Generative AI for Software Development

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.

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  • Integrate Generative AI in Development: Learn to use generative AI tools like GitHub Copilot and ChatGPT from initial design to deployment, enhancing coding efficiency and creativity.

  • Optimize Your Code Quality: Improve your coding skills, whether you’re just starting out and need help with bug fixes or an experienced developer trying to break new ground.

  • Develop Innovative Solutions: Create advanced software solutions using AI for testing, debugging, dependency management, and documentation.

Why Enroll?

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, 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. This program is valuable for both solo developers looking to enhance their individual productivity and for team members aiming to integrate AI tools into larger software development workflows. You’ll learn skills that can streamline your personal coding process and improve collaboration in team environments.

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.

This program 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.

What you'll learn in this course

  • Configuration-Driven Development (CDD): Understand and implement CDD principles in software design.
  • Database Design and Implementation: Learn to design database schemas, implement CRUD operations, and optimize database performance.
  • Design Patterns: Explore and apply Gang of Four design patterns, including Singleton, Factory, Template Method, and Strategy.
  • API Integration: Work with external APIs like DALL-E for image generation.
  • Data Serialization: Implement file serialization techniques using JSON and Pickle.
  • LLM-Assisted Coding: Leverage Large Language Models as pair programming partners throughout the software development process.

Key technologies and concepts you’ll use

  • Python: The primary programming language used throughout the course
  • SQLAlchemy: ORM for database operations
  • SQLite: Lightweight database for prototyping
  • JSON: Data format for configuration files
  • Pickle: Serialization tool for complex Python objects
  • DALL-E API: For image generation tasks
  • Design Patterns: Singleton, Factory, Template Method, Strategy
  • LLMs (e.g., GPT-4): For code generation and problem-solving assistance

Level up with hands-on projects

  • Build a configurable image generation application using the DALL-E API, implementing CDD principles.
  • Design and implement an e-commerce database system with full CRUD functionality.
  • Develop a financial services application that demonstrates the use of various design patterns.
  • Create and query a social network database as part of a graded exercise.

These projects will allow you to apply concepts of software design, database management, and API integration while using an LLM as a coding assistant.


Build foundational knowledge

Pair-coding with an LLM to efficiently modify data structures for use in production and at big data scales.

Work with an LLM as a skilled software tester to identify bugs, create edge case tests, and update code to correct errors.

Implement a functioning local database from scratch, and partner with an LLM to think through software design issues and how to optimize for efficient, secure data access.

Instructor

Laurence Moroney

Laurence Moroney

Instructor Laurence Moroney has extensive experience working as an AI developer and evangelist at the world’s biggest software companies, including Google and Microsoft, in addition to teaching several of the highest rated courses with DeepLearning.AI.

Skills You Will Gain

  • LLMs (Large Language Models)
  • Generative AI
  • Machine Learning
  • Software Development
  • Software Engineering
  • 3 Courses
  • >15 hours
  • Introductory

Learner reviews from other DeepLearning.AI courses

What I loved about the “AI for Everyone” course was the comprehensive coverage of essential AI topics, guided by the expertise of Andrew Ng. The course provided a clear roadmap for initiating and managing AI projects, from project selection to implementation. It also offered insights into building AI teams and introduced the technical tools necessary for AI success

Selami A.
Software QA Manager

Simple enough to make it easy to understand in spite of being a complex topic, inspiring speaker. Time well spent, and a good fit with “lifelong learning” approach.

Chris C.
DeepLearning.AI Learner

What stood out to me about this course was the clarity and simplicity with which complex AI concepts were explained. The real-life examples and case studies helped me grasp the practical implications of AI in different sectors. The interactive nature of the course made learning engaging and enjoyable.

Adeel B.
DeepLearning.AI Learner

I am an educator and looking to incorporate AI into my career and help my colleagues to do the same. The course did a great job explaining AI concepts to people like myself who are just learning about any of this for the first time.

Krystal L.
DeepLearning.AI Learner

I took this course purely out of curiosity. After becoming aware of ChatGPT and Midjourney and then taking a short course on engineering the prompts to get the desired result, I became more intrigued with the topic of AI. I found this most helpful with regards to getting an idea about what AI actually is as opposed to what Hollywood conditioned me to believe it might be.

John S.
DeepLearning.AI Learner

Loved the content. It brought simplicity to the complex topic of AI, separated signal from noise, presented a great flow and covered the most relevant topics.

Andrew’s knowledge and passion about the subject of AI was amazing. It was inspiring to listen to him, even via recorded videos. Its really great to be in this era of technology, as it makes it possible to get access to the wealth of knowledge so easily.

Muhammad S.
DeepLearning.AI Learner

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