In this Skill Certificate from DeepLearning.ai, you’ll learn from Laurence Moroney, 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.

Learn practical prompt engineering and pair programming with LLMs like ChatGPT to enhance your software development workflow. Through hands-on projects, you'll gain techniques for using AI to help with common development tasks - from writing and testing code to creating documentation and managing dependencies. This program teaches you how to effectively prompt LLMs to assist with everything from basic coding tasks to implementing complex design patterns and database architectures.

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.

This course is designed to enhance your skills by integrating AI chatbots as pair programmers in your development process. You’ll learn about how large language models (LLMs) work and how this general-purpose technology can be applied to common software development tasks to help boost productivity, creativity, and support you in your tasks as a developer. 

By the end of this course, you will be able to:
- Understand the differences between machine learning and traditional software development
- Describe how large language models generate text
- Prompt an LLM to assist in the tasks that make up the software developer role
- Guide an LLM to complete a task in a specific way by writing detailed prompts and iterating to improve output
- Leverage the depth of software development knowledge encoded in an LLM by prompting it to assume specific job roles or personas
- Write code quickly using an LLM as a pair-coding partner
- Analyze code for efficiency, security, and performance using an LLM

This course assumes you have a background in software development, but are new to using LLMs as part of your development process. By knowing how machine learning systems work, and having an understanding of how they can be applied in software development, you’ll be able to use them more effectively to support your growth and work as a developer or engineer.

Introduction to Generative AI for Software Development

In this course, you'll elevate your software development skills by learning how to leverage AI in collaborative team environments. You'll discover how to use large language models (LLMs) to streamline testing processes, create comprehensive documentation, and manage complex dependencies.

By the end of this course, you will be able to:

- Utilize LLMs to generate and implement various types of software tests, from exploratory to security testing
- Create clear, useful documentation that follows best practices and language-specific conventions
- Use AI to explore and manage software dependencies, including resolving conflicts and addressing security issues
- Debug common dependency-related problems with AI as your pair-programmer

These skills will enhance your ability to work effectively in development teams, improve code quality, and streamline the software development lifecycle. By learning AI-assisted collaboration techniques, you'll become a more valuable asset to any development team and be better prepared to tackle complex, real-world software engineering challenges.

Team Software Engineering with AI

This final course in the skill certificate focuses on applying AI to high-level software engineering tasks. You'll work with LLMs to design and implement sophisticated software systems, optimize code using established design patterns, and create efficient databases from scratch.
By the end of this course, you will be able to:

- Use AI to suggest and implement software architectures based on natural language requirements
- Build a configurable application that interacts with external APIs like DALL-E
- Design and implement a complete database system for an e-commerce platform
- Optimize database queries and analyze code for security risks with AI assistance
- Refactor existing applications using Gang of Four design patterns, guided by AI insights

These advanced skills will enable you to tackle complex software engineering projects with greater efficiency and creativity. You'll learn to leverage the power of AI to make informed design decisions, implement robust systems, and optimize code at scale. 

This course will prepare you to lead innovative software projects and adapt to the evolving landscape of AI-augmented software development.

Generative AI for Software Development

About the Program

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Academic Excellence

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