Overview
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
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
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!
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!
Arul Benjamin Chandru Ebenezer Vedanayagam
I have over 11 years of rich experience in the tech industry, dedicated to delivering efficient and innovative solutions that meet the complex needs of our clients. Throughout my career, I have honed my expertise in Data Engineering, with a particular focus on leveraging the capabilities of Azure and AWS. This specialization allows me to design and implement robust, scalable data systems that not only drive business success but also enhance operational efficiencies and decision-making processes.
My journey in the tech world has been marked by a continuous quest for knowledge and improvement. I am deeply passionate about the transformative power of watsonX Generative AI, a cutting-edge platform that enables the creation of AI-powered content and experiences. My enthusiasm for AI extends to various advanced technologies such as Generative AI, Retrieval-Augmented Generation (RAG), LlamaIndex, and Langchain. These technologies empower me to craft sophisticated AI solutions that are tailored to address specific business challenges, thereby providing our clients with a competitive edge in their respective industries.
My proficiency spans a wide range of technologies, including Java, Microservices, Mainframe Modernization, JCL, COBOL, DB2, VSAM, CICS, Spring Boot, HTML, CSS, and JavaScript. This diverse skill set enables me to tackle various technical challenges and deliver comprehensive solutions that are both innovative and effective.