IBM SkillsBuild

AI Applications

This credential earner has applied technical knowledge of the practical and business applications of artificial intelligence (AI). The individual has the skills to apply AI-infused techniques and solutions across various business domains and use cases such as customer experience, supply chains, risk management and human resources, and more. The earner has also practiced essential workplace skills and explored AI career pathways.

AI for Sustainability

This credential earner has applied knowledge of sustainability concepts, AI models, and use cases. The individual can work with data and AI models to gain insights about sustainability issues, in addition to applying AI ethics, critical thinking, and problem-solving to sustainability-related challenges. The earner is aware of sustainability-related job roles using AI technology and the skills required for success in these roles.

Artificial Intelligence

Core AI concepts, types of AI systems, ethical considerations, and real-world use cases. IBM digital badge upon completion.

Artificial Intelligence Analyst Certificate

This badge earner has proven expertise to apply machine learning algorithms and build AI solutions by using IBM Watson. The badge earner has demonstrated advanced proficiency in topics such as AI, Natural Language Processing (NLP), chatbots, computer vision, Watson Studio, Watson Machine Learning, AutoAI, Watson Assistant, Discovery, Natural Language Understanding, Knowledge Studio, and Visual Recognition.

Artificial Intelligence Analyst Certificate: Author

The badge earner has significantly contributed to the authoring of courseware: presentations, labs, exams, quizzes, virtual machines, etc.. The author has developed assets to teach students how to apply ML algorithms and build AI solutions by using IBM Watson. The author developed assets to teach students topics such as AI, Natural Language Processing, chatbots, computer vision, Watson Studio, Watson ML, AutoAI, Watson Assistant, Discovery, Natural Language Understanding, and Knowledge Studio.

Artificial Intelligence Analyst Certificate: Explorer

Through an instructor-led classroom, this badge earner has demonstrated the ability to apply machine learning algorithms and build AI solutions by using IBM Watson. This individual has demonstrated an understanding of topics such as AI, Natural Language Processing (NLP), chatbots, computer vision, Watson Studio, Watson Machine Learning, AutoAI, Watson Assistant, Discovery, Natural Language Understanding and Knowledge Studio.

Artificial Intelligence Analyst Certificate: Instructor

This badge earner has delivered the program course on how to apply machine learning algorithms and build AI solutions by using IBM Watson. This individual has been able to teach topics such as AI, Natural Language Processing (NLP), chatbots, computer vision, Watson Studio, Watson Machine Learning, AutoAI, Watson Assistant, Discovery, Natural Language Understanding and Knowledge Studio.

Big Data Engineer Certificate

This badge earner has a proven expertise to use Big Data methodologies to collect and analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. The badge earner has demonstrated advanced proficiency on topics such as Apache Hadoop, Ambari, MapReduce, Spark, Mlib ZooKeeper, Big SQL, HDFS, YARN, and HBase.

Big Data Engineer Certificate: Author

This badge earner has developed and published a university course to educate students on how to use Big Data methodologies to collect and analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. The author has developed assets that teach students topics such as Apache Hadoop, Ambari, MapReduce, Spark, Mlib ZooKeeper, Big SQL, HDFS, YARN, and HBase.

Big Data Engineer Certificate: Explorer

Through an instructor-led classroom, this badge earner has demonstrated the ability to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. This individual has demonstrated an understanding of topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

Big Data Engineer Certificate: Instructor

This badge earner has delivered the program course on how to use Big Data methodologies to collect and analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. This individual has demonstrated proficiency teaching students topics such as Apache Hadoop, Ambari, MapReduce, Spark, Mlib ZooKeeper, Big SQL, HDFS, YARN, and HBase.

Building AI Solutions Using Advanced Algorithms and Open Source Frameworks

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.

Building Cloud-based Mobile Solutions for the Enterprise

This badge earner has completed all learning activities included in this online learning experience, including hands-on labs, concepts, methods & tools related to exploring the range of underlying cloud technologies used for application development. They demonstrate skills & understanding of the technologies behind the adoption of cloud for the enterprise including: Data services, AI cloud services, security practices for cloud-based apps, & multi-channel approaches for customer engagement.

Building Trustworthy AI Enterprise Solutions

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.

Business Intelligence Analyst Certificate

This badge earner has proven expertise to consolidate data from several sources, and use models to analyze & build dashboards and reports, using IBM Cognos Analytics. The badge earner has demonstrated advanced proficiency in topics such as modeling, identifying relationships, dashboards, list reports, crosstabs, visualizations, data formatting, data filters, drilling, queries, and enhancing reports using HTML.

