The new additions cover different stages of enterprise AI adoption, from using existing agents to creating solutions, engineering new agents and deploying AI across teams.

Choose your Practice Test based on the technology you use and the skills required by your role.

AI agents are changing how organizations approach work.

Instead of simply generating an answer, agents can be designed to carry out multi-step tasks, use tools, connect with information sources and support business workflows, within defined permissions and human oversight.

At Google Cloud Next '26 , Google introduced the Gemini Enterprise Agent Platform, reinforcing its focus on building, scaling, governing and optimizing AI agents.

OpenAI is also investing in workforce AI capabilities. Its OpenAI Certifications initiative has set a goal of certifying 10 million Americans by 2030, alongside expanding learning and professional credential pathways.

The opportunity is clear: as AI adoption expands, organizations increasingly need people who can translate the technology into real, measurable business value.

That includes professionals who can identify the right use cases, design effective workflows, understand technical limitations, manage risks and help teams adopt AI responsibly.

Learning these skills now can help you contribute while enterprise AI practices and credential pathways continue to develop.

Gemini Enterprise brings AI agents into business workflows, with tools for using, creating and managing agents.

Our three new Practice Tests reflect a natural progression: using agents, creating agents and engineering agents.

Whether you're responsible for improving a business process or building production-ready agents, choosing the right starting point depends on your role and your level of technical experience.

For the first time, OpenAI joins the MeasureUp catalog.

Our initial three Practice Tests focus on professionals who help organizations identify, implement and manage OpenAI-powered solutions.

Whether you're consulting on AI opportunities, supporting cybersecurity teams or helping employees adopt ChatGPT, these new tests offer a structured way to assess your knowledge and identify where to improve.

AI products and professional credential programs are developing rapidly. Some vendor certifications and partner-specific credentials already exist, while other pathways continue to expand.

You don't need to wait for a particular certification to become widely available before improving your knowledge.

A structured Practice Test can help you make your learning more deliberate.

Since 1997, MeasureUp has focused on IT certification preparation, with more than 10 million tests taken worldwide.

Our Practice Tests are designed to do more than simply provide a score. They help you identify gaps, understand mistakes and prepare with purpose.

For these emerging AI skill areas, exam-style practice provides a structured learning environment. It should not be interpreted as a guarantee that the format is identical to a specific vendor credential examination.

Learn more about how MeasureUp Practice Tests work and how to use Practice Mode and Certification Mode .

The right choice depends on whether you're focused on one skill area or building a broader AI and IT profile.

Many organizations are already rolling out Gemini Enterprise or ChatGPT. Buying the licenses is the easy part. Getting value from them depends on people, and with AI skills now the hardest to hire for, building them in-house is often the fastest route.

The AI skills gap won't close on its own.

As organizations adopt agents, ChatGPT and other AI-powered solutions, they need professionals who understand how to apply the technology responsibly and effectively.

Whether you're using Gemini Enterprise agents, developing new AI workflows, advising clients or helping teams adopt ChatGPT, structured practice can help you understand where you stand and what to learn next.

Six new Practice Tests. Two leading AI ecosystems. More ways to prepare for what's next.