Did you know that AI-powered code completion tools can significantly accelerate coding tasks and enhance code quality?
This short course was created to help software engineers, developers, and coding enthusiasts use Generative AI for Code Completion.
By completing this course, you'll be able to:
- Understand the role of AI in code completion.
- Gain familiarity with basic and advanced usage of Generative AI tools for coding, such as ChatGPT and GitHub Copilot.
- Apply AI-driven code completion tools in real-world coding scenarios to enhance productivity and code quality.
By the end of this course, you will be able to:
- Apply Large Language Models (LLMs) for both basic and advanced code completion to enhance coding efficiency and accuracy.
- Evaluate Generative AI tools to enhance productivity, creativity, and problem-solving capabilities in software development workflows.
This course is unique because it bridges AI technology with practical coding skills, equipping you to leverage AI-driven code completion tools effectively.
To be successful in this project, you should have basic programming knowledge and familiarity with coding.
Overview
Syllabus
- Generative AI for Code Completion
- In this course, you will leverage AI powered completions tools to accelerate coding tasks, reduce errors, enhance code quality. You will also be able to assess and apply best practices in AI-driven code completion within their software development projects.
- Lesson 1: Fundamentals of Generative AI in Code Completion
- This lesson introduces the basic principles of generative AI, focusing on its application in code completion. You will explore the impact of this technology on software development and how it can improve efficiency and code quality.
- Lesson 2:
- This lesson dives deeper into practical applications, evaluating various AI tools and demonstrating their implementation in real-world coding environments.
Taught by
Dev Ramesh