Business Intelligence Analyst Certificate: Author

The badge earner has developed and published a university course to educate students on how to consolidate data from several sources, and use models to analyze and build dashboards and reports, using IBM Cognos Analytics. The course will teach students topics such as modeling, identifying relationships, dashboards, list reports, crosstabs, visualizations, data formatting, data filters, drilling, queries, and enhancing reports using HTML.

Business Intelligence Analyst Certificate: Explorer

Through an instructor-led classroom, this badge earner has demonstrated the ability to consolidate data from several sources, and use models to analyze & build dashboards and reports, using IBM Cognos Analytics. The individual has demonstrated an understanding of topics such as modeling, identifying relationships, dashboards, list reports, crosstabs, visualizations, data formatting, data filters, drilling, queries, and enhancing reports using HTML.

Business Intelligence Analyst Certificate: Instructor

This badge earner has delivered the program course on consolidating data from several sources, and use models to analyze & build dashboards and reports, using IBM Cognos Analytics. This individual has been able to teach topics such as modeling, identifying relationships, dashboards, list reports, crosstabs, visualizations, data formatting, data filters, drilling, queries, and enhancing reports using HTML.

Cloud Business Practitioner Certificate

Through validated instructor-led training, this credential earner has acquired the skills and understanding of Cloud Computing concepts and technologies. They have demonstrated proficiency and understanding of Cloud technical topics and design thinking. The earner has gained the ability to apply the concepts and technology with the applicable open source tools that are relevant to real world Cloud Computing scenarios, suitable for educational purposes.

Cloud Business Practitioner Certificate: Instructor

Through validated instructor-led training, this credential earner has acquired the skills and understanding of Cloud Computing concepts and technologies. They have demonstrated proficiency and understanding of technical topics and Enterprise Design Thinking. The earner has gained the ability to apply the concepts and technology of Cloud Computing with the applicable open-source tools that are relevant to real-world Cloud Computing scenarios, suitable for educational purposes.

Cloud Security

This credential earner has the advanced competencies to ensure the protection of cloud systems, data, applications, and infrastructure. The individual has the technical knowledge and practical skills to apply the appropriate cloud computing framework for an organization’s needs and to summarize key concepts for securing cloud data, infrastructure, and applications. The earner has practiced essential workplace skills and explored cybersecurity career pathways.

Cybersecurity Fundamentals

Cyber threats, social engineering, cryptography, and basic defense strategies. Free IBM digital badge upon passing final assessment.

Data Analytics for Machine Learning

This credential earner has applied technical competencies of data analytics concepts for machine learning such as data processing, supervised learning, and unsupervised learning. The individual has the technical knowledge and practical skills on data collection and preprocessing; training and testing data, and uncovering data patterns and structures to predict outcomes and make decisions.

Data Analytics for Sustainability

This credential earner has applied knowledge of sustainability concepts such as environmental, social, and governance (ESG) reporting, conservation, and resource management and uses data to gain insights about sustainability issues. The individual has skills in Python programming for data analysis and visualization, and proposal writing. The earner is aware of the job outlook, grant opportunities in sustainability fields, and the skills required for success in roles in the domain.

Data Classification

This credential earner has the advanced competencies to analyze data based on its source and type. The individual has the technical knowledge and practical skills to analyze the characteristics of data sets and sources and to refine data sets to align with organizational requirements. The earner has practiced essential workplace skills and explored data analytics career pathways.

Data Collection and Analysis

This credential earner has the advanced competencies to complete the five steps of the data analysis process. The individual has the technical knowledge and practical skills to prepare for analysis, gather data, clean data, analyze data, and interpret the results. The earner has practiced essential workplace skills and explored data analytics career pathways.

Data for Machine Learning

This credential earner demonstrates knowledge of how to prepare and analyze data for machine learning. The individual has introductory knowledge of the process of utilizing data to make informed decisions in machine learning modeling. The learner is familiar with the skills required for success in a machine learning related role.

Data Preparation for Analysis

This credential earner has the advanced competencies to prepare multiple data sets for analysis. The individual has the technical knowledge and practical skills to subdivide a data set, join data, and determine impact and actionability. The earner has practiced essential workplace skills and explored data analytics career pathways.

Data Usability for Organizations

This credential earner has the advanced competencies to manipulate data for usability given organizational requirements. The individual has the technical knowledge and practical skills to establish data usability, create usable data, manipulate data with Microsoft Excel, and implement data automation principles. The earner has practiced essential workplace skills and explored data analytics career pathways.

