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, 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.

• 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.

• 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

• 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.