Dinesh’sLearning Lab
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Learning path / 6 published lessons

Application engineering projects

Study application-sized designs spanning APIs, media processing, browser state and cloud integration. Use the projects to connect a user interaction with its resource and failure lifecycle.

What you’ll work toward

  • CI deploys successfully but startup says gunicorn not found. Which boundary failed?
  • Explain the version and execution boundaries before applying the examples
  • The asuid.www TXT record validates, but www does not open. What is missing?
  • Stored preference is system, operating system is dark, then the OS switches to light. What changes?
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Completion is stored on this device only. Nothing is locked; start where it makes sense.

Start this path

Before the first lesson

  • Basic programming and HTTP; follow the chapter or cloud-track sequence

These are the starting lesson’s prerequisites, not requirements for every advanced topic below.

How to practise this subject

Trace a success and failure path, bound untrusted input and background work, and design cleanup for partial completion. Name the SDK and service assumptions that still need integration testing.

  1. 01beginner · 7 min

    Leveraging CURSOR and Azure Services for Rapid Web Deployment

    Accelerating Development and Deployment Cycles with AI Tools

  2. 02beginner · 5 min

    Developing a Astrology webapp version 1.

    Initial version 1 of Astro app hosted at astroyuga.com

  3. 03beginner · 6 min

    Improving the UI of this blogging app - V2

    Changing the UI layout and improving the experience by modernizing the UI with custom styling

  4. 04beginner · 5 min

    AI Voice chatting to help with Customer support use-cases

    Using current speech augmented LLMs (SpeechLLMs) with realtime voice modality to understand user issues and to provide support and solutions.

  5. 05intermediate · 13 min

    Automating audio generation

    From text , generate audio files and publishing them to webapp

  6. 06beginner · 5 min

    Audio to Video Generation Using Replit AI and Deploy as an Azure Webapp

    Tool to convert an uploaded audio mixed with an image and generate a video format with image and uploaded audio in the video format.