Data Visualization and Presentation

This credential earner has the advanced competencies to use visuals to communicate data trends and insights. The individual has the technical knowledge and practical skills to build a data story, create visual elements in Microsoft Excel, gather user feedback on visualizations and dashboards, and document the visualization process for future analysis. The earner has practiced essential workplace skills and explored data analytics career pathways.

DevOps for Enterprise Business Agility

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 business application of cloud computing technologies for the enterprise. The individual has demonstrated skills and understanding of the new joint practice for DevOps business agility combining development and operations topics including: DevOps, Agile Culture, and the use of Toolchains for Continuous Delivery.

Digital Mindset

This credential earner demonstrates knowledge of the reasoning and factors for developing a digital mindset, and the required attributes and strategies for cultivating one. The individual knows about ways of working and thinking to use digital tools to their advantage. The earner has a conceptual understanding of the importance of having a digital mindset and applies strategies to be a confident and competent digital citizen.

Enterprise Data Science in Practice

This badge earner has completed all the learning activities included in this online learning experience including hands-on labs, concepts, methods & tools related to the data science methodology. They demonstrate skills & understanding of the Data Science methodology by engaging in real-wold scenarios & 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 & technologies.

Enterprise Design Thinking Certificate: Instructor

Through an IBM instructor-led workshop, this credential earner acquired the skills required to gain practice in the successful application of design thinking techniques to address key industry problems. They are proficient at: mastering lecture material; illustrative story telling; fexperiential learning; critiquing & redirection; & utilizing the Toolkit methods & techniques. They can deliver the course as an instructor applying pedagogical skills to drive group work.

Enterprise Design Thinking Graduate Certificate

This credential earner acquired the skills required to gain practice in the successful application of design thinking techniques to address key industry problems. They demonstrate proficiency on the following topics: History of Design Thinking, Design Thinking Overview, Design Thinking Key Habits, Iteration, User Feedback, Listening, Ideation, Storyboarding, & Prototyping. They gained the ability to apply the concepts of Design Thinking to real world scenarios, suitable for educational purposes.

Enterprise Security in Practice

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.

Ethical AI Applications of Deep Learning and Computer Vision

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 advanced concepts for AI adoption in the enterprise. The individual has demonstrated the application of advanced skills in the field of AI, including: Machine Learning, Deep Learning, Visual Recognition, AI Ethics, and their application in real-world use cases.

Front-End Web Development

This credential earner has advanced web development skills and the ability to craft interactive web pages using HTML, CSS, and JavaScript. The earner can identify software engineering principles and can handle errors within JavaScript. The individual has practical Command Line Interface skills for development environments and has practiced essential workplace skills.

Generative AI in Action

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.

Getting Started with Artificial Intelligence

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.

Getting Started with Cloud for the Enterprise

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 cloud computing domain. The individual has demonstrated knowledge and understanding of the foundations of cloud for the enterprise including: Consumer applications, Enterprise adoption, Delivery models and Industry Cloud Adoption.

Getting Started with Cybersecurity

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.

Getting Started with Data

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.

Getting Started with Enterprise Data Science

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 Data Science roles and their use of technology applied to enterprise projects. The individual has demonstrated knowledge and understanding of the foundations of Data Science including: Data Science Team Roles, Data Analysis Tools, and real-world use cases for the application of the Data Science method.

Getting Started with Enterprise-grade AI

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 artificial intelligence domain. The individual has demonstrated knowledge and understanding of the foundations of Artificial Intelligence for business, including the following topics: AI Evolution, AI Industry Adoption Trends, Natural Language Processing and Virtual Agents.

Getting Started with Threat Intelligence and Hunting

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.

Governance, Risk, Compliance, and Data Privacy

This credential earner has the advanced competencies to evaluate an organization’s data security posture. The individual has the technical knowledge and practical skills to evaluate data security and privacy concepts, assess risk, develop a backup plan, and apply file and drive encryption in various contexts. The earner has practiced essential workplace skills and explored cybersecurity career pathways.

Hardware Components and Troubleshooting

This credential earner has the advanced skills to apply troubleshooting techniques to hardware components for desktop computers, mobile devices, and networks. The individual has the technical knowledge and practical skills to review symptoms, diagnose the issue, establish a theory of probable cause, follow a troubleshooting methodology, and troubleshoot to resolve the hardware issue. The earner has practiced essential workplace skills.

