Python ka chilla Build AI Agents
Course Content
00_Resources
Books
Crash Course and Pre-requisite
Course Introduction and House Keeping
- 14:32
Join Discord Community for this course
03:55Zoom Meetings and Way of communications for this course
01:31
Python for Agentic AI
- 06:46
Introduction to AI Agents
06:44Questions from Audience and answers
02:19
AI Agents and Global Market
Learn from Python Crash Course
02:20Global Market for AI Agents and product idea for million dollar startups
49:32AI Agents vs. Agentic AI
00:29
Python from Scratch
01-Create new user before using Python and installing softwares
05:2702-Install Python and VS Code on Windows
07:1003-Install Git and Miniconda
06:3704-Remove previous installation accounts
01:3005-Remove your old user and install a new one
00:1706-Install Zoom and Discord
02:3407-Install MS OneNote to write notes
05:0508-Important signups and login for AI
05:4509-Resolve errors and bugs using this tool
03:1810-Sync VS Code with GitHub across devices
06:0411-Essential VS Code Extensions for Development
02:1112-GitHub Copilot is free to use like this as a coding agent
03:1613-GitHub student and teacher developer pack to use copilot pro
02:3514-VScode extensions are there check the list
02:1415-Python variables and core data types
03:5216-Rules for naming python variables
03:1817-Core data types in Python
07:1418-Core data types of python in details with better understanding
05:5519-Python coding to understand core data types
08:1920-User input function and core data types
05:0421-Task for students to learn from crash course
01:1622-Variables & Core Data Types in Python | Live Coding & Examples
34:5623-Control flow statements in Python if elif and else
10:5824-Conditional and logical operators in python
06:1725-Control flow statements if elif and else coding example in python
08:0026-for loops in Python are important
11:0127-Example of for loops in python
01:2128-Students task and assignment
00:13
Trouble Shooting and ways to handle issues
Learning via the LMS: How to log in?
02:10Troubleshooting Tips for the Course
01:44How to resolve bugs using snipping tools and ChatGpt or Kimi?
05:43Use a specific user on your PC for Python coding
01:58
AI and Types of AI
01-What is AI? Explained with desi-style examples
14:3802-Types of AI by capability function and approach
17:4503-How AI Works? and Benefits of AI
04:5804-Learn AI like kids
03:3305-Assignment Task
01:3406-Important Announcement
01:4907-GenAI LLMs and Agentic AI
02:1308-Introduction to Generative AI
06:1609-Introduction to LLMs
06:4110-Google AI news are important for all
03:2211-What is Agentic AI
06:3112-Differences Between GenAI, LLMs, and Agentic AI
03:3713-Real World Cases for GenAI LLMs and Agentic AI
03:2414-Key Take aways for GenAi LLMs and Agentic AI
02:5015-Uses of AI in Real Life and Unknown Killer Robots: A Netflix Documentary
03:4916-Gemini is LLM or Multimodel for image generation
01:4817-n8n vs LangGraph with Graph theory playlist
01:5118-Question about how to use a separate user for Python coding
01:0419-Assignment task for students
02:0020-What are Large Language Models and how do they work?
16:3221-LLM vs Fine Tuned LLM and RAG based LLM a complete guide
18:3822-Trending List of LLMs and their use cases
11:3223-Understanding RAG Retrieval Augmented Generation
12:2224-Augmented Generation to improve LLM RAG and CAG
25:2625-How to earn online using RAG and CAG bases applications and tools
23:3626-What is Generative AI? In depth Understanding
16:4727-GenAI applications and real use cases
04:0128-GenAI for online earning | Earn using AI projects
26:2029-GenAI APIs to make tools and applications for earning
15:4930-GenAI vs AgenticAI what is the difference
13:5831-Hundred Plus GenAI projects to earn online
06:03
AI News during the course
AI news of this week 5th July 2026
02:31
Prompt Engineering
01-LLMs are important to learn Prompt Engineering theory behind LLMs and prompt engineering
18:3802-Prompt engineering and its importance in this era
17:4303-Key elements of prompt engineering
05:2704-Weak vs. strong prompts examples
11:0305-The parts of developing a great prompt
25:5406-Context and Tools for LLMs
10:3107-RAG vs. Skills vs. MCP for LLMs
25:4908-PDF vs. Docs Files and LLMs: Best Use Cases for RAG-Based Apps
02:5909-Loop Engineering introduction with in depth analysis
14:2710-Prompt Engineer to Loop Engineer
03:51From Data Scientist to AI Engineer | The Shifting Tech Job Landscape (2026) 🚀🤖
02:02
Markdown Language
MarkDown in 72 minutes | Crash Course
01:11:24
Statistics and Mathematics for Data Understanding
Statistics for Data Analytics and Data Science | Crash Course
14:15:36Mathematics for Data Science and Machine Learning | Crash Course
15:15:51
AI News
Weekly AI News: Latest LLM Models & New Scientific Research Tools (17 July 2026)
12:13
Online and Local LLMs for practical Coding
01-Using online LLMs for coding in Python to develop anything
19:4802-Local LLMs in your pc using Ollama
14:3203-Benefits of Using Local Models
03:10What we have learned so far
01:5104-LLMs in the market which are open source and proprietary models
17:2405-Which LLM is the best one and why should we buy the subscription
27:3006-Claude Code vs. ChatGPT Which one should you buy
01:1007-Open-source models to be used in your local machines
01:4308-Which IDE is best to use for developers of python
06:1109-Claude subscription is good for startups
01:3810-Task for students
03:47
Data Gathering, pre-processing and Data Visualization in Python
Data Gathering Using Python APIs | wbdata, FAOSTAT, Eurostat, yfinance for Analysts & Scientists
01:15:30Master Data Preprocessing, Wrangling, and Cleaning for Machine Learning Projects!
04:54:16Data Visualization Masterclass in Python | Matplotlib, Seaborn & Plotly for Beginners to Advanced
05:27:54
Machine Learning Complete Course
Machine Learning in Python | Complete Crash Course | Python | Scikit-learn | (Part-1/2)
11:44:19Machine Learning in Python | Complete Crash Course | Python | Scikit-learn | (Part-2/2)
07:44:44
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