Generative AI for Software Development is open for enrollment!
Skills:
AI Systems Design80%
Key Takeaways
Introduces generative AI for software development and its applications
Full Transcript
I'm Lawrence 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 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 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 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 coures 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 [Music]
Original Description
Enroll now: https://bit.ly/4gAPuuO
“Generative AI is not just a tool for creating content faster. It's a paradigm shift in how you can approach problems and solutions in software development. It offers a way to automate and enhance creativity, reducing the time from concept to product. Whether you're building enterprise applications or indie games, understanding generative AI will give you a significant edge.” – Laurence Moroney, AI luminary and instructor for Generative AI for Software Development
This new skill certificate, launching today, equips you with practical AI tools and techniques to add to your software development skillset. Through three comprehensive courses, you'll learn to leverage the potential of generative AI across the entire development lifecycle.
Introduction to Generative AI for Software Development:
- Use LLMs for code analysis, dramatically reducing critical bugs
- Optimize algorithms with AI, turning O(n^2) solutions into O(n log n) efficiency
- Generate AI-powered test suites that uncover elusive edge cases
Team Software Engineering with AI:
- Create exhaustive test suites for complex scenarios, including concurrency and security issues
- Develop self-updating documentation systems that evolve with your code
- Implement AI-assisted performance profiling to supercharge your applications
AI-Powered Software and System Design:
- Explore Configuration-Driven Development for adaptive application creation
- Optimize complex database queries and system architectures
- Refactor monolithic applications into microservices with AI guidance
Throughout the program, you'll work on real-world projects, applying AI to solve practical software development challenges. You'll learn to use AI not just as a coding assistant, but as a collaborative partner in the entire development process - from initial design to testing and optimization.
This course is designed for developers at all levels, from students building their foundation to experienced prof
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