language, connect concepts to practical situations, encourage responsible use of AI, and focus on transferable knowledge that can adapt as AI evolves.