Lecture 1: VS Code, Miniconda, Ollama & AI Coding Tools Setup | Complete Beginner Guide

Welcome to Lecture 1 of our GenAI Beginner Series!
In this session, we cover everything you MUST install before starting Python, GenAI, or Agentic AI development.

This lecture is based on the live session from 26 November 2025.
📄 Reference: Meeting with Bipin Kumar.docx

Meeting with Bipin Kumar

🚀 What You Will Learn in This Lecture
⭐ 1️⃣ Installing VS Code (Essential IDE)

What is VS Code

How to install on Windows / Linux

Why developers prefer VS Code for GenAI & Python

⭐ 2️⃣ Installing Miniconda

What is Miniconda vs Anaconda

Why Miniconda is lightweight

Creating and managing Python environments

Must-have for data science & GenAI projects

⭐ 3️⃣ Installing Ollama (Run AI Models Locally for FREE)

What is Ollama?

How Ollama gives free access to LLMs (LLama, DeepSeek, Phi, Qwen, etc.)

Running ChatGPT-like models on your laptop

No API key required

Using local vision models, embeddings, and chat models

⭐ 4️⃣ Introduction to AI Coding Tools

Learn about modern AI-based coding platforms:

🔹 Google Anti-Gravity (Brand New Coding IDE)

Chat-based code generation

Automatic debugging

Writes Python, frontend, backend code

Efficient for GenAI workflows

🔹 Cursor IDE

AI-powered coding

Autocomplete, refactoring, multi-file editing

🔹 Claude Code (Anthropic)

Natural language coding

Terminal-based agent for automation

🔹 Other Tools Explained

WindSurf

Cloud Code

HuggingFace Models

Open-source LLM availability

⭐ 5️⃣ LLM Ecosystem Overview

You’ll also learn about all major AI models available today:

ChatGPT

Google Gemini

DeepSeek

Perplexity

Anthropic Claude

Meta LLaMA

Mistral

Grok (Elon Musk)

Qwen

And 22+ lakh models available on HuggingFace!

🎯 Who Should Watch This Lecture?

Total beginners in Python

Students preparing for GenAI

Developers setting up their environment

Anyone curious about AI coding tools

Freshers preparing for industry-ready workflows

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Stay tuned — Python basics and GenAI programming coming in the next lecture.

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