This microlearning course, "Coding with Generative AI," offers an introductory exploration of the fundamental concepts of Generative AI with a specific focus on its application for coders. This approximately 3-hour course provides an understanding of the underlying principles of generative AI and how to effectively use it in coding applications.
Throughout the course, participants will learn about neural network architectures, generative models, and the use of generative AI to generate codes quickly and efficiently. The curriculum covers implementing functions and classes, procedural code into object-oriented code, fixing syntax errors, and code corrections using generative AI. Furthermore, it delves into the fundamental differences between exact search and semantic search, providing valuable insights for coding enthusiasts.
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Get Started / More InfoThis course comprises two modules, covering the essentials of Generative AI for coding enthusiasts. Gain insights into generative models, neural network architectures, and applying generative AI to solve real-world coding challenges.
The first module, "Course Introduction," provides a comprehensive overview of Generative AI and its relevance in coding. Participants will delve into generative models, explore neural network architectures, and learn about the trustworthiness of generated code. Additionally, they will gain insights into the nuances of GenAI in coding, ensuring a strong foundation for the subsequent module.
In the second module, "Generate code with GenAI," participants will focus on leveraging generative AI for coding efficiency. They will learn to generate code more quickly and efficiently, transform procedural code into object-oriented code, and troubleshoot syntax errors using generative AI. The module also addresses potential pitfalls and ethical considerations, providing a holistic understanding of coding with Generative AI.
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