Professional Certificate GitHub Actions

Name: Professional Certificate GitHub Actions
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The Professional Certificate GitHub Actions course is a vital program for developers and IT professionals seeking to automate software workflows. This course gains significance with the increasing industry demand for efficient and automated development processes.

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AboutThisCourse

Learners acquire essential skills in creating, configuring, and managing GitHub Actions workflows for various software development tasks. The course emphasizes hands-on experience, enabling learners to work on real-world projects and scenarios. It covers key topics such as version control, continuous integration and deployment, automated testing, and collaboration tools. By the end of the course, learners will have a solid understanding of GitHub Actions and how to apply them to streamline development processes, enhancing their career prospects in a competitive industry.

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CourseDetails

• Introduction to GitHub Actions
• Setting up GitHub Actions
• Creating custom workflows
• Using actions for continuous integration (CI)
• Utilizing actions for continuous deployment (CD)
• Versioning and packaging with GitHub Actions
• GitHub Actions security best practices
• Troubleshooting and debugging GitHub Actions
• Advanced GitHub Actions features

CareerPath

In the UK, data-related roles are on the rise, offering competitive salary ranges and skill demand. Here's a 3D pie chart visualizing the most sought-after data positions, based on industry relevance and job market trends: 1. **Data Scientist**: A key player in the data world, using statistical and machine learning techniques to extract valuable insights from large datasets. 2. **Data Analyst**: Transforming complex data into actionable insights, helping businesses make informed decisions. 3. **Data Engineer**: Building and maintaining data systems, pipelines, and databases, ensuring data is accessible and usable. 4. **Data Analytics Consultant**: Providing expert advice to businesses, optimizing their analytics capabilities and decision-making processes. 5. **Data Visualization Developer**: Crafting engaging and interactive visualizations to help users better understand and explore data. 6. **Business Intelligence Analyst**: Bridging the gap between data and business strategies, providing insights for better performance and growth. 7. **Machine Learning Engineer**: Developing, deploying, and maintaining machine learning models, integrating them into production environments. Explore these in-demand roles in the data realm, and take advantage of the growing opportunities awaiting professionals like you.

EntryRequirements

BasicUnderstandingSubject
ProficiencyEnglish
ComputerInternetAccess
BasicComputerSkills
DedicationCompleteCourse

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FastTrack GBP £140

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AcceleratedLearningPath

ThreeFourHoursPerWeek
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StandardMode GBP £90

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FlexibleLearningPace

TwoThreeHoursPerWeek
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PROFESSIONAL CERTIFICATE GITHUB ACTIONS

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London School of International Business (LSIB)

AwardedOn

05 May 2025

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