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Why mainframe education is key to thriving in Hybrid IT

Specialised skills and advanced educational initiatives are essential to harness the potential of mainframes in the age of AI

Updated - February 11, 2025 02:12 pm IST

As AI and mainframes continue to converge, creating adaptable, skilled professionals will be key to driving both organisational resilience and innovation.

As AI and mainframes continue to converge, creating adaptable, skilled professionals will be key to driving both organisational resilience and innovation. | Photo Credit: Getty Images/iStockPhoto

As we navigate the rise of Artificial Intelligence (AI) in IT, mainframe technology remains critical. Once viewed as legacy systems, mainframes now play a vital role in Hybrid IT environments, supporting essential applications across sectors such as banking, healthcare, and government. However, for mainframes to remain competitive, we must bridge a notable skills gap, one that is compounded by rapid digital transformation and evolving industry needs.

To meet the demands of Hybrid IT, an enhanced focus on mainframe education is essential. Here is why fostering specialised skills and encouraging advanced educational initiatives is critical to thrive in this field.

New requirements

As AI enhances mainframe capabilities, traditional mainframe expertise and advanced AI-driven skills are required. This new skill set encompasses machine learning, data analysis, cybersecurity, and generative AI integration and requires an interdisciplinary approach where mainframe experts not only handle legacy systems but also manage and optimise AI-powered processes, using tools to modernise applications for the cloud. To address this, mainframe education must expand beyond foundational knowledge to include training in AI integrations, Hybrid IT architecture, and secure coding practices.

Universities and technical institutes play a crucial role in preparing students for a career in mainframe technology. While traditional programming and IT management remain important, there is a growing need for partnerships with tech organisations to introduce advanced mainframe courses. Collaborative programmes such as IBM’s Academic Initiative offer hands-on experience and tailored certifications for students to acquire theoretical knowledge and practical skills.

Moreover, institutions could enhance curriculums by including industry-led workshops, simulations, and real-world case studies. In doing so, they equip students with applied skills in areas such as mainframe application modernisation and Hybrid IT integration, bridging the gap between academia and industry expectations.

Technology has redefined educational delivery methods. Virtual labs, interactive simulations, and AI-driven tutoring platforms are reshaping how students engage with mainframe technologies. Online certification programmes such as those offered by IBM, Coursera, Interskills and BMC make it easier to gain credentials in specialised areas such as mainframe administration and AI-powered system management. Additionally, advanced learning platforms incorporate gamification to make learning more engaging, especially for complex topics such as mainframe security and hybrid cloud management.

Tools and certifications

Digital tools also facilitate remote internships and mentoring programmes. For example, BMC Software’s DevOps initiatives integrate mainframe training into development processes, enabling students to practice real-world mainframe applications and collaborate on virtual projects with industry experts. By harnessing these technologies, students and professionals can acquire skills that are practical and directly applicable in today’s IT environments.

Certifications are increasingly recognised as a valuable means to stay competitive in the mainframe space. Popular certifications such as IBM’s z/OS Mainframe Practitioner Professional Certificate focus on foundational skills, while advanced certifications in AI integration, cloud computing, and cybersecurity are now also available. BMC’s AMI for Security certification, for instance, is gaining popularity as companies prioritise secure, AI-enhanced mainframe operations to safeguard sensitive data.

Investing in mainframe education is essential to equip the next generation of IT professionals with the skills to harness the full potential of mainframes in the age of AI. Through advanced curriculums, strategic partnerships, and cutting-edge certifications, we can ensure that our talent pool is prepared for the challenges and opportunities of a Hybrid IT landscape. As AI and mainframes continue to converge, creating adaptable, skilled professionals will be key to driving both organisational resilience and innovation.

The writer is Vice President, Mainframe Service Delivery.

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