This course is part of Generative AI for Developers Specialization.
Dive into the forefront of coding evolution with "Generative AI - Your Personal Code Reviewer." This comprehensive course equips you with the skills to leverage generative AI for effective code assessment and enhancement. You'll explore advanced techniques for debugging, adding meaningful comments, refactoring existing code, and generating code for data cleaning and machine learning tasks. Through practical applications and real-world examples, you'll master prompt engineering strategies to optimize your AI interactions while understanding potential pitfalls and ethical considerations. By combining theoretical knowledge with hands-on practice through labs and assignments, you'll develop a thorough understanding of how AI can revolutionize your approach to code review. Perfect for developers seeking to enhance their coding practices with cutting-edge AI technology, this course transforms you from a traditional coder to an AI-augmented developer ready for the future of programming.
Instructors:
English
10 languages available
What you'll learn
Master using generative AI to identify and resolve common coding errors
Leverage AI to add meaningful comments and improve code readability
Learn effective prompt engineering strategies for optimal code generation
Apply generative AI for code refactoring and optimization
Utilize AI tools for exploratory data analysis and data cleaning
Develop AI-assisted machine learning models
Skills you'll gain
This course includes:
1.6 Hours PreRecorded video
3 assignments
Access on Mobile, Tablet, Desktop
Subscription access
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There is 1 module in this course
This comprehensive module explores the transformative potential of generative AI in the code review process. Students learn to apply AI tools for debugging existing code, adding meaningful comments, and refactoring code for improved efficiency. The course covers practical applications like using generative AI for exploratory data analysis, feature conversion, and machine learning model development. Through hands-on labs and real-world examples, students master prompt engineering techniques to optimize AI interactions while understanding ethical considerations and potential pitfalls. By the end of the module, learners gain practical skills to leverage generative AI as a powerful assistant in their coding workflow, enhancing productivity and code quality.
Generative AI and Code Review
Module 1 · 15 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Generative AI for Developers Specialization
Instructor
Leading the Future of AI Education with Comprehensive Course Portfolio
Fractal Analytics has established itself as a premier provider of cutting-edge technology education through its extensive course offerings on Coursera, spanning artificial intelligence, data science, and business strategy. The curriculum encompasses sixteen specialized courses, including foundational programs like "Python for Data Science" and "Structured Approach to Problem Solving," alongside cutting-edge offerings in Generative AI with courses such as "GenAI for Everyone," "Generative AI Essentials," and "Coding with Generative AI." The platform demonstrates its commitment to responsible technology implementation through courses like "Responsible AI - Principles and Ethical Considerations" and "Responsible AI in the Generative AI Era," while also addressing human aspects of technology through "Behavior Architecture - Understanding Human Behavior" and "Human Decision Making and its Biases." Advanced technical courses include "Introduction to Vertex AI" and "Quantum Computing For Everyone," complemented by practical business applications through "Data Storytelling," "Generative AI for Consultants," and "Successful AI Strategies: A CEO's Perspective." This comprehensive portfolio reflects Fractal Analytics' dedication to providing well-rounded education in emerging technologies while emphasizing ethical considerations and practical applications.
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