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Mastering Prompt Engineering

It covers a wide range of topics, from prompt engineering theory and practical techniques to the latest application cases and security/ethical issues, providing practical assistance to LLM-based service developers, data scientists, and AI planners alike.

(5.0) 1 reviews

77 learners

Level Intermediate

Course period Unlimited

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Notice Regarding the Posting Schedule for the Revised Video

# Lecture 16. Mastering Prompt Engineering

## Notice on New Lesson Postings

Hello, students! This course is scheduled to have **226** new lessons (across a total of 66 sections) posted sequentially. Since I am producing multiple courses simultaneously, I am proceeding by **alternating between various courses and posting a little at a time**, rather than uploading one entire course at once. Below are the posting principles and the schedule for each section of this course.

> For your reference, the lessons being posted now are not entirely new content, but are part of the process of creating **revised editions (2nd or 3rd editions)** that reinforce existing lectures.

## Posting Principles

- Currently, I am rotating through a total of 19 courses in order (circular method), posting one lesson per course alternately.
- Postings are made on weekdays (Mon-Fri), with a total of 5 new lessons uploaded daily across all courses.
- For this course, the next lesson will be posted each time its turn in the rotation comes around.
- The posting speed may feel slow compared to other courses, but all courses are progressing together in the same manner.

## Posting Schedule by Section (Total 66 Sections)

| Section | Number of Lessons | Start Date | End Date |
|---|---|---|---|
| Section 2. [Intro to Prompt Engineering] 2. Configuring LLM Usage Environment | 2 | 2026-07-06 | 2026-07-09 |
| Section 3. [Intro to Prompt Engineering] 3. Basic Prompting | 4 | 2026-07-15 | 2026-07-31 |
| Section 4. [Intro to Prompt Engineering] 4. Components of a Prompt | 2 | 2026-08-05 | 2026-08-11 |
| Section 5. [Intro to Prompt Engineering] 5. General Tips for Prompt Design | 3 | 2026-08-17 | 2026-08-27 |
| Section 6. [Intro to Prompt Engineering] 6. Prompt Examples | 3 | 2026-09-01 | 2026-09-11 |
| Section 7. [Prompt Engineering Techniques] 1. Zero-Shot | 4 | 2026-09-17 | 2026-10-02 |
| Section 8. [Prompt Engineering Techniques] 2. Few-Shot | 4 | 2026-10-08 | 2026-10-23 |
| Section 9. [Prompt Engineering Techniques] 3. CoT (Chain of Thought) | 4 | 2026-10-29 | 2026-11-16 |
| Section 10. [Prompt Engineering Techniques] 4. SC-CoT (Self-Consistency CoT) | 4 | 2026-11-19 | 2026-12-07 |
| Section 11. [Prompt Engineering Techniques] 5. GKP (Generated Knowledge Prompting) | 4 | 2026-12-11 | 2026-12-28 |
| Section 12. [Prompt Engineering Techniques] 6. Prompt Chaining | 3 | 2027-01-01 | 2027-01-12 |
| Section 13. [Prompt Engineering Techniques] 7. ToT (Tree of Thoughts) | 5 | 2027-01-15 | 2027-02-03 |
| Section 14. [Prompt Engineering Techniques] 8. RAG (Retrieval-Augmented Generation) | 6 | 2027-02-08 | 2027-03-02 |
