This credential earner demonstrates knowledge of artificial intelligence (AI) concepts, such as natural language processing, computer vision, machine learning, deep learning, chatbots, and neural networks; AI ethics; and the applications of AI. The individual has a conceptual understanding of how to run an AI model using IBM Watson Studio. The earner is aware of the job outlook in fields that use AI and is familiar with the skills required for success in various roles in the domain.

This badge earner demonstrates knowledge and understanding in technical and scientific concepts related to building AI solutions with open-source frameworks (such as TensorFlow and Keras) to make model predictions using regression, classification, and clustering algorithms such as Naive Bayes, Logistic regression, K-nearest neighbors, Polynomial Linear Regression, SVM (Kernel), Decision tree, and Ensemble learning, K means and DBSCAN for anomaly detection and computer vision.

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This badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods, and tools related to exploring the ethical adoption of AI technologies in the enterprise. The individual has demonstrated skills and understanding of the use of AI technologies for business, including: AI industry adoption trends, AI ethical considerations, Natural Language Processing, and Virtual Agents.

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This credential earner has applied technical knowledge of principles of generative AI, prompt engineering techniques, and Python libraries. The individual has demonstrated general knowledge of the methods, applications, and ethical considerations of using GenAI models. The earner has practiced essential workplace skills and explored generative AI career pathways.

This credential earner demonstrates a foundational understanding of Artificial Intelligence concepts and processes, including common applications of AI, and generative AI. The individual has worked with generative AI tools to refine and create prompts.

This credential earner demonstrates knowledge of cloud computing, including cloud services, deployment models, virtualization, orchestration, and cloud security. The individual is aware of cloud benefits for users and businesses. The individual has a conceptual understanding of how to create a container, deploy a web app to the cloud, and analyze security in a simulated environment. The earner is aware of the job outlook in cloud computing and the skills required for success in various roles.

This credential earner demonstrates knowledge and understanding of the digital transformation drivers made possible by cloud technologies and services. This includes: how cloud works, its capabilities, types, and delivery models (IaaS, SaaS, and PaaS); digital transformation strategies such as Agile practices, the IBM Garage Method, and Enterprise Design Thinking to help organizations get started on their transformation journey; and deploying a test pilot cloud application using IBM Code Engine.

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This credential earner demonstrates knowledge and understanding in the intricate relationship between the enterprises embracing the journey to Cloud adoption and the cloud service providers. The credential earner acquired advanced skills on cloud computing adoption concepts such as compliance, data management, data protection, cloud security, service management and operations, ITIL, incident, problem and change management, site reliability engineering, AIOps, and governance.

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This credential earner demonstrates knowledge and understanding in cloud adoption concepts such as cloud culture, modern cloud practices, and the corresponding roles, with a focus on cloud development practices such as DevOps & Agile. The credential earner explores technical concepts such as cloud-native architecture, microservices, containerization, and APIs and understands what organizational changes may be required when an organization decides to migrate its workloads to the cloud.

* The design of the credential emblem has been refreshed as part of an update to the SkillsBuild Credential Framework. Learn more here

This credential earner demonstrates knowledge of data analytics concepts, methodologies and applications of data science, and the tools and programming languages used in the data ecosystem. The individual has a conceptual understanding of how to clean, refine, and visualize data using IBM Watson Studio. The earner is aware of the job outlook in data and is familiar with the skills required for success in various roles in the domain.

This badge earner has completed all the learning activities included in this online learning experience including hands-on labs, concepts, methods, and tools related to the data science methodology. They demonstrate skills and understanding of the Data Science methodology by engaging in real-wold scenarios and role-playing the process/tools used by a data science team to address real-world enterprise challenges in the insurance industry leveraging cutting-edge fraud analytics approaches and technologies.

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This credential earner demonstrates a foundational understanding of data concepts, such as types of data, big data, the data analytics process, data visualization, and the data science landscape. The individual has worked with data analytics tool to import, analyze and visualize data.

This earner completed all learning activities included in this online learning experience related to advanced topics core to the data science profession including: Data Modeling techniques; Machine Learning; Deep Learning algorithms; Data Science Automation; demonstration of advanced skills application in the field of Data Science by role-playing critical roles in a data science team using latest AI tools for analytics/automation to address real problems.

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This badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods and tools related to the enterprise security domain. The individual has demonstrated skills and understanding in the approaches to elevate an organization’s overall security posture, by adopting practices, methods and tools that increase enterprise cyber resilience.

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This credential earner demonstrates a foundational understanding of cybersecurity key elements and the threats it addresses, including concepts of data privacy, and how to evaluate data security using the CIA triad model. The earner is aware of the job outlook in cybersecurity and is familiar with the skills required for success in various roles. The individual understands how a cybersecurity tool works.

This badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods and tools related to the threat intelligence and hunting domain. The individual has demonstrated domain knowledge and understanding in adopting practices, methods and tools that relates to the activities performed in cyber threat hunting.

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This badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods and tools related to the Security Operations Center’s domain. The individual has developed skills around techniques, technologies, roles and scenarios needed to establish the foundations of a Security Operations Center (SOC) within an organization.

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This credential earner demonstrates knowledge of how data analytics, artificial intelligence (AI), and hybrid cloud computing are revolutionizing ways that humans support each other, while protecting Earth’s resources. The individual has a conceptual understanding of how to select and apply advanced technologies to sustainability issues, and is familiar with the skills required for success in various technology roles.