Udemy - From Java to AI - The Python Free Guide to AI and LLMs

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Free Download Udemy - From Java to AI - The Python Free Guide to AI and LLMs
Published: 3/2025
Created by: Koushik Kothagal
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 38 Lectures ( 5h 6m ) | Size: 5.3 GB

A Complete Code-Free Introduction to Core LLM concepts
What you'll learn
The fundamentals of AI and LLMs explained in simple, accessible language without mathematical complexity
How modern language models actually work under the hood, demystified for the Java developer
Text processing and tokenization explained with practical implications for your applications
Core capabilities of LLMs and what they can (and cannot) do for your Java projects
How to run Large Language Models and use them locally
Step-by-step integration of LLMs into Java applications using standard HTTP clients and JSON processing
Crafting effective prompts that produce consistent, reliable results for business applications
Managing contextual conversations with stateless LLMs through proper session handling
Tuning LLM parameters to control creativity, response length, and output variety
Advanced prompting techniques that improve response quality without requiring AI expertise
Structuring LLM outputs for seamless parsing and type safety in Java applications
Error handling strategies for dealing with the unique challenges of AI-generated content
Properly formatting system messages to control AI behavior consistently
Context window optimization to handle lengthy interactions efficiently
Validating and verifying LLM responses to prevent incorrect or hallucinated information
Zero-to-hero understanding of LLMs that lets you join AI discussions with confidence - no Python required!
Requirements
Familiarity with Java programming
Basic consumer laptop / desktop. No beefy hardware required
Curiosity about AI and LLMs
No Python knowledge required
No machine learning or statistics background needed
No advanced mathematics required
Description
Feel left behind by the AI revolution because you don't know Python? This course is your gateway to the exciting world of Large Language Models, specifically designed for Java developers who want to understand and implement AI without changing their tech stack.Through clear, jargon-free explanations, you'll discover how LLMs actually work - from their fundamental architecture and tokenization to sophisticated prompting techniques and integration patterns. We explore everything from the basics of what AI truly is to advanced concepts like context windows, structured outputs, and error handling strategies.The curriculum methodically builds your knowledge: starting with AI and LLM foundations, moving to practical Java integration with HTTP, then advancing to conversation management, prompting patterns, and robust error handling. Each concept is explained in plain English with practical insights.We've eliminated the traditional barriers to AI learning - no complex mathematics, no Python Requirements, and no machine learning prerequisites. This course teaches you all the essential concepts of AI in an accessible way that lets you experience those rewarding "aha!" moments as concepts click into place.By the end, you'll have transformed from feeling left out of the AI conversation to being equipped with practical knowledge to confidently integrate these powerful tools into your Java applications right away.
Who this course is for
Java developers who feel left behind by the AI revolution and want to catch up quickly
Software engineers who want to understand AI/LLM concepts without switching to Python
Backend developers looking to enhance Java applications with AI capabilities
Technical professionals who need to understand AI terminology and capabilities for work discussions
Java programmers curious about the fundamentals of how LLMs actually work
Developers who learn better through clear explanations rather than mathematical formulas
Software architects evaluating how to integrate LLMs into existing Java-based systems
Engineers who want practical knowledge they can apply immediately in familiar environments
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