On May 29, 2026, I walked into Virtual Height Pvt Ltd for our onboarding orientation. Walking into a real tech office as a 17-year-old developer always gives you a quick rush of adrenaline. You see the monitors, the desk setups, the glass partitions, and you wonder how much real building is actually going to happen here.

1. Meeting the Mentors & Workspace Ground Rules

The first hour was all about getting settled. We met the technical mentors, got our workspace guidelines, and went through the basic rules of the office. They introduced the lead trainer for our AI/ML cohort, Rashmi, who brings serious academic depth as a senior AI developer and PhD candidate.

2. Breaking Down the 2-Week Syllabus

Next, we opened up the curriculum roadmap. The plan is straightforward: start with core Python and command-line execution, move into prompt engineering and generative models, learn API communication with JSON, and wrap up Week 2 by building an interactive web chatbot powered by Flask and Hugging Face.

3. Setting Up the Laptop Sandbox

Before wrapping up, we got our machines ready: checking VS Code, verifying Python installations, and ensuring our terminal environments worked cleanly. Looking around the room, I could tell there was a wide range of experience levels in the cohort. Some people were opening a terminal for the first time, while I was already itching to hook up APIs and ship real code.

Key Learnings

  • Understanding the 2-week timeline and daily milestones for the AI/ML residency.
  • Navigating office rules, mentor expectations, and technical communication in a corporate workspace.
  • Setting up a clean local environment with VS Code and Python ready for Day 1.

Tools & Stack

  • VS Code
  • Python 3.11
  • Terminal
  • Curriculum Roadmap

Challenges Overcome

  • Getting through orientation logistics and waiting patiently for the hands-on coding to begin.

Task to be Performed

  • Attend the onboarding session and meet technical mentors.
  • Review the full 2-week syllabus from Python basics to full-stack AI chatbots.
  • Verify local IDE, terminal, and Python setup on my laptop.

Related Logs

Day 01

Day 01: First Day as an AI Intern, Python Basics, and a Wild Flex

Day 1 kicks off with lead mentor Rashmi. We break down AI vs ML vs Deep Learning, test Python terminal scripts, and demo my custom chatbot to the room.

Jun 01, 2026 • 4 min readRead Log ➔
Day 02

Day 02: Python If-Else, While Loops, and a Birthday Surprise

Tackling Python if-statements, match-case, and loops. Plus, solving a chocolate challenge and surprising our mentor with a custom birthday webpage.

Jun 02, 2026 • 4 min readRead Log ➔