
ACI Learning delivers hands-on IT and cybersecurity training that goes beyond theory—helping learners build real, job-ready skills that stick. Our approach is practical and results-driven, combining immersive virtual labs, certification prep, and instruction led by seasoned industry professionals who understand what it takes to succeed in the field.
Whether you’re managing a team or investing in your own growth, myACI—ACI Learning’s all-in-one training platform—bridges the gap between learning and doing. It’s designed to transform knowledge into measurable performance, empowering learners to apply what they’ve learned immediately on the job.
myACI keeps engagement high with expert-led video content, gamified elements like skill points, and learning paths. For leaders, robust dashboards and analytics make it easy to assign training, track progress, and connect learning to business outcomes. Enterprise-ready and globally trusted, myACI also offers Marketplace access to expand training beyond IT and cybersecurity. Scalable, flexible, and built for today’s workforce, ACI Learning helps you build a stronger team and prove the ROI of every training initiative.
Learn more

Join companies like Cisco, Degreed, Genentech, Glassdoor, Google, Instacart, NPR, Whirlpool in using our best in class compliance training.
Access direct or through partners including Workday Cloud Connect, Udemy Business, and Ninjio
Our easy-to-deploy training gives HR, L&D, People Leaders, and Compliance teams risk benchmarking and skill assessment by department.
All Emtrain courses include binge-worth workplace video, interactive scenarios, skill building techniques, reflection questions, completion certificates, and litigation-ready reports. Content is written by lawyers with decades of expertise preventing workplace harassment & motivating business compliance. Our Preventing Workplace Harassment courses meet all relevant laws (CA, NY, IL, UK, AUS, CAN, IND, MEX, etc.)
100+ microlessons for continued learning OR to remediate disrespectful or non-compliant behaviors.
Help employees adapt to the real-world complexity of the 2026 workplace with online training they'll actually appreciate.
Learn more
Symage
Symage stands out as a cutting-edge synthetic data platform that generates tailored, photorealistic image datasets, complete with automated pixel-perfect labeling, to enhance the training and refinement of AI and computer vision models. Utilizing physics-based rendering and simulation techniques instead of generative AI, it produces high-quality synthetic images that faithfully imitate real-world scenarios, while accommodating a diverse array of conditions, lighting changes, camera angles, object movements, and edge cases with exceptional precision. This meticulous control significantly reduces data bias, curtails the necessity for manual labeling, and can diminish data preparation time by as much as 90%. Specifically designed to provide teams with targeted data for model training, Symage helps eliminate reliance on limited real-world datasets, empowering users to tailor environments and parameters to fulfill specific application needs. This customization ensures that the datasets are not only balanced and scalable but also meticulously labeled down to the pixel level, enhancing their usability for various projects. With a foundation built on comprehensive expertise across fields such as robotics, AI, machine learning, and simulation, Symage effectively addresses data scarcity challenges while improving the accuracy of AI models, rendering it an essential asset for both developers and researchers. By harnessing the capabilities of Symage, organizations can expedite their AI development workflows and achieve notable improvements in project efficiency, ultimately leading to more innovative solutions.
Learn more
Composer 2.5
Composer 2.5 is Cursor’s newest AI-powered coding model, designed to significantly improve software development productivity through stronger reasoning, enhanced collaboration, and better handling of complex engineering tasks. Compared to Composer 2, the new release delivers major gains in sustained coding performance, allowing developers to work on larger and more complicated projects with improved reliability. The model was trained using expanded compute resources, more advanced reinforcement learning environments, and additional optimization techniques focused on both intelligence and usability. Cursor also refined behavioral aspects of the AI, including communication style and effort calibration, to make interactions feel more natural and productive during real-world coding sessions. A major feature of Composer 2.5 is its targeted reinforcement learning system with textual feedback, which provides localized corrections during training when the model makes mistakes such as invalid tool calls or style violations. This approach helps the AI understand exactly where errors occur and improves its decision-making more effectively than broad reward signals alone. The company further strengthened the model by training it on 25 times more synthetic coding tasks than Composer 2, exposing it to a wider range of difficult engineering challenges and edge cases. These synthetic tasks included feature deletion exercises where the model had to reconstruct missing functionality in real codebases using automated tests as validation signals. During large-scale training, Composer 2.5 demonstrated advanced problem-solving capabilities by reverse-engineering cached data and decompiling Java bytecode to recover deleted APIs in synthetic environments. Cursor also implemented sophisticated distributed training systems such as Sharded Muon and dual mesh HSDP, allowing efficient optimization across extremely large AI models and infrastructure clusters.
Learn more