HunterX

Earners of the globally-recognized Project Management Professional (PMP)® have demonstrated their extensive knowledge and mastery of project management concepts, tasks, and techniques that are applicable across virtually any industry and methodology. Earners are able to speak and understand the global language of project management. Individuals that earn this certification have demonstrated the knowledge and skills needed to initiate, plan, execute, monitor and control, and close a project.

The earner has acquired knowledge of applying Enterprise Design Thinking and its value. As a Practitioner, the badge earner finds opportunities to try it out in their every day work.

The badge earner is able to write their own Python scripts and perform basic hands-on data analysis using IBM's Jupyter-based lab environment.

This badge earner has the core skills in Python such as critical data structures, programming fundamentals and experience with core libraries for data science. They can apply this knowledge to work with data and develop applications for data science. The individual also has sufficient Python knowledge to work with Python libraries.

This badge earner has an understanding of the possibilities and opportunities that data science, analytics and big data bring to new applications in any industry.

This badge earner has a basic understanding of Big Data concepts and their applications to gain insight for providing better service to customers. The earner understands that Big Data should be processed in a platform that can handle the variety, velocity, and the volume of data by using components that require integration and data governance.

This badge earner has developed an understanding of Blockchain principles and practices and how they can be applied within a business environment. They have an understanding of Blockchain and distributed ledger systems, the important concepts and key use cases of Blockchain and how assets can be transferred in a Blockchain network.

This badge holder understands the basics of cloud technology and is able to describe cloud platforms and models including IaaS, PaaS, SaaS, Public, Private and Hybrid Multi clouds. The badge earner is familiar with essentials of cloud applications and terms like Virtualization, VMs, Containers, Object Storage, Microservices, Serverless, Cloud Native, and DevOps. The individual has also gained hands-on experience at creating a Cloud account and provisioning services on IBM Cloud.

This badge earner understands the essential steps necessary to analyze data in Python using multi-dimensional arrays, manipulating DataFrames in pandas, using SciPy library of mathematical routines and performing machine learning using scikit-learn. This includes hands-on demonstration using Jupyter notebook in JupyterLab Python tools.

This badge earner is able to relate how the IBM Cloud enables the different service (IaaS, PaaS, SaaS) models and different deployment (Public, Hybrid, Private) models of cloud computing. They know how to: access the IBM Cloud using various tools and interfaces; discover appropriate IBM Cloud products or services available for specific functionality; articulate the different ways IBM Cloud delivers services to developers and operational teams; and summarize core groups of available services.

The badge earner demonstrates an understanding of Supervised vs. Unsupervised Learning, applications of different types of machine learning models, and how to build and evaluate machine learning models.

This badge earner has developed an understanding of Blockchain principles and practices and how they can be applied within a business environment. They have an understanding of Blockchain and distributed ledger systems, the important concepts and key use cases of Blockchain and how assets can be transferred in a Blockchain network.

This badge earner understands the essential steps used in data science business and research problem solving. This includes problem definition, collecting and analyzing data, building relevant models and understanding model deployment results.

This badge earner understands how Python libraries such as Matplotib, Seaborn and Folium are used for the creation and customization of graphical representation outputs for both small and large-scale data sets.

This badge earner has a solid understanding of data science methodologies, and tools. The individual also has a hands-on appreciation of programming languages to use in data science tasks.

Attaining this badge demonstrates the ability to provide a repeatable and consistent approach to developing IT architectures via a common thought process that enables Architects to communicate and work together based on a common set of artifacts. The audience for this badge is primarily Architects and other IT professionals acting in the role of an Architect.

This badge earner is able to build and run a container image and understands Kubernetes architecture. They know how to: write a YAML deployment file; expose deployment as a service; manage applications with Kubernetes; use ReplicaSets, auto-scaling, rolling updates and service binding; deploy services; and reap the benefits of OpenShift, Istio and other key tools.

This badge earner is able to code in Python for data science. They can analyze and visualize data with Python with packages like scikit-learn, matplotlib and bokeh.

The badge earner has demonstrated an understanding of the creation of Chatbots by leveraging Watson Conversation and their deployment on WordPress.

This badge earner demonstrates an understanding of descriptive statistics, normal distribution, standard deviation, variance, correlation, and best practices for data visualization.

This badge is awarded to an inventor for their first application filed with the U.S. Patent & Trademark Office. This badge encourages first-time inventors to join IBM’s patent process.

The badge earner has demonstrated the ability to design, build, analyze, and improve chatbots. The individual has also proven their end-to-end skills by deploying chatbots on a WordPress site.

This badge is awarded to inventors whose creativity and technical knowledge has resulted in patents, and/or publications totaling 12 points. Varying number of points are accumulated for publications, regular patent applications, and regular patents applications that were rated with a Search-1 rating due to the value and/or breadth of the invention. This badge is issued to an inventor once for the first plateau attained.

An individual certified with the IBM Cloud Advocate credential can explain the essential characteristics, history, and trends of cloud computing. They can describe the business case for and identify the services, deployment models, components, and architectures underpinning cloud computing. Further, an individual with this certification can describe the services and offerings available on the IBM Cloud.

This badge earner has acquired core skills for using the R programming language with practical use-cases. This includes Understanding R syntax, assigning variables and performing simple operations using R's vector data structures. Demonstrated understanding of other key areas includes arrays and data frames, conditional statements, debugging, and reading and writing data in R.

This badge earner has a firm understanding of AI, its applications and use cases, and is familiar with IBM Watson AI services and APIs. They can create AI driven chatbots and have gained practical Python skills to work with AI. They can use IBM Watson AI services and APIs to design, build & deploy AI-powered applications on the web. They are proficient in applying AI and building AI solutions.

The badge earner demonstrates conceptual knowledge of microservice architecture. The individual is able to do the following: describe characteristics of microservices; contrast and compare microservice and monolithic architectural styles; explain the complexity shift to the operational environment when using a microservices architectural style; describe a DevOps environment; describe a service mesh; and analyze and decompose a monolithic application into microservices.

This badge earner is able to demonstrate an understanding of Machine Learning concepts and techniques in order to solve a business problem. The individual is able to interpret exploratory statistics and identify appropriate features and machine learning algorithms to use. In addition, the earner is able to use suitable metrics to understand an algorithm’s performance and effectively communicate those results.

This badge earner demonstrates knowledge about building user interfaces with IBM's open-source Carbon Design System React components. This badge earner demonstrates the ability to install Carbon React components in their project, use and populate these components with data, build custom components, and deploy a project to IBM Cloud.

This badge earner has a foundational understanding of Watson Machine Learning. The individual can articulate typical use cases for machine learning, and how to create a variety of different machine learning models.

An IBM Experienced Developer understands client needs and applies knowledge to develop high quality solutions that deliver business value to the client

The successful badge earner understands the IBM Demos platform, including how to search, leverage, and share demo assets on ibm.com/demos. The earner is familiar with the various videos, product tours, and hands-on labs available on the IBM Demos platform.

The badge earner understands the collaborative nature involved in the efficient practice of data science to address enterprise problems and leverage open source tooling. The badge earner has hands-on experience in creating explainable models that can recognize and avoid bias while tracking and measuring outcomes from AI across its lifecycle using Watson OpenScale.

The badge earner understands essential concepts related to the implementation of secure microservices applications in a multi-cloud environment. The badge earner has hands-on experience with deploying applications on Kubernetes.

This badge earner has demonstrated a committed effort to contribute to IBM developer activities. This individual has proven communication and technical skills. The earner has a vibrant network across IBM's labs and knows how to successfully work in tandem with these IBM teams.