Free Download Python & Gen AI Basics Transition from Java in Just 15 days
Published 9/2024
Created by Arul Benjamin Chandru Ebenezer Vedanayagam
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 15 Lectures ( 16h 48m ) | Size: 7.2 GB
Unlock Python and Generative AI Basics with Java Concepts 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
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
ay 1-4: Python FundamentalsIntroduction to programming and PythonOverview of Google Colab and GithubPython syntax: print statements, comments, variables, and data typesControl structures: conditional statements, loops, and repetitive tasksData structures: lists, sets, tuples, and dictionariesDay 5-7: Functions, Modules, and PackagesDefining and calling functionsParameters and return valuesWorking with Python libraries and modules like mathUnderstanding PIP and how to install packagesDay 8: Files and Python ProjectString operations and formattingFile handling: reading and writing files in Google ColabA simple Python project based on the learner's understandingDay 9-10: Introduction to Generative AIText generation tools and large language models (LLMs)Practical exercises: Comparing ChatGPT and Gemini AICode generation with AI tools like Claude and ChatGPTPrompt engineering for effective AI communicationBuilding a Python code generator using AI (no coding required)Day 11-14: Advanced Generative AI ConceptsImage generation with tools like DALL-E, Midjourney, and Stable DiffusionRunning LLMs locally using Ollama and LM StudioRetrieval Augmented Generation (RAG) technique with vector stores like ChromaDBLLM frameworks: Langchain and LlamaIndexBuilding a question-answering system using LLM frameworksDay 15: Building Real AI ProjectsCreating AI-powered tools like SQL chatbots using LangchainExploring the open-source world of AI and next steps in AI learningBy 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
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