Python & Gen AI Basics: Transition from 0 to Hero in 15 days
Requirements
-
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!
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 projects—all through a practical, storytelling approach! If you’re familiar with Java, we’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. You’ll dive into hands-on exercises, learn to use local LLMs, and build real-world AI applications—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, you’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
