Covers what generative AI is, how it has evolved, and why it matters in today's digital landscape

Explores the basics of AI models and the significance of foundation models, and explains the difference between training and inferencing

Examines the computational requirements of AI, key design considerations, the power and cooling implications, and the infrastructure modifications needed to support AI workloads

Explores the scaling challenges AI creates, how inference costs can be optimized, and how AI models are maintained and updated in practice

Reviews the role of hyperscalers and the competitive landscape in AI, and considers what the future holds for the data center industry

Examines transparency in AI, its potential risks and benefits, and the balance between innovation and ethics

Explores predictions for AI scaling, potential limits and breakthroughs, and how organizations can prepare for the next wave of innovation

This course is designed for data center professionals who need to understand how generative AI affects their facilities, their roles, and their organization's strategy. That includes data center engineers and operations teams preparing to support AI workloads; facility and site managers planning for higher densities and new infrastructure demands; design, construction, and consulting professionals working on AI-ready builds; sales, business development, and solutions teams who need to speak confidently with customers about AI; and leaders shaping their organization's AI infrastructure strategy.

This course is not designed for learners seeking deep technical training in a single discipline. For advanced engineering in the systems most affected by AI, the Data Center Cooling Professional and Data Center Power Professional courses cover those areas in depth. It is also not a software development or machine learning engineering course.

No. The course begins with a definition of generative AI and its historical evolution, then builds up through the basics of AI models, foundation models, and the difference between training and inferencing before moving on to data center impacts. A working knowledge of data center infrastructure will help learners get the most from the later modules on design and operations; the Data Center Design Awareness course provides that foundation.

Organizations whose teams complete this course gain a clearer, shared understanding of what AI workloads demand from a facility, helping them plan more confidently for higher densities, greater power and cooling loads, and the infrastructure modifications AI requires.

Operations teams are better equipped to anticipate the scaling, cost, and maintenance challenges AI introduces. Commercial and leadership teams gain a grounded view of the market, including the role of hyperscalers and the competitive landscape, supporting better-informed strategic and customer conversations.

And across technical, operational, and commercial functions, a common vocabulary around AI reduces the friction that comes when teams approach AI readiness from different frames of reference.

This course is available as on-demand e-learning or as live, private instructor-led training. On-demand allows learners to progress at their own pace and fits around shift patterns. Live private delivery is available for teams and organizations who want a dedicated session tailored to their context. Contact us to discuss the right delivery method for you and/or your team.

All live, instructor-led DCD Academy courses are designed and delivered by practicing data center industry professionals, including engineers, operations managers, and subject matter experts with real-world experience in mission-critical environments. Our trainers are not generic educators: they bring direct facility experience that makes the content immediately applicable to how data centers actually operate.

Yes. DCD Academy is an IACET-accredited provider, and this course awards IACET Continuing Education Units (CEUs) that comply with the ANSI/IACET Continuing Education and Training Standard. IACET accreditation is the internationally recognized standard for continuing education and training quality.

Completing the Generative AI and Data Centers course and passing the final course exam leads to the Generative AI and Data Centers certification, an industry-recognized credential that formally demonstrates your understanding of how generative AI is shaping data center design, operations, and the wider market.

Upon passing the final course exam, you will receive two credentials.

The first is your official Generative AI and Data Centers certification, carrying a unique certificate ID for authenticity verification. The certification can be saved for personal records, attached to job applications, or uploaded to an internal HR or learning management system, making it straightforward for organizations to track training completion across teams.

The second is a verified digital badge issued through Credly, which can be shared directly to LinkedIn and other professional networks, giving learners a visible signal of their achievement and giving L&D teams an easy way to evidence program participation externally.

Yes, all DCD Academy courses result in continuing education credits.

Yes. Organizations training teams through DCD Academy can access the Workforce Development Platform, a proprietary tool that gives leaders real-time visibility into their team's capability levels, knowledge gaps, and confidence scores. Rather than relying on completion records alone, the platform turns training data into actionable workforce intelligence.

Before training begins, learners complete a diagnostics assessment that establishes a capability baseline, measuring both knowledge and confidence across the topics covered in the course. After training, the diagnostics is repeated, giving you a precise, quantifiable measure of knowledge gain and confidence improvement at the individual, team, and regional level. Leaders can monitor results through a live dashboard, filter by individual or team, and use the data to make informed decisions about where to focus further training investment.

For organizations building structured training programs or managing training across multiple sites or shifts, the platform removes the guesswork from workforce development and gives you a defensible, evidence-based picture of team readiness.

DCD Academy is the only data center training provider that combines industry-recognized certifications, practitioner-designed courses, and a proprietary Workforce Development Platform that measures team capability in real time. DCD Academy training is developed from DCD's 26 years as the data center industry's leading intelligence source, meaning course content reflects current operational realities, not static syllabuses. We train teams across 87 countries, including hyperscalers, colocation providers, enterprise operators, advisors and vendors.