Get instant Coupon on our Telegram ChannelUnlock Python and Generative AI Basics with Java Concepts in Just 15 Days
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!
| Total Students | 2195 |
|---|---|
| Original Price($) | |
| Sale Price | Free |
| Number of lectures | 15 |
| Number of quizzes | 0 |
| Total Reviews | 0 |
| Global Rating | 0 |
| Instructor Name | Arul Benjamin Chandru Ebenezer Vedanayagam |
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