IBM Artificial Intelligence Practitioner Certificate

Through validated Artificial Intelligence (AI) instructor-led training, this credential earner has acquired the skills and understanding of AI concepts and technologies. The earner has demonstrated proficiency and understanding of Artificial Intelligence technical topics and design thinking. They have gained the ability to apply the concepts and technology of Artificial Intelligence with applicable open source tools that are relevant to real world AI scenarios, suitable for educational purposes.

IBM Artificial Intelligence Practitioner Certificate: Instructor

Through an IBM instructor-led workshop, this credential earner gained skills on Artificial Intelligence (AI) concepts, technology & use cases. The earner has demonstrated proficiency on these topics: Artificial Intelligence Foundations, Machine Learning, AI Language & Vision, Design Thinking for AI, & AI Industry Use Cases. The earner demonstrates capacity to deliver the Artificial Intelligence course applying pedagogical skills to drive group work using challenged-based scenarios.

IBM Artificial Intelligence Practitioner Certificate: Instructor V2

Through an IBM instructor-led workshop, this credential earner gained skills on Artificial Intelligence concepts, technology & use cases. The earner has demonstrated readiness to teach AI Fundamentals, Machine Learning Methods & Tools, Data Analytics for Machine Learning, NLP, Deep Learning and GenAI, & AI Industry Use Cases. The earner demonstrates the ability to deliver the AI course, applying pedagogical skills in the context of machine learning solutions for business applications.

IBM Artificial Intelligence Practitioner Certificate V2

This certificate earner has advanced technical skills in AI concepts, such as Machine Learning Methods & Tools, Data Analytics for ML, NLP, Deep Learning and GenAI, and AI applications. Through completion of a comprehensive curriculum, application-based assessments, and authentic experiential learning on 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.

IBM Cloud Computing Practitioner Certificate

Through validated Cloud Computing instructor-led training, this credential earner has acquired the skills and understanding of Cloud concepts and technologies. The individual has demonstrated proficiency and understanding of Cloud technical topics and design thinking. The earner has gained the ability to apply the concepts and technology of Cloud Computing with the applicable open source tools that are relevant to real-world Cloud scenarios, suitable for educational purposes.

IBM Cloud Computing Practitioner Certificate: Instructor

Through an IBM instructor-led workshop, this earner gained skills on Cloud Computing concepts, technology & use cases. They demonstrate proficiency on: Cloud Computing Landscape, Cloud Industry Adoption, API Platforms, Data in the Cloud, Cloud & AI, Cloud for Multi-Channel, Cloud Security, Garage Methodology, Agile Cloud Culture, DevOps Framework & Cloud Industry Use Cases. They can deliver the Cloud Computing Practitioners course as an instructor applying pedagogical skills to drive group work.

IBM Cybersecurity Practitioner Certificate

Through validated Cybersecurity instructor-led training, this credential earner has acquired the skills and understanding of Cybersecurity concepts and technologies. They have demonstrated proficiency and understanding of Cybersecurity technical topics and design thinking. The earner has gained the ability to apply the concepts and technology to design and develop a Cybersecurity solution prototype that is applicable to real-world Cybersecurity scenarios, suitable for educational purposes.

IBM Cybersecurity Practitioner Certificate: Instructor

This earner acquired skills on Cybersecurity concepts, technology, & use cases. They demonstrate proficiency on these topics: Cybersecurity Foundations, Enterprise Cyber Resilience, Cyber Threat Landscape, Implementing an Incident Response Team, Security Operations Center Roles, Tools & Practices, Design Thinking for Cybersecurity, & Industry Use Cases. They can teach the Cybersecurity course and apply pedagogical skills to drive group work using role-play techniques & challenged-based scenarios

IBM Data Science Practitioner Certificate

Through validated Data Science instructor-led training, this credential earner has acquired the skills and understanding of Data Science foundational concepts and technologies. They have demonstrated proficiency and understanding of Data Science technical topics and design thinking. The earner has gained the ability to apply the concepts and technology of Data Science with the applicable open source tools that are relevant to real world Data Science scenarios, suitable for educational purposes.

IBM Data Science Practitioner Certificate: Instructor

Through an IBM instructor-led workshop, this credential earner has gained skills on Data Science concepts, technology, and use cases. They have demonstrated proficiency on these topics: Data Science Foundations, Data Gathering, Data Understanding, Data Modeling & Optimization, Design Thinking for Data Science, & Data Science Industry Use Cases. The earner demonstrates a capacity to teach the Data Science course applying pedagogical skills to drive the group work using challenged-based scenarios.

