Coding with Generative AI

This microlearning course (approximately 3 hours) provides an introductory exploration of the fundamental concepts of Generative AI with a specific focus on its application for coders. You will gain an understanding of the underlying principles of generative AI and learn how to effectively use it in your coding applications. By the end of this course, you will be able to, discuss the Fundamental Concepts of Generative AI, and apply generative AI tools and techniques to solve real-world coding challenges. You'll learn the fundamentals of neural network architectures, generative models, and the use of generative AI to generate codes quickly and efficiently. You will also learn to implement functions and classes, as well as about procedural code into object-oriented code, fixing syntax errors and code corrections using generative AI. You will also learn about the fundamental differences between exact search and semantic search. This is the first course in the series of courses, where you will learn about the nuances of coding using generative AI. The course is suited for Generative AI enthusiasts, GenAI Engineers, AI Engineers, Data Scientists, Data Engineers, and Solution Architects. To be successful in this course, you should have a curious mind, an understanding of programming languages, especially Python, and a basic knowledge of generative AI technologies and platforms.

• Course Introduction
• The module sets the stage for an engaging exploration of the symbiotic relationship between coders and Generative AI. It provides a comprehensive understanding of how Generative AI operates, exploring its capabilities and applications in coding contexts. By the end of this module, you will have a comprehensive grasp of how to harness the potential of Generative AI to enhance code quality.
• Generate code with GenAI
• With this comprehensive module, learn to expedite code development through efficient techniques. Dive into the intricacies of array manipulation. Elevate your programming skills by mastering the implementation of functions and classes, gain a keen eye for identifying and rectifying syntax errors, ensuring the integrity and quality of your code. And explore the nuances of semantic search with ChatGPT, distinguishing it from traditional search methods like StackOverflow's exact search.