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  1. Job Roles
  2. >
  3. Computer Systems Engineers/Architects

Computer Systems Engineers/Architects

What does a professional in this career do?

Design and develop solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions.

In this job you will...

  • Communicate with staff or clients to understand specific system requirements.
  • Investigate system component suitability for specified purposes, and make recommendations regarding component use.
  • Provide customers or installation teams guidelines for implementing secure systems.
  • Direct the analysis, development, and operation of complete computer systems.
  • Direct the installation of operating systems, network or application software, or computer or network hardware.
  • Monitor system operation to detect potential problems.
  • Identify system data, hardware, or software components required to meet user needs.
  • Perform ongoing hardware and software maintenance operations, including installing or upgrading hardware or software.
  • Verify stability, interoperability, portability, security, or scalability of system architecture.
  • Research, test, or verify proper functioning of software patches and fixes.
  • Configure servers to meet functional specifications.
  • Collaborate with engineers or software developers to select appropriate design solutions or ensure the compatibility of system components.
  • Design and conduct hardware or software tests.
  • Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements.
  • Document design specifications, installation instructions, and other system-related information.
  • Perform security analyses of developed or packaged software components.
  • Provide technical guidance or support for the development or troubleshooting of systems.
  • Define and analyze objectives, scope, issues, or organizational impact of information systems.
  • Establish functional or system standards to address operational requirements, quality requirements, and design constraints.
  • Develop system engineering, software engineering, system integration, or distributed system architectures.
  • Provide advice on project costs, design concepts, or design changes.
  • Evaluate current or emerging technologies to consider factors such as cost, portability, compatibility, or usability.
  • Develop or approve project plans, schedules, or budgets.
  • Communicate project information through presentations, technical reports, or white papers.
  • Train system users in system operation or maintenance.
  • Complete models and simulations, using manual or automated tools, to analyze or predict system performance under different operating conditions.
  • Develop efficient and effective system controllers.
  • Develop application-specific software.

Skills You Will Gain

Software and Hardware Development
Systems Architecture and Design
Systems Integration
Systems Performance Optimization
Technical Documentation and Training

Representative Journeys

Foundations of Python and Data Science
Foundations of Python and Data ScienceMatt Harrison, Woody Lewenstein, Theodore Petrou | Data Science | 32 hrs and 40 mins

Launch Journey

python-foundations-tools-and-techniques
Python Foundations, Tools and Techniques
Matt HarrisonSkills: EditorsREPL
getting-started-with-pandas
Getting Started with Pandas
Matt HarrisonSkills: JupyterPandas
practical-statistics-for-business-and-data-science
Practical Statistics For Business and Data Science
Woody LewensteinSkills: Data ScienceData VisualizationProbabilityStatistics
master-data-analysis-python
Master Data Analysis with Python
Theodore PetrouSkills: Data AnalysisData SciencePandasPandas DataFramePython

Journey Completed

Foundations of Artificial Intelligence and Machine Learning
Foundations of Artificial Intelligence and Machine LearningPraba Santhanakrishnan, Minerva Singh, Pramod Gupta | Data Science | 29 hrs and 35 mins

Launch Journey

python-data-science
Introduction to Python for Data Science
Praba SanthanakrishnanSkills: Data ScienceNumPyPandasPython FundamentalsSupervised LearningUnsupervised Learning
practical-artificial-intelligence-ai-with-the-pytorch-framework-in-python
Practical Artificial Intelligence (AI) With the PyTorch Framework in Python
Minerva SinghSkills: AIDeepLearningNetworksNeuralProgrammingPython
essentials-of-python-for-machine-learning-and-artificial-intelligence
Essentials of Python for Machine Learning and Artificial Intelligence
Pramod GuptaSkills: NumPySciPy

Journey Completed

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SOME OF THE INSTRUCTORS AND EXPERTS SUPPORTING YOU ON THESE JOURNEYS

Getting Started with Pandas

Getting Started with Pandas

Python Foundations, Tools and Techniques

Python Foundations, Tools and Techniques

Practical Statistics For Business and Data Science

Practical Statistics For Business and Data Science

Master Data Analysis with Python

Master Data Analysis with Python

Essentials of Python for Machine Learning and Artificial Intelligence

Essentials of Python for Machine Learning and Artificial Intelligence

Practical Artificial Intelligence (AI) With the PyTorch Framework in Python

Practical Artificial Intelligence (AI) With the PyTorch Framework in Python

Introduction to Python for Data Science

Introduction to Python for Data Science