Python & Gen AI Basics: Transition from 0 to Hero in 15 days

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16:48:58

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1 - Introduction

1 -Introduction to Python.mp4

58:32

2 -Introduction to Python - Contd.mp4

01:05:02

Files.zip

2 - Python - Control Structures and Data Structures

1 -Control Structures.mp4

58:04

2 -Data Structures.mp4

01:05:01

3 -Data Structures (contd..).mp4

58:16

Files.zip

3 - Functions, modules and packages

1 -Functions and Modules.mp4

01:01:12

2 -Packages.mp4

01:08:56

Files.zip

4 - Files, Python Project and Review of topics

1 -Files, Python Project and Review of topics.mp4

01:16:36

Files.zip

5 - Introduction to Generative AI

1 -Text Generation Tools and LLMs.mp4

01:11:09

2 -Code Generation and Prompt Engineering.mp4

01:12:50

Files.zip

6 - Advanced Generative AI Concepts

1 -Image Generation recognition.mp4

01:03:42

2 -Running large language models (LLMs) locally.mp4

01:06:34

3 -Retrieval Augmented Generation.mp4

01:25:32

4 -Langchain and LlamaIndex (LLM Frameworks).mp4

01:23:20

5 -Building real AI Projects.mp4

54:12

Files.zip

Description

Unlock Python and Generative AI Basics in Just 15 Days

What You'll Learn?

Key comparisons between Java and Python: Syntax, variables, loops, and data structures
How to transition your Java skills to Python programming
Building Python projects with real-world applications
Fundamentals of Generative AI and how to apply them in everyday tasks
Practical coding challenges with a focus on Python’s simplicity compared to Java

Who is this for?

Java programmers curious about learning Python quickly and efficiently

Beginners in Generative AI who want to explore its tools and applications

Educators and professionals seeking to apply AI to their work

Anyone who prefers a storytelling approach to learning with relatable, real-world examples

What You Need to Know?

Basic Java knowledge is helpful but not required. If you're familiar with Java, you'll appreciate the comparisons that make transitioning to Python easier.

No prior experience with Python or Generative AI is needed—we’ll cover everything from the ground up.

A computer with internet access to follow along and run Python code (preferably using Google Colab).

Curiosity and a willingness to learn Python and AI in a storytelling, engaging format!

More details

Description
Curious about Python programming and Generative AI but not sure where to start? This 15-day beginner-friendly course is designed to take you from zero to confidently building AI-powered projectsâ€”all through a practical, storytelling approach! If youâ€™re familiar with Java, weâ€™ll make it even easier by comparing concepts between the two languages, helping you transition smoothly.
From mastering Python fundamentals to exploring popular AI tools like ChatGPT and DALL-E, this course covers everything you need to start working with AI without writing complex code. Youâ€™ll dive into hands-on exercises, learn to use local LLMs, and build real-world AI applicationsâ€”all with no prior Python or AI experience required.
Course Outline:
Day 1-4: Python Fundamentals
Introduction to programming and Python
Overview of Google Colab and Github
Python syntax: print statements, comments, variables, and data types
Control structures: conditional statements, loops, and repetitive tasks
Data structures: lists, sets, tuples, and dictionaries
Day 5-7: Functions, Modules, and Packages
Defining and calling functions
Parameters and return values
Working with Python libraries and modules like math
Understanding PIP and how to install packages
Day 8: Files and Python Project
String operations and formatting
File handling: reading and writing files in Google Colab
A simple Python project based on the learner's understanding
Day 9-10: Introduction to Generative AI
Text generation tools and large language models (LLMs)
Practical exercises: Comparing ChatGPT and Gemini AI
Code generation with AI tools like Claude and ChatGPT
Prompt engineering for effective AI communication
Building a Python code generator using AI (no coding required)
Day 11-14: Advanced Generative AI Concepts
Image generation with tools like DALL-E, Midjourney, and Stable Diffusion
Running LLMs locally using Ollama and LM Studio
Retrieval Augmented Generation (RAG) technique with vector stores like ChromaDB
LLM frameworks: Langchain and LlamaIndex
Building a question-answering system using LLM frameworks
Day 15: Building Real AI Projects
Creating AI-powered tools like SQL chatbots using Langchain
Exploring the open-source world of AI and next steps in AI learning
By the end of the course, youâ€™ll have a solid foundation in Python and Generative AI, with the confidence to build exciting AI projects. Perfect for curious minds looking to step into the future of tech!
Who this course is for:
Java programmers curious about learning Python quickly and efficiently
Beginners in Generative AI who want to explore its tools and applications
Educators and professionals seeking to apply AI to their work
Anyone who prefers a storytelling approach to learning with relatable, real-world examples

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