The Advanced IBM Cloud Pak for Data Training is a 40-hour intensive program designed for data professionals, AI engineers, and cloud architects aiming to build scalable, secure, and production-ready AI/data pipelines on IBM’s integrated data and AI platform. This course offers deep, hands-on experience with designing, deploying, and optimizing enterprise-grade workloads using IBM Cloud Pak for Data. Participants will explore key platform components such as Watson Studio, DataStage, AutoAI, and Watson Machine Learning, while learning to integrate data sources, orchestrate ML workflows, manage containerized environments, and monitor model performance. Real-world labs and project-based learning ensure participants gain the confidence to operationalize AI at scale across hybrid cloud environments.

Guardium Data Protection Fundamentals is a 16–24 hour practical training program designed to help learners understand how to secure enterprise data—both structured and unstructured—using IBM Guardium. This course provides a comprehensive introduction to modern data protection practices, including data discovery, classification, activity monitoring, vulnerability assessment, and compliance reporting. Learners will gain hands-on exposure to Guardium’s core capabilities, from identifying sensitive data across databases and file systems to monitoring access behavior, detecting anomalies, and generating compliance-ready audit reports. By the end of the course, participants will be able to support data security initiatives, strengthen compliance posture, and ensure effective data governance within their organizations.

The IBM AI Engineering Professional program is a comprehensive 40–60 hour training designed to help learners master the full spectrum of modern AI engineering—from foundational machine learning to deep learning, NLP, MLOps, and production deployment. Built around IBM’s enterprise-grade tools and cloud ecosystem, this course equips participants with the technical depth and hands-on experience needed to build, train, optimize, and deploy AI models at scale. Using IBM Watson Studio, IBM Cloud Pak for Data, and other IBM AI engineering frameworks, participants will work through real-world workflows involving model development, pipeline automation, monitoring, and enterprise deployment practices. By the end of the course, learners will have the practical skills and tooling knowledge necessary to function as AI Engineers capable of supporting enterprise AI initiatives.

The IBM DataStage Developer Training is a 30-hour intensive program designed for professionals seeking expertise in ETL processes and IBM DataStage development. Participants will gain practical experience in designing, developing, and deploying parallel jobs to extract, transform, and load enterprise data efficiently. The course emphasizes data consistency, reliability, and integration across complex systems, preparing learners to manage enterprise-scale data workflows with confidence.

IBM FileNet is a comprehensive content management platform that enables organizations to manage their critical business content and streamline their business processes. It offers a suite of software products that enable enterprises to store, manage, and access content, documents, and records. IBM FileNet is used by many large organizations worldwide to manage their enterprise content and automate their business processes. The IBM FileNet course is designed to provide a comprehensive understanding of the IBM FileNet platform. The course covers topics such as content management, business process management, document management, records management, and workflow management. It also covers the key features and benefits of IBM FileNet, such as its scalability, security, and ease of use. The IBM FileNet course is suitable for professionals who are involved in enterprise content management, document management, records management, and business process automation. It is ideal for IT professionals, system administrators, developers, and architects who want to learn how to use IBM FileNet to manage enterprise content and automate business processes.