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2. Certified software development professional - Wikipedia

   en.wikipedia.org/wiki/Certified_Software...

   To become a Certified Software Development Professional (CSDP) candidates had to have four years (initially six years) of professional software engineering experience, pass a three-and-half-hour, 180-question examination on various knowledge areas of software engineering, and possess at least a bachelor's degree in Computer Science or Software ...

3. DevOps - Wikipedia

   en.wikipedia.org/wiki/DevOps

   This is an accepted version of this page This is the latest accepted revision, reviewed on 5 January 2025. Set of software development practices DevOps is a methodology integrating and automating the work of software development (Dev) and information technology operations (Ops). It serves as a means for improving and shortening the systems development life cycle. DevOps is complementary to ...

4. Red Hat Certification Program - Wikipedia

   en.wikipedia.org/wiki/Red_Hat_Certification_Program

   The certification has a heavy focus on automation using Ansible. To achieve the RHCE certification, the student must pass the RHCSA exam, EX200 , and in addition EX294 , a 4-hour hands-on lab exam. Red Hat recommends preparing for the exam by taking courses in Linux essentials (RH124), Linux administration (RH134), and Linux networking and ...

5. List of professional designations in the United States

   en.wikipedia.org/wiki/List_of_professional...

   Certified Sales Engineer: CSE: Certified by the National Association of Sales Engineers (NAASE) via submission online [129] Certified Scheduling Technician: CST: AACE International: Certified Senior Advisor: CSA: Society of Certified Senior Advisors Certified Systems Engineering Professional: CSEP: International Council on Systems Engineering ...

6. Software development process - Wikipedia

   en.wikipedia.org/wiki/Software_development_process

   In software engineering, a software development process or software development life cycle (SDLC) is a process of planning and managing software development.It typically involves dividing software development work into smaller, parallel, or sequential steps or sub-processes to improve design and/or product management.

7. MLOps - Wikipedia

   en.wikipedia.org/wiki/MLOps

   MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...