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AI-Powered Programming in Python

Course 4535 Advantage Plan Course

  • Duration: 1 day
  • Language: English
  • Level: Intermediate

Explore how AI can revolutionize your Python programming workflow. This hands-on course introduces you to AI-powered tools and techniques for generating, debugging, and optimizing code. Learn to seamlessly integrate AI into your development process to boost productivity while maintaining quality. Topics include AI-assisted code, debugging, testing, documentation, and best practices to balance AI automation with human expertise. Unlock the potential of AI to elevate your coding skills and streamline software development tasks.

AI-Powered Programming in Python Training Delivery Methods

  • Online

  • Upskill your whole team by bringing Private Team Training to your facility.

AI-Powered Programming in Python Training Information

  • In this course, you will:

    • Learn to leverage AI tools to generate, debug, and optimize Python code, saving time on routine tasks.
    • Use AI to improve code readability, adhere to best practices, and identify errors with greater efficiency.
    • Seamlessly integrate AI into your coding process, from development to testing and documentation.
    • Gain hands-on experience with AI coding tools, prompt engineering, and code review techniques tailored for Python.
    • Simplify the process of generating accurate and professional documentation for complex projects.
    • Understand the limitations and best practices of AI to ensure effective and ethical use in programming.
    • Position yourself as a forward-thinking developer by mastering the integration of AI in Python programming.

  • Prerequisites

    • Basic Python Knowledge: Familiarity with Python programming, including variables, data types, loops, functions, and basic object-oriented concepts.
    • Programming Experience: Some experience writing and debugging Python code in an IDE.

  • Exam Information

    None.

AI-Powered Programming in Python Training Outline

Introduction to AI-Assisted Coding

  • What is AI?
  • AI applications in software development:
    • Code
    • Debugging
    • Testing
    • Documentation

Setting Up and Using AI Coding Tools

  • Installing and integrating tools with your IDE
  • Code completion

Prompt Engineering for Code 

  • Creating and refining effective prompts
  • Prompting for basic code
  • Creating classes, handling data structures, and building simple projects

Debugging

  • Debugging and error handling
  • Refining and optimizing code
  • Improving readability and adhering to best practices

Code Review and Testing

  • Explaining functions, methods, and modules
  • Generating and reviewing test cases
  • Debugging and optimizing test cases

Generating Documentation with AI

  • Generating docstrings, comments, and external documentation files
  • Producing accurate and clear documentation for complex functions or modules

Best Practices and Limitations of AI in Python Programming

  • Best practices for prompting and interacting with AI tools
  • Recognizing and addressing limitations
  • Balancing automation with human insight
Commercial Pricing

10 455 kr

  • 1-Day Instructor-Led Training

  • Hands-On Training

  • After-Course Instructor-Coaching

Would you like to take this course as a team?
  • Guaranteed-to-Run - You can rest assured this class will not be canceled. Delivery format is subject to change – please call Customer Service if you have any questions.
    aug 4 15:00 - 22:30 CEST
    Virtual
  • aug 31 15:00 - 22:30 CEST
    Virtual
  • sep 29 15:00 - 22:30 CEST
    Virtual
  • okt 27 14:00 - 21:30 CET
    Virtual
  • dec 8 9:00 - 16:30 CET
    Virtual
  • dec 8 10:00 - 17:30 CET
    Virtual
  • jan 13 15:00 - 22:30 CET
    Virtual
  • apr 12 15:00 - 22:30 CEST
    Virtual
  • jun 23 9:00 - 16:30 CEST
    Virtual
  • jun 23 10:00 - 17:30 CEST
    Virtual

Scroll to view additional course dates

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AI-Powered Programming in Python Training FAQs

No prior AI or machine learning experience is required. Familiarity with Python programming and basic development workflows is recommended.

You’ll learn how to use AI-driven features such as code, debugging assistance, and automated documentation, which will speed up your coding process and help improve code quality.

Absolutely! We’ll provide real-world coding examples and exercises so you can practice integrating AI tools directly into your Python workflow.

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