Lawrence Moroney announces a new DeepLearning.AI specialization on generative AI for software development. The three-course program teaches how large language models work and how to use them to write algorithms, choose architectures, test code, and handle deployment. No prior AI background required.
Lawrence I'm Lawrence Moroney and today I'm excited to announce the launch of a new specialization, generative AI for software development from DeepLearning AI. You've probably heard about or seen for yourself the incredible ability of AI language models to generate code in Python, JavaScript, C and many other languages. If you give a large language model a short prompt about what problem you're trying to solve, or if you supply it with just a few lines of code, the LLM can understand the context of the task that you're trying to complete and it can provide helpful, well formatted functional code quickly. The ability of AI to write code has led to a lot of talk about the future of software development as a career. Some developers who've assumed that building software applications offered financial security and plentiful job opportunities are nervous that AI is going to eliminate the need for their skills in the future. Fortunately, I think the future remains really bright for software developers. In fact, I think AI tools offer an amazing opportunity for developers like you to work far more efficiently, to spend much more time building and less time debugging, and you're able to craft better, more performant applications and tools. Indeed, you can use large language models to help you with more than just writing better code. They have deep knowledge of computer science and software development. Best Practices Working with an AI by your side, it's like having an expert colleague available day or night. And this this can allow you to be a better and more effective developer. And the new skills required to partner most effectively with these AI tools are exactly what you'll be working with in this three Core Specialization this specialization will teach you the fundamentals of how large language models work. And then it will show you how to pair code with an LLM to write better algorithms and make architecture choices suitable for the scale and the context of of your particular problem. You're going to use AI to grease the wheels of collaboration by writing great testing software, crafting clear documentation and effectively managing dependencies, making life easier not just for you, but for everyone around you as code moves around your team. And you're going to leverage an LLM to better understand the full workflow of building and launching applications from the design phase to through data serialization and management. This is going to allow you to get to the right solution faster and to build and deploy better products. You don't need any background in machine learning or AI to take these courses, and you don't need to be working on AI applications. The skills you learn in this course are relevant and useful for all software developers and engineers, no matter what language you code in or what applications you might be building. So if you're interested in learning the essential skills that will be critical in the AI powered future of software development, I do hope you'll take this course.
