Generative AI for Software Developers

Harnessing AI Creativity to Elevate Software Development


5 Days (4 hours per day)


Basic to Intermediate Level

Design and Tailor this course

Customization available for enterprises only

Edit Content

Generative AI has revolutionized various fields including software development. This latest course offering aims to empower software developers with the knowledge and skills to leverage Large Language Models (LLMs) and Azure OpenAI service to create innovative and efficient solutions.

Through hands-on exercises and practical examples, participants will learn how to utilize Generative AI techniques to enhance their software development projects. Whether you’re aiming to streamline workflows, enhance creativity, or drive efficiency, this course offers invaluable insights and practical skills to help you develop better and feature-rich solutions.

Upon completion of this course, participants will be able to:

  • Understand the fundamentals of Generative AI and its applications in software development.
  • Implement Large Language Models (LLMs) using Python for various tasks.
  • Utilize Azure OpenAI services to integrate Generative AI capabilities into software applications.
  • Apply Generative AI techniques to automate and optimize software development workflows.
  • Develop innovative solutions using Generative AI to address real-world software development challenges.

Edit Content

Software developers interested in incorporating Generative AI techniques into their projects to enhance creativity, productivity, and efficiency.

Edit Content
  • Overview of generative AI and its significance in software development
  • Introduction to Large Language Models (LLMs) and their applications
  • Hands-on: Setting up Python environment for generative AI development
  • Exploring pre-trained LLMs for text generation tasks
  • Understanding the architecture of Large Language Models (LLMs)
  • Fine-tuning pre-trained LLMs for domain-specific tasks
  • Handling text data preprocessing and tokenization
  • Practical exercise: Building a text generation model using LLMs
  • Overview of Azure OpenAI services for generative AI
  • Setting up Azure environment for AI development
  • Exploring Azure OpenAI APIs for text generation and manipulation
  • Integrating Azure OpenAI services into software applications
  • Transfer learning techniques for generative AI models
  • Conditional text generation with LLMs
  • Implementing text summarization and paraphrasing using generative AI
  • Case study: Developing a chatbot using advanced generative AI techniques
  • Real-world applications of generative AI in software development
  • Best practices for deploying generative AI models in production environments
  • Ethical considerations and challenges in using generative AI in software development
  • Final project: Building and deploying a generative AI-powered software application
Edit Content
  • Basic understanding of Python programming language
  • Familiarity with software development concepts
  • No prior experience in AI required
  • Knowledge of Azure Cloud will be help


we'd love to have your feedback on your experience so far