| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction and How Language Models Actually Work | |||
| 1. What LLMs are (and aren't) - dispelling the magic.mp4 | 68 MB | ||
| 2 - Prompt Anatomy & Core Techniques | |||
| 3 - Reasoning & Complex Tasks | |||
| 10. Step-back prompting and analogical reasoning.mp4 | 71.9 MB | ||
| 11. Breaking down multi-step problems.mp4 | 74.9 MB | ||
| 12. When to use reasoning chains vs. direct answers.mp4 | 66.4 MB | ||
| 4 - Output Control & Formatting | |||
| 13. Structured outputs JSON, XML, Markdown, tables.mp4 | 87.6 MB | ||
| 14. Controlling tone, length, and style.mp4 | 81.8 MB | ||
| 15. Using delimiters and formatting cues effectively.mp4 | 84.4 MB | ||
| 16. Prompt templates and reusable patterns.mp4 | 80.6 MB | ||
| 5 - Advanced Strategies | |||
| 17. Self-consistency and majority voting.mp4 | 84.5 MB | ||
| 18. ReAct (Reasoning + Acting) for agentic tasks.mp4 | 70 MB | ||
| 19. Retrieval-Augmented Generation (RAG) basics.mp4 | 73.1 MB | ||
| 20. System prompts vs. user prompts - when each matters.mp4 | 76.7 MB | ||
| 6 - Evaluation & Iteration | |||
| 21. How to measure if a prompt is actually working.mp4 | 82 MB | ||
| 22. Building an eval set for your use case.mp4 | 82.8 MB | ||
| 23. Common failure modes hallucinations, sycophancy, instruction drift.mp4 | 86.5 MB | ||
| 24. Iterating systematically vs. guessing.mp4 | 94.4 MB | ||
| 7 - Real-World Applications & Capstone | |||
| 25. Prompting for code generation, summarization, classification, and extraction.mp4 | 103.3 MB | ||
| 26. Domain-specific considerations (legal, medical, creative writing).mp4 | 93.8 MB | ||
| 27. Capstone build and evaluate a prompt pipeline for a real task.mp4 | 71.6 MB | ||
| 28. What's next - staying current as models evolve.mp4 | 118.9 MB | ||
| 9. Chain-of-thought prompting.mp4 | 71.7 MB | ||
| 5. Prompt Structure Instruction, Context, Input, Output Format.mp4 | 77.9 MB | ||
| 6. Zero-shot, one-shot, and few-shot prompting.mp4 | 81.6 MB | ||
| 7. Role prompting and persona setting.mp4 | 80.1 MB | ||
| 8. Negative prompting - telling the model what not to do.mp4 | 81.2 MB | ||
| 2. How tokens, context windows, and probability distributions shape output.mp4 | 72.4 MB | ||
| 3. What We Mean by Prompt Structure.mp4 | 61 MB | ||
| 4. The mental model you need before writing a single prompt.mp4 | 70.4 MB |
prompt Engineering Mastery
https://WebToolTip.com
Published 5/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 2m | Size: 2.2 GB
Master ChatGPT, Claude and AI Tools With Proven Frameworks That Get Consistent, Professional Results Every Time
What you'll learn
Understand how LLMs work, including tokens, context windows, and probability, so you prompt with intention rather than guesswork.
Write effective prompts using zero-shot, few-shot, chain-of-thought, and role prompting for real-world tasks.
Control model output using formatting instructions, temperature settings, and structured outputs like JSON and XML.
Apply advanced techniques like self-consistency, ReAct, and RAG for complex, multi-step AI workflows.
Evaluate and iterate on prompts systematically to identify and fix hallucinations, sycophancy, and instruction drift.
Build prompt pipelines for summarization, classification, code generation, and information extraction tasks. You said: What Are the Requirements or Prerequisite
Requirements
No programming experience required. This course is built for non-technical learners.
Basic comfort using a computer and typing in a chat interface like ChatGPT or Claude is helpful but not mandatory.
No math or machine learning background needed. Technical concepts are explained from the ground up.
Access to any free AI tool such as ChatGPT, Claude, or Gemini is recommended so you can practice alongside the lessons.
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Udemy - Prompt Engineering Masterclass For Claude, Gemini and Chatgpt Posted by
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