Raoul Harris
  • Introduction
  • Technical books
    • Data engineering with Alteryx
    • Deep learning in Python
    • Generative AI in action
    • Generative deep learning
    • Outlier analysis
    • Understanding deep learning
    • Understanding machine learning: from theory to algorithms (in progress)
    • Review: Deep learning: foundations and concepts
  • Technical courses
    • Advanced SQL Server masterclass for data analytics
    • Building full-stack apps with AI
    • Complete Cursor
    • DataOps methodology
    • DeepLearning.AI short courses
    • Generative AI for software development
      • Introduction to generative AI for software development
      • Team software engineering with AI
      • AI-powered software and system design
    • Generative AI with large language models
    • Generative pre-trained transformers
    • IBM DevOps and software engineering
      • Introduction to agile development and scrum
      • Introduction to cloud computing
      • Introduction to DevOps
    • Machine learning in production
    • Reinforcement learning specialization
      • Fundamentals of reinforcement learning
      • Sample-based learning methods
      • Prediction and control with function approximation
  • Non-technical books
    • Management skills for everyday life (in progress)
  • Non-technical courses
    • Business communication and effective communication specializations
      • Business writing
      • Graphic design
      • Successful presentation
      • Giving helpful feedback (not started)
      • Communicating effectively in groups (not started)
    • Illinois Tech MBA courses
      • Competitive strategy (in progress)
    • Leading people and teams specialization
      • Inspiring and motivating individuals
      • Managing talent
      • Influencing people
      • Leading teams
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On this page
  • Introduction to generative AI
  • Pair coding with an LLM
  • Leveraging an LLM for code analysis
  1. Technical courses
  2. Generative AI for software development

Introduction to generative AI for software development

Introduction to generative AI

High-level overview of the course, as well as a basic introduction to generative AI.

Pair coding with an LLM

Some tasks that you might want to use an LLM for:

  • Documentation

  • Writing tests

  • Managing dependencies

  • Security analysis

  • Code critique

You might also want it to play a role, such as a mentor that explains any code that it generates.

Remember to test the code carefully.

Leveraging an LLM for code analysis

This section had some discussion of data structures leading into a practical exercise where you solve some problems on graphs. Nothing too challenging, but having a programming exercise where you can test your solutions against unseen test cases is quite nice.

Last updated 8 months ago