This course guides you through using Github Copilot, a coding assistance and code generator. Not only will Copilot allow you to write code faster, but help you better understand what your code is doing.
As AI becomes more and more far reaching, developers will need to not only know how to utilize AI tools to help them in developing applications, but also how to integrate AI into applications they are building.
This course delves into the creation and utilization of synthetic data and datasets specifically tailored for training and enhancing large language models (LLMs). You'll explore various techniques for generating synthetic data, gain insights into effective dataset construction, and delve into advanced applications like code refactoring, debugging, and AI agent development, all empowered by the capabilities of LLMs.
AI Agents perceive their environment and take actions in order to complete goals/tasks. These software based or physical entities perceive their environment using sensors, then process information using algorithms/models, and then take action. This course will introduce you to AI Agents and cover what you need to know to work with them.
After completing the Generative AI courses within the 201 path (Introduction to AI Agents, Synthetic Data & Datasets for LLMs, Adv. Applications & Integrations for Developers, AI Paired Programming with GitHub Copilot), please complete the following capstone and assessment to get your certification. As well, please fill out the survey to provide feedback for this course!
