Generative AI for Software Development

Generative AI is transforming software development by enhancing and augmenting traditional coding practices.

In this Skill Certificate from DeepLearning.AI, you’ll learn from Laurence Moroney, Chief AI Scientist at VisionWorks Studios and former AI lead at Google, as he guides you through a comprehensive pathway to understand and apply generative AI technologies in real-world software development.

As AI-powered coding tools are set to transform the industry, with Gartner predicting 70% adoption by platform engineering teams by 2027, this course will support you in learning these technologies at all stages of your career. It will show you how to use LLMs to leverage your own experience and knowledge to become a faster, more productive worker. You will be introduced to a new paradigm for software development, where LLMs become invaluable members of your development team by acting as pair coding partners, software testers, security experts, and knowledgeable colleagues.

Go beyond theory and apply your new skills to real-world projects. This hands-on approach ensures you graduate with the practical expertise to leverage generative AI and augment your development workflow.

When you complete the program, you’ll earn a Skill Certificate from DeepLearning.AI, demonstrating your aptitude with the latest GenAI skills and tools to help you advance in your career.

Data-informed decision-making is now essential across all levels, from everyday consumer choices to global policy-making. As reliance on data grows, so does the need for professionals who can analyze and interpret it effectively. The Data Analytics Professional Certificate, led by industry leader Sean Barnes, equips you with the skills to manage the entire data lifecycle, from defining problems to delivering insights.

Whether you’re a software engineer exploring data, a business analyst extracting insights, or a STEM graduate building a data-centric career, you’ll gain the foundation to excel in the data economy. This course series blends classical statistics with AI-assisted workflows, perfect for aspiring data professionals or experienced practitioners.

In Data Analytics Foundations, you’ll gain proficiency in the essentials of data analysis, visualization, and communication. You’ll learn to calculate and interpret descriptive statistics, create compelling visualizations, and leverage large language models to augment your analysis.

Building on this foundation, Applied Statistics for Data Analytics goes deep into the statistical underpinnings of data analytics. Practical exercises, like developing forest fire prevention strategies, will help you demonstrate impacts in the real world.

Unique to this program is its integration of new AI tools into the analytics workflow. You’ll learn to use large language models as a thought partner, accelerating tasks like simulation modeling, formula debugging, and data visualization.

The skills you’ll gain are in high demand, and with data science roles projected to grow 36% from 2023 to 2033, developing these skills puts you at the forefront of a data-centric world.