AI-Powered Programming in Python

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
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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

Learning Objectives

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

£690

1-Day Instructor-Led Training
Hands-On Training
After-Course Instructor-Coaching

Would you like to take this course as a team?

Include dates with afternoon start times

Feb 3 9:00 AM - 4:30 PM GMT

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Mar 17 1:00 PM - 8:30 PM GMT

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Oct 12 9:00 AM - 4:30 PM BST

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Oct 27 1:00 PM - 8:30 PM GMT

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Nov 25 2:00 PM - 9:30 PM GMT

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Dec 8 9:00 AM - 4:30 PM GMT

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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.

AI-Powered Programming in Python

AI-Powered Programming in Python Training Delivery Methods

AI-Powered Programming in Python Training Information

AI-Powered Programming in Python Training Outline

Learning Objectives

Live Instructor £690

AI-Powered Programming in Python Training FAQs

Do I need prior experience with AI or machine learning to take this course?

How will this course help me in my day-to-day programming tasks?

Will there be any hands-on projects or exercises?

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