Online Course – Certified Professional Certificate in Artificial Intelligence Modeling for Software Development from Google, DeepLearning.AI

Leverage AI while developing software. Improve your development skills, boost your career, and stay competitive in this fast-paced industry.

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Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Deep understanding of creative artificial intelligence technologies
  • Using Large Linguistic Models (LLMs) for Software Development
  • Improving productivity when working with LLMs as code partners
  • Identifying bugs and creating end-to-end tests using LLMs
  • Functional local database implementation and collaboration with LLMs in software design
  • Developing practical skills in real projects
  • Obtaining a certificate of proficiency from DeepLearning.AI

What you will learn in the course

Courses for which the course is suitable

  • Software developer
  • Software Engineer
  • Software tester
  • Information Security Specialist
  • Systems Analyst
  • Application developer
  • Data Engineer
  • Technology Project Manager
  • Artificial Intelligence Developer
  • AI solutions developer
# Certificate of Proficiency – A series of 3 courses Artificial Intelligence is revolutionizing software development by improving and streamlining traditional coding practices. In the DeepLearning.AI Certificate of Proficiency course, you will learn from Lawrence Moroney, former head of AI at Google, who will guide you through a comprehensive path to understanding emerging AI technologies and their use in practical software development. As AI-powered tools are set to transform the industry, with Gartner predicting 70% adoption by platform engineering teams by 2027, this program will support you in learning these technologies at every stage of your career. It will show you how to use Large Language Models (LLMs) to leverage your experience and knowledge to become faster and more productive workers. You will be introduced to a new paradigm for software development, where LLMs become essential members of your development team, acting as code partners, software testers, security experts, and knowledgeable peers. Go beyond theory and apply your new skills to real projects. This hands-on approach ensures that you graduate with practical expertise to leverage generative artificial intelligence and improve your development workflow. When you complete the program, you will receive a certificate of proficiency from DeepLearning.AI, validating your proficiency in GenAI’s new skills and tools and helping you advance in your career. ## Practical Learning Project: – Shared code with LLM to efficiently transform data structures for production use and large data scales – Work with LLM as a skilled software tester to identify bugs, create end-to-end tests, and update code to fix errors – Implementing a functional local database from scratch, and collaborating with LLM to think about software design issues and how to optimize secure and efficient data access.

Details of the courses that make up the specialization

Introduction to Creative Artificial Intelligence for Software Development

Course 1 • 8 hours

Course Details

What will you learn?

  • Integrate creative AI into development. Learn to use AI tools from initial design to deployment, increasing your efficiency and creativity.
  • Improve the quality of your code. Whether you’re a beginner who needs help fixing bugs or an experienced developer who’s breaking new ground.
  • Rapid experimentation. Using LLMs can accelerate your ability to prototype and test new features, so you can get back to shipping your code quickly.
  • Learn how LLMs work. Once you understand how machine learning systems work, you can use them more effectively to support your work as a developer.

Skills you will gain

  • Category: Good Software Development Methodologies with LLMs
  • Category: Language Model Role Assignment
  • Category: Designing data structures for real-world deployment at scale
  • Category: Code Analysis with LLM
  • Category: Code Fair with LLM

AI-powered team software engineering

Course 2 • 13 hours

Course Details

What will you learn?

  • Take advantage of LLMs to improve team collaboration in software development projects
  • Collaborate with AI to produce comprehensive tests and clear documentation for your code
  • Manage and remediate complex software dependencies with AI

Skills you will gain

  • Category: Debugging and dependency conflicts with LLMs
  • Category: Writing Comprehensive Software Tests with LLMs
  • Category: Creating Clear and Effective Documentation with LLMs
  • Category: Implementing automated testing frameworks
  • Category: AI-powered software dependency management

Artificial Intelligence-Driven Software and Systems Design

Course 3 • 11 hours

Course Details

What will you learn?

  • Design and implement software architectures based on AI insights
  • Create and optimize databases from scratch using AI-driven techniques
  • Implement advanced design patterns to improve code quality and maintainability

Skills you will gain

  • Category: AI-guided software application design
  • Category: Data orchestration and configuration-based development
  • Category: Database Query Optimization with AI
  • Category: Implementing Databases from Scratch with LLMs
  • Category: Implementing Gang of Four Design Patterns with LLMs