IBM Job Readiness & Professionalism

Resume, interview prep, and bridging school vs. employer expectations.

IBM Quantum Practitioner Certificate

Through validated Quantum computing instructor-led training, this credential earner has acquired the skills and understanding of Quantum concepts and technologies. The individual has demonstrated proficiency and understanding of Quantum technical topics. The earner has gained the ability to apply the concepts and technology to design and develop a Quantum solution prototype that is applicable to real world scenarios, suitable for educational purposes.

IBM Quantum Practitioner Certificate: Instructor

Through an IBM instructor-led workshop, this credential earner acquired skills on Quantum computing concepts, technology & use cases. They demonstrate proficiency on the following: History of Quantum Computing. Industry & Business Impacts of Quantum Computing, Science & Technology of Quantum Computing, IBM Q, Machine Learning with Qiskit, & Qiskit Aqua Framework. They have the capacity to deliver the Quantum course applying pedagogical skills to drive group work with challenged-based scenarios.

IBM SkillsBuild Cybersecurity Certificate

This certificate earner has advanced technical skills in cybersecurity, such as security posture evaluation, vulnerability assessment, network architecture, cloud infrastructure security, security operations, and incident reporting. Through completion of a comprehensive curriculum, application-based assessments, and authentic experiential learning, the earner has developed workplace and career management skills and industry knowledge, and is prepared for a cybersecurity career across industries.

IBM SkillsBuild Data Analytics Certificate

This certificate earner has advanced technical skills in data analytics: data analysis, data manipulation for usability, introductory statistics, the data analysis process, data set preparation, and data visualizations for storytelling. By completing a comprehensive curriculum, application-based assessments, and authentic experiential learning, the earner has developed workplace and career management skills and industry knowledge, and is prepared for a data analytics career across industries.

IBM SkillsBuild: Job Readiness

Resume building, interviewing, professional communication, and career planning. 1,000+ free courses total on the platform.

Incident Response and Systems Forensics

This credential earner has the advanced competencies to investigate incident reports through digital forensics. The individual has the technical knowledge and practical skills to apply an appropriate incident response framework given an organization’s need, analyze digital forensics evidence, and explain the preservation of digital forensics evidence. The earner has practiced essential workplace skills and explored cybersecurity career pathways.

Information Architecture, Wireframing, and Prototyping Strategies

This credential earner has advanced skills to apply the strategies for information architecture (IA), wireframing, and prototyping to design a new digital product. The individual has the technical knowledge and practical skills to develop a taxonomy; select microcopy; create a low-fidelity wireframe and transition it to a high-fidelity wireframe; create an interactive prototype; and follow the steps to test and refine a prototype. The earner has practiced essential workplace skills.

Interactive Front-End Development

This credential earner has the advanced skills and ability to create MongoDB aggregation pipelines to perform complex data transformations, use aggregation pipeline stages, and integrate these pipelines into web applications using Mongoose in Node.js. The individual can structure queries, write clean, maintainable code using modern JavaScript techniques, apply advanced rendering techniques, and build a class component. The earner has practiced essential workplace skills.

Introduction to Data Analytics

Data roles, statistics, and visualization basics. Free IBM digital badge. No experience required. Perfect first step into data.

Introduction to Inferential and Descriptive Statistics

This credential earner has the advanced competencies to use statistics to make data-driven recommendations or decisions. The individual has the technical knowledge and practical skills to differentiate between common data distribution types, sample a population, calculate descriptive statistics with Microsoft Excel, and apply inferential statistical analysis to formulate data-driven recommendations. The earner has practiced essential workplace skills and explored data analytics career pathways.

Journey to Cloud: Envisioning Your Solution

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; & deploying a test pilot cloud application using IBM Code Engine.

Journey to Cloud: Orchestrating your Solution

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.

Journey to Cloud: Transforming your Culture

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.

Machine Learning for Data Science Projects

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 insurance co's face in fraud claims data.

Machine Learning Methods and Tools

This credential earner demonstrates knowledge of machine learning foundational concepts such as the roles of math and statistics, Python and its libraries, and machine learning algorithms. The individual has conceptual understanding of machine applications and can differentiate between supervised, unsupervised, and reinforcement learning.

Natural Language Processing

This credential earner has applied proficiency in NLP and its role in language understanding, sentiment analysis, and advanced text generation. The individual demonstrated their knowledge on how NLP systems are designed to interpret human language, extract sentiments from textual data, as well as practical experience in NLP techniques and models. The learner is familiar with the skills required for success in a related job role.

