Python Programming with GitHub Copilot Course Overview

Python Programming with GitHub Copilot Course Overview

Unlock the potential of Python programming with the GitHub Copilot course. This 8-hour training is designed to elevate your coding skills with AI-powered tools.

### Learning Objectives:
- Install and explore GitHub Copilot on IDEs like PyCharm or VS Code.
- Master Python basics and advanced coding with Copilot’s guidance.
- Troubleshoot and optimize code effectively using AI support.
- Conduct unit testing, Code reviews, and interact with databases seamlessly.
- Implement Telemetry and advanced analytics for better performance.

Practical applications include automating software development, enhancing code quality, and integrating AI for efficient problem-solving.

Join us to revolutionize your programming journey!

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USD

575

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Course Fee 575
Total Fees
575 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request

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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Sure, I'd be happy to provide the prerequisites for the Python Programming with GitHub Copilot course. Here they are:


Prerequisites for Python Programming with GitHub Copilot Course:

  • Basic Understanding of Programming Concepts:


    • Familiarity with fundamental programming principles such as variables, loops, and conditionals.
  • Introductory Knowledge of Python:


    • Experience with basic Python syntax and structures, such as functions, data types, and error handling.
  • Basic Experience with Development Environments:


    • Prior exposure to an Integrated Development Environment (IDE) like PyCharm or Visual Studio Code (VS Code).
  • GitHub Account:


    • An active GitHub account to utilize GitHub Copilot's features effectively.

Having these foundational skills will enable you to get the most out of the course and confidently tackle the training modules. We look forward to helping you enhance your Python programming skills with GitHub Copilot!


Target Audience for Python Programming with GitHub Copilot

Introduction:


The Python Programming with GitHub Copilot course equips professionals with advanced coding, AI integration, and database management skills using GitHub Copilot over an 8-hour session.


Target Audience & Job Roles:


  • Software Developers
  • Data Scientists
  • AI/ML Engineers
  • Python Programmers
  • SRE (Site Reliability Engineers)
  • DevOps Engineers
  • QA Engineers
  • IT Consultants
  • Technical Leads
  • Full-Stack Developers
  • Backend Developers
  • System Architects
  • Research Scientists
  • Automation Engineers
  • Database Administrators


Learning Objectives - What you will Learn in this Python Programming with GitHub Copilot?

1. Introduction to Course's Learning Outcomes and Concepts Covered This course provides an in-depth understanding of Python programming and the integration of GitHub Copilot, covering everything from basic setup to advanced code generation, testing, and database management with AI enhancements.

2. Learning Objectives and Outcomes

  • Installing GitHub Copilot on Python IDEs: Acquire knowledge on how to install GitHub Copilot on development environments like PyCharm and VS Code.
  • Exploring GitHub Copilot with Python: Gain familiarity with GitHub Copilot's features tailored for Python development.
  • Hands-On Practice: Python Basics with Copilot: Develop core Python coding skills through interactive coding sessions enhanced by Copilot.
  • Advanced Python Code Generation: Learn to use GitHub Copilot powered by GPT-3.5 Turbo to generate complex Python scripts.
  • Troubleshooting Python Code with AI: Understand techniques for identifying and correcting errors in Python code using AI tools.
  • Optimizing Python Code and Documentation: Enhance the performance of Python code and automate documentation processes.
  • Python Unit Testing and Code Reviews: Generate Python unit tests and conduct thorough code reviews using AI enhancements.
  • Python Database Interaction and Customization: Manage databases and

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