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Automating Real-World Tasks with Python

A hands-on, integrative final course that ties together Python automation tools into a cohesive workflow—an effective capstone for aspiring IT automation professionals.

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

What will you learn in Automating Real-World Tasks with Python Course

  • Use Python libraries like PIL, Requests, Flask, and Django to automate tasks and build simple web services.

  • Serialize and transmit data, handle REST APIs, and work with JSON to communicate with web services.

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  • Generate PDFs, send emails with attachments via SMTP, and implement logging and exception handling in robust scripts.

  • Combine OS automation, web interaction, PDF generation, and container tools into cohesive real‑world automation workflows.

Program Overview

Module 1: Setup & Image Manipulation

⏳ ~1 hour

  • Topics: PIL library, container basics (VS Code & Docker), PIL-based image scaling and format conversion.

  • Hands-on: Qwiklabs: scale/convert images via PIL.

Module 2: Web Services & APIs

⏳ ~3 hours

  • Topics: Web services, RESTful API concepts, Flask framework, HTTP methods, constructing APIs.

  • Hands-on: Build a Flask app to process files and interact with REST APIs.

Module 3: Output Generation & Communication

⏳ ~4 hours

  • Topics: Logging, exception handling, Python email library (SMTP), PDF generation (tables & graphics), DevOps monitoring basics (SLIs/SLOs).

  • Hands-on: Generate & email PDFs containing structured data; practice robust script logging.

Module 4: Integrative Project & Career Readiness

⏳ ~5 hours

  • Topics: End-to-end automation: combining image conversion, email, health-check scripting, logging, and error handling.

  • Hands-on: Final project: automate catalog update with PDF reports and notifications; Qwiklabs-based assessment.

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Job Outlook

  • Rounds out a six-course certificate equipping learners for roles like IT Automation Engineer or Junior DevOps support.

  • Provides hands-on automation skills widely applicable in sysadmin, DevOps, and scripting-heavy IT roles.

9.7Expert Score
Highly Recommendedx
This practical, tool-driven course effectively consolidates Python scripting for real-world automation use cases, making it an excellent finale to the series.
Value
9.4
Price
9.5
Skills
9.7
Information
9.8
PROS
  • Students gain actual experience with a variety of automation libraries: PIL, Flask, email, PDF, logging & DevOps tooling.
  • Final project integrates multiple components, simulating a realistic IT workflow.
  • Well-paced modules with lab support cater to beginner-to-intermediate learners in IT.
CONS
  • Assumes completion of prior courses—beginners should start with earlier modules.
  • Projects focus on labs rather than polished production pipelines; further customization needed.

Specification: Automating Real-World Tasks with Python

access

Lifetime

level

Beginner

certificate

Certificate of completion

language

English

FAQs

  • Basic Python knowledge is recommended.
  • Guided labs introduce libraries like PIL, Flask, and SMTP.
  • Beginners can follow step-by-step examples for real-world tasks.
  • Prior completion of foundational courses enhances understanding.
  • Focuses on practical integration of multiple Python tools.
  • Labs cover image scaling, web services, and REST APIs.
  • Hands-on exercises include PDF generation and automated email sending.
  • Logging, exception handling, and DevOps monitoring are introduced.
  • Final project combines multiple tasks into one workflow.
  • Skills directly applicable to IT automation and junior DevOps roles.
  • Prepares for IT Automation Engineer or Junior DevOps roles.
  • Enhances scripting skills for system administration tasks.
  • Supports career growth in automation-heavy IT roles.
  • Demonstrates ability to integrate multiple Python libraries in workflows.
  • Provides portfolio-ready projects for job applications.
  • Final project integrates image conversion, PDFs, emails, and logging.
  • Combines all learned skills into one cohesive workflow.
  • Uses Qwiklabs for guided assessment.
  • Prepares learners for practical automation tasks in IT settings.
  • Encourages independent exploration beyond lab exercises.
  • Total duration is ~13 hours across four modules.
  • Each module includes hands-on labs with practical exercises.
  • Beginners may need extra time to practice library usage and workflows.
  • Focused learners can complete it in 2–3 days.
  • Flexible pacing allows integration with work or other learning commitments.
Automating Real-World Tasks with Python
Automating Real-World Tasks with Python
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