Amazon Q for beginners: Software Development with GenAI
This Guided Project was created to help software developers seamlessly integrate Amazon Q into their workflow, enhancing their coding efficiency and accuracy....
About This Course
This Guided Project was created to help software developers seamlessly integrate Amazon Q into their workflow, enhancing their coding efficiency and accuracy. In this 1-hour long project-based course, you will learn how to set up Amazon Q in Visual Studio Code, utilize its chatting function, enhance the AI assistant by indexing your entire workspace, and leverage its capabilities to interact with AWS tools. You'll also apply these techniques to a new workspace, performing code explanations, suggestions, and utilizing Amazon Q's scanning feature to identify and fix errors and security concerns. To achieve this, you will create a fully functional development environment powered by Amazon Q by working through practical scenarios and real-world coding challenges. This project is unique because it offers hands-on experience with cutting-edge AI tools directly integrated into your development environment. To succeed in this project, you should have a basic understanding of coding, software development and familiarity with using IDEs.
Topics Covered
Frequently Asked Questions
How much does Amazon Q for beginners: Software Development with GenAI cost?
Amazon Q for beginners: Software Development with GenAI costs $9.99. Check the course page for current pricing and available discounts.
Who teaches Amazon Q for beginners: Software Development with GenAI?
Amazon Q for beginners: Software Development with GenAI is taught by Coursera, Coursera.
What skill level is Amazon Q for beginners: Software Development with GenAI for?
This course is designed for beginner learners.
Similar Courses
HTML & CSS Coding for Beginners: Build your own portfolio!
Chris Dixon
Maya for Beginners: Animation
Lucas Ridley
JavaScript for Beginners (includes 6+ real life projects)
Kalob Taulien
Beginner Bootstrap 4: Hand code beautiful responsive websites fast
Chris Dixon