Low-Code/No-Code and Generative AI

Course Objectives:

• Understand the core principles of LCNC and generative AI.

• Identify use cases for LCNC and generative AI in various business scenarios.

• Explore popular LCNC platforms and their functionalities.

• Learn how to leverage generative AI for text, code, or image generation.

• Build a basic understanding of integrating LCNC platforms and generative AI features.

Course Length: 1 Day

Course Structure:

• Introduction:

  • Traditional development vs. LCNC approach

  • Benefits and limitations of LCNC platforms

  • Introduction to generative AI and its core applications

  • Real-world use cases of LCNC and generative AI across industries

  • Live Demo: Exploring a popular LCNC platform interface

• Low-Code/No-Code Platforms:

  • Understanding the LCNC landscape (brief overview of popular platforms)

  • Core functionalities of LCNC platforms (drag-and-drop interface, data management)

  • Interactive Activities: Explore sample applications built with LCNC platforms

  • Discussions: Identify potential use cases for LCNC in various business scenarios

• Generative AI Demystified:

  • Different types of generative AI (text generation as primary focus)

  • Understanding the capabilities and limitations of generative AI tools

  • Introduction to a popular text generation platform/API

  • Interactive Exercises: Experiment with a text generation tool (pre-generated examples)

• Combining LCNC and Generative AI:

  • Identifying opportunities to use generative AI within LCNC applications

  • Case Studies: Analyze how LCNC and generative AI have been combined in real-world projects

  • Group Discussions: Brainstorm potential applications for integrating LCNC and generative AI

• Wrap-up and Future Outlook:

  • Security considerations for LCNC and generative AI tools (brief overview)

  • The impact of LCNC and generative AI on democratizing application development

  • Course Wrap-up: Resources, best practices, and Q&A