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Free Download AI Context Optimization Up to 95% Fewer Tokens
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With AI Context Optimization Up to 95% Fewer Tokens, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English + subtitle | Duration: 35m | Size: 485.72 MB
Slash AI token usage by up to 95% and get faster, sharper results with practical context engineering workflows.
What you'll learn
Reduce AI token usage by up to 95% in suitable workflows using practical context optimization techniques
Write dense, focused prompts that preserve clarity while removing unnecessary words and context.
Manage long ChatGPT and Claude Code sessions using Custom Instructions...
Apply Context Skeleton, Error-First Context, Progressive Disclosure, and Delta Prompting to real tasks.
Choose the right token-saving tools
Recognize context bloat, estimate its real cost, and keep AI sessions faster, cleaner, and more focused.
Requirements
No programming or advanced AI experience is required; the course explains every technique step by step
Basic experience using ChatGPT, Claude, or another AI assistant is helpful but not essential.
A computer with internet access is recommended for trying the tools and workflows demonstrated in the course.
Description
This course contains the use of artificial intelligence.
AI tools become expensive, slow, and less effective when conversations accumulate unnecessary context. Long histories, oversized prompts, duplicated files, and verbose outputs can consume thousands of tokens without improving the final result.
AI Context Optimization is a focused, practical course that teaches you how to reduce token usage while preserving clarity, accuracy, and useful context. In suitable workflows, these techniques can reduce token consumption by up to 95%.
Instead of giving AI less information blindly, you will learn how to provide the right information at the right time.
In this course, you will learn how to
• Understand how tokens, context windows, caching, and AI pricing work
• Write dense prompts that remove filler without losing meaning
• Prevent context bloat in long ChatGPT conversations
• Manage Claude Code sessions using persistent project instructions, context compaction, clean-session resets, and targeted file references
• Apply Context Skeleton, Error-First Context, Progressive Disclosure, and Delta Prompting
• Choose practical token-saving tools for different workflows
You will also explore a curated toolkit for reducing context bloat, compressing large codebases, managing long AI sessions, and retrieving only the information that matters. You will learn how to match each approach to the right workflow without adding unnecessary complexity.
This course is designed for developers, AI power users, freelancers, creators, and knowledge workers who regularly use ChatGPT, Claude, Claude Code, or other AI assistants. No advanced AI knowledge or programming experience is required.
By the end of the course, you will have a practical framework for keeping AI sessions cleaner, reducing unnecessary token costs, avoiding context limits, and getting more focused results from the tools you already use.
Who this course is for
ChatGPT and Claude users who want to reduce token usage, avoid context limits, and get more focused responses.
Developers using Claude Code or other AI coding assistants in long, context-heavy projects.
Freelancers, creators, and knowledge workers who use AI regularly and want a faster, more efficient workflow.
AI power users who want practical context-management techniques instead of generic prompting advice.
Beginners who want to build efficient AI habits before unnecessary context and token costs become a problem.
Homepage
https://www.udemy.com/course/ai-context-optimization-up-to-95-fewer-tokens/
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