Navigation Design for User Engagement

This credential earner has the advanced skills to apply the principles of responsive design, strategies for gesture-based interactions, and principles of accessibility to enhance the user experience. The individual has the technical knowledge and skills to apply principles and practices to create responsive design; apply Gestalt principles; determine accessibility issues and solutions; and determine personalized navigation. The earner has practiced essential workplace skills.

Power up your AI skills for free

Fairness, transparency, explainability, and ethical AI frameworks. Free IBM digital credential. Critical for every industry.

Predictive Analytics Modeler Certificate

The badge earner has a proven expertise to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. The badge earner has demonstrated advanced proficiency on topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Predictive Analytics Modeler Certificate: Author

The badge earner has developed and published a university course to educate students on how to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. The course will teach students topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Predictive Analytics Modeler Certificate: Explorer

Through an instructor-led classroom, this badge earner has demonstrated the ability to forecast and predict future probabilities and trends, and analyze insights from your data, using IBM SPSS Modeler and IBM Watson Studio. This individual has demonstrated an understanding of topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Predictive Analytics Modeler Certificate: Instructor

Under guidance of an experienced instructor, this badge earner has demonstrated an ability to teach others forecasting and predicting future probabilities and trends, and analyzing insights from your data, using IBM SPSS Modeler and IBM Watson Studio. This individual has demonstrated proficiency teaching students topics such as data preparation, data mining, data collection & integration, nodes & streams, deriving & reclassifying fields, predictive models, and statistical analysis.

Prompt Engineering Essentials

Practical techniques for writing effective AI prompts for work tasks. Applies to ChatGPT, Gemini, Copilot, and Claude.

Responsive Web Page Development

This credential earner has the advanced skills and ability to create responsive web pages using CSS flex box and grid layouts. The individual can program responsive images and typography using CSS media queries in Bootstrap and can write efficient and readable codes using ES6 and modern JavaScript features. The earner has practiced essential workplace skills.

Security Operations and Management

This credential earner has the advanced competencies to assemble the components required for security operations and monitoring. The individual has the technical knowledge and practical skills to distinguish between standard security models, assign security operations center roles and tasks, perform network reconnaissance, manage endpoints, and monitor devices. The earner has practiced essential workplace skills and explored cybersecurity career pathways.

Security Operations Center in Practice

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.

Supervised Learning Methods

This credential earner has applied technical knowledge of supervised learning techniques such as classification and regression algorithms. This individual has the knowledge to apply various supervised learning techniques to real-world problems and effectively assess the performance of machine learning models. The learner is also familiar with the skills required for success in a related job role.

System and Network Security

This credential earner has the advanced competencies to design a secure network that includes systems and security devices. The individual has the technical knowledge and practical skills to secure a host operating system, update firmware, and enhance system architectures in various contexts. The earner has practiced essential workplace skills and explored cybersecurity career pathways.

Unsupervised Learning Methods

This credential earner has applied technical knowledge of principles and techniques of unsupervised learning. The individual has the knowledge of methods, applications, and challenges of unsupervised learning. The learner is also familiar with the skills required for success in a related job role.

User-centered and Story-based Design

This credential earner has the advanced skills to apply the concepts of user-centered design and story-based design during the discovery and plan phases of a new design project. The individual has the technical knowledge and practical skills to create a problem statement, user persona, and user story; determine competitive analysis, quantitative, and qualitative research methods; and improve emotional engagement for a digital product. The earner has practiced essential workplace skills.

User Experience Redesign

This credential earner has the advanced skills to redesign the UX of an existing digital product and conclude findings and recommendations in a UX report. The individual has the technical knowledge and practical skills to create a user journey map, site map, high-fidelity wireframe, and static prototype; design an effective IA for a redesign project; and determine visually consistent UI design mock-ups that adhere to branding requirements. The earner has practiced essential workplace skills.

Vulnerability Management

This credential earner has the advanced competencies to apply appropriate controls to a vulnerability of an organization. The individual has the technical knowledge and practical skills to justify threat mitigation tactics, categorize vulnerabilities by severity, evaluate the current state of organizational security, and analyze the impact of cybersecurity threats on systems and processes. The earner has practiced essential workplace skills and explored cybersecurity career pathways.

Web Development Fundamentals

HTML, CSS, and basic JavaScript for building web pages. Free IBM digital credential after completing the learning path.