AI ka chilla started now - Codanics

Course Content

00: Resources

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Links to All codes

01: Introduction to the course

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AI ka chilla started now

AI KA Chilla-2026 | Learn AI in 40 Days in 2026 #NewYear #newyear2026

Day-1: Introduction to the course and plans

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Start of the course and Happy New Year

Enroll in AI ka chilla LMS check your email

Discord community link for AI ka chilla

Meeting details for live classes and question answer sessions

Know your instructor

Plan of the course AI ka chilla learning map

Daily tasks for students Important

Questions No. 1: Non structured and structured data analysis

Question No. 2: Projects for different sectors for using AI

Question no. 3: How to pitch ourselves on linkedIn after the course?

Day-2: Python and other Software Installations + Integration

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Introduction to Python as programming language

Guido von Rossum creator of Python as programming language

Five software installation for the course

Create new user account for fresh installations and admin privileges

Install python with a fresh start from Zero

Install VScode with fresh start

VScode options while installations goo for future coding

Install git and gitBash in windows

Install miniconda for AI and python environments

gitBash – miniconda – vscode integration | step by step guide

miniconda and gitbash integration trouble shooting – Important

Day-3: Essentials (GitHub, GitHub student/teacher developer pack, Python and learning)

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GitHub account and GitHub student developer pack

GitHub account in VScode for synchronization

Tools to plan your tasks for longer run and learning methodology

Your first line of code | use python with three ways

Learn python crash course before we proceed

Three (3) way learning strategy | Tips to Master coding and learning by doing

We have covered so far…..

Trouble shooting and errors you might be having

Important login IDs and signups for AI journey

News and Newsletters for AI updates on regular basis

Mobile price vs. Your Laptop price Data analysis

Practice to use discord server private channel for the course

Question No. 1: What is the plan for learning ahead

Question No. 2: How can we post on LinkedIN from News?

Question No. 3: Data analysis plan from now on

Question No. 4: Industry vs. Academia for AI

Question No. 5: Integration of AI in industrial Tools

Day-4: Python Programming A-Z

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Learn python crash course before we proceed (This was also in the pre-requisite)

Jupyter notebooks (Introduction) | comments and use in python

Install Jupyter lab and Jupyter notebooks windows

Jupyter notebooks use in google colab and kaggle

Jupyter notebook in VScode

Why VScode is my favourite IDE (Integrated Development Environment)

Environments and conflicts | conda, mamba, venv (virtual) environments for installing softwares

GitHub copilot and Snake game development under 5 minutes

Networking is important for AI learning

Portfolio is important for AI Engineering journey these days

Free vs. Paid tools for portfolio buildup

Tools to build portfolio for AI engineering Journey

Question No. 1 from Students

Question No. 2 from Students

Question No. 3 from Students

Question No. 4 from Students

Question No. 5 from Students

Question No. 6 from Students

MarkDown in 72 minutes crash course

Day-5: Networking and Portfolio for AI or Data Science Students

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Networking using LinkedIN | Reading Material

Portfolio making | Understanding and building portfolio for Data Science and AI Students and Developers

Day-6: Git and GitHub | A-Z Guide using only command line | Beginner to Expert

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Git learning pathway in Two Steps

Git Bash installation (ignore if you already installed)

Verify your installation (Important)

Configure your local Git with username and email from gitHub

Create a local repository or folder

Initialize git to turn on track changes

git commands | git add and commit to stage and store changes

git log or history of commits

Restore a file to a specific commit

Push local repository to github account | Important

Day-7: Git, GitHub and VScode use as professionals

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VScode to initialize git repository using GUI

Local to online git repository on VScode and GitHub

Limit for file sizes on GitHub

Connect your current repo to GitHub with VScode

Work with online repositories of GitHub

Add collaborators in GitHub repositories | Work in a team

Day-8: Large Language Models (LLMs)

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01-What are Large Language Models and how do they work?

02-Trending List of LLMs and their use cases

03-Differences in LLMs vs. Fine Tuned LLMs vs. RAG based LLMs

04-Understanding RAG based Bots (Retrieval Augmented Generation)

05-Augmented Generation to improve LLM RAG and CAG

06-Earn USDs using RAG and CAG

07-Ten Lessons from an expert: Enterprise level RAG based apps

Day-9: Generative AI (GenAI) and Agentic AI

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01-What is Generative AI? Easy way to learn

02-GenAI applications for project development

03-GenAI for online earning by making projects and providing services

04-GenAI APIs to make tools and applications for earning

05-GenAI vs AgenticAI what is the difference?

06-Hundred Plus GenAI projects to earn online

Day-10: VScode + GitHub copilot and VIBE coding | Data and Data Components

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VScode IDE and Alternatives to GitHub Copilot for VScode

VIBE coding with IDEs and coding agents for fast programming

Product requirements document | PRD is important

Workflow for Product development and Finding a Niche

Data and Types of Data | Scales or levels of measurement

Question:1-RAG based Apps and future career

Define data in an easy way

Categorical vs. Numerical data | Qualitative vs. Quantitative Data

Text Data of Natural Language | NLP | Natural Language Processing

Data in spreadsheets and Important components of data

Day-11: Data, Data Gathering and Project based Product Development with Trending Topic

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Variables and Metadata about variables

Which data should we work on and why?

First hand information gathering about AI and Data Science

Google sheet for Data Gathering websites

Save this sheet in your pc for future

Valid and Authentic Resources to get data

Task for students | Use Pandas Profiling for example dataset

Important Notes for the Data Measurements and Scales

Day-12: Data and Pandas profiling | Exploratory Data Analysis (EDA)

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Plan to use pandas- or ydata- profiling for Automatic EDA

EDA project with pandas- or ydata- profiling for three different datasets

Automatic EDA in few seconds using data from kaggle.com

Day-13: Data Gathering and automatic EDA with Top Libraries

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Data Gathering Using Python APIs | wbdata, FAOSTAT, Eurostat, yfinance for Analysts & Scientists

Complete EDA with dTale library in Python in seconds with only 5 lines of code

Pandas- or ydata-profiling for time series analysis and automatic EDA

dtale library for automatic EDA for any data

Data Collection is important for EDA

Descriptive Statistics is important to learn for EDA

Inferential Statistics and Hypothesis Testing for comparison

Day-14: Do EDA in few seconds with these Python Libraries

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PyGwalker for Automatic Data Visualization and EDA

Sweetviz use in python comes with errors

Sweetviz is working fine here for automatic EDA

SKIMPY python library for data understanding

Dataprep python library for EDA of Data

LIDA python library for EDA and auto data analysis

Lida Huggingface take s alot of space

All codes for these libraries are here

Must Read this guide about EDA

EDA with LIDA and A book chapter about EDA to understand outputs of Lida

LIDA is working using API keys | I just Bought

Always close the server when you are running server based apps

Day-15: AI for Vibe Coding

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Pandas AI library for AI data analysis

Basic Data Knowledge is important before you use AI for Data Analysis

AI based IDE Cursor for APP development in Seconds

Antigravity is a great alternative to VScode to develop application using agentic AI in seconds

Day-16: Antigravity and Project with Agentic AI for Kaggle Data Grandmaster Ranking

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Google Antigravity is RAM Hungry

Google Antigravity IDE can work as a developer in 21000 PKR only for an year

Google One AI Enhanced plans for Antigravity

Kaggle Dataset Grandmaster guide A to Z in urdu using Google Antigravity AI Agents

Important Task Assignment for Students

AI Ka Chilla 2026

Information about AI Ka Chilla 2026 complete course content and registration is given here: https://codanics.com/aikachilla/

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