| Section 15. [Prompt Engineering Techniques] 9. ART (Automatic Reasoning and Tool-use) Theory | 9 | 2027-03-05 | 2027-04-06 |
| Section 16. [Prompt Engineering Techniques] 10. AP (Active Prompting) | 4 | 2027-04-09 | 2027-04-22 |
| Section 17. [Prompt Engineering Techniques] 11. APE (Automatic Prompt Engineer) | 3 | 2027-04-26 | 2027-05-04 |
| Section 18. [Prompt Engineering Techniques] 12. DSP (Directional Stimulus Prompting) | 3 | 2027-05-07 | 2027-05-14 |
| Section 19. [Prompt Engineering Techniques] 13. PAL (Program-Aided Language Models) | 3 | 2027-05-19 | 2027-05-27 |
| Section 20. [Prompt Engineering Techniques] 14. ReAct | 5 | 2027-06-01 | 2027-06-15 |
| Section 21. [Prompt Engineering Techniques] 15. MM-CoT (Multimodal CoT) | 4 | 2027-06-18 | 2027-06-29 |
| Section 22. [Prompt Engineering Techniques] 16. GraphPrompt | 10 | 2027-07-02 | 2027-08-03 |
| Section 23. [Applications] 1. Function Calling | 2 | 2027-08-05 | 2027-08-09 |
| Section 24. [Applications] 2. Data Generation | 4 | 2027-08-11 | 2027-08-19 |
| Section 25. [Applications] 3. Generating Synthetic Datasets for RAG | 2 | 2027-08-23 | 2027-08-25 |
| Section 26. [Applications] 4. Dealing with Diversity in Generated Datasets | 3 | 2027-08-27 | 2027-09-02 |
| Section 27. [Applications] 5. Code Generation | 4 | 2027-09-06 | 2027-09-14 |
| Section 28. [Applications] 6. Case Study: Job Classification for New College Graduates | 3 | 2027-09-16 | 2027-09-22 |
| Section 29. [Prompt Collection] 1. Classification | 2 | 2027-09-24 | 2027-09-28 |
| Section 30. [Prompt Collection] 2. Coding | 2 | 2027-09-30 | 2027-10-04 |
| Section 31. [Prompt Collection] 3. Creativity | 2 | 2027-10-06 | 2027-10-08 |
| Section 32. [Prompt Collection] 4. Evaluation | 2 | 2027-10-12 | 2027-10-14 |
| Section 33. [Prompt Collection] 5. Information Extraction | 2 | 2027-10-18 | 2027-10-20 |
| Section 34. [Prompt Collection] 6. Image/Video Generation | 2 | 2027-10-22 | 2027-10-26 |
| Section 35. [Prompt Collection] 7. Math Problem Solving | 2 | 2027-10-28 | 2027-11-01 |
| Section 36. [Prompt Collection] 8. Q&A | 2 | 2027-11-03 | 2027-11-05 |
| Section 37. [Prompt Collection] 9. Reasoning | 2 | 2027-11-09 | 2027-11-11 |
| Section 38. [Prompt Collection] 10. Summarization | 2 | 2027-11-15 | 2027-11-17 |
| Section 39. [Prompt Collection] 11. Truthfulness | 2 | 2027-11-19 | 2027-11-23 |
| Section 40. [Prompt Collection] 12. Adversarial Prompting | 2 | 2027-11-25 | 2027-11-29 |
| Section 41. [Major Models] 1. ChatGPT | 3 | 2027-12-01 | 2027-12-07 |
| Section 42. [Major Models] 2. GPT-4 | 3 | 2027-12-09 | 2027-12-14 |
| Section 43. [Major Models] 3. Gemini | 3 | 2027-12-16 | 2027-12-22 |
| Section 44. [Major Models] 4. LLaMA | 3 | 2027-12-23 | 2027-12-29 |
| Section 45. [Major Models] 5. Code Llama | 3 | 2027-12-30 | 2028-01-05 |
| Section 46. [Major Models] 6. Flan | 4 | 2028-01-06 | 2028-01-13 |
| Section 47. [Major Models] 7. Mistral 7B | 3 | 2028-01-17 | 2028-01-20 |
| Section 48. [Major Models] 8. Mixtral | 3 | 2028-01-21 | 2028-01-27 |
| Section 49. [Major Models] 9. Olmo | 3 | 2028-01-28 | 2028-02-02 |
| Section 50. [Major Models] 10. Phi-2 | 3 | 2028-02-04 | 2028-02-09 |
| Section 51. [Major Models] 11. Language Model Collection | 3 | 2028-02-11 | 2028-02-16 |
| Section 52. [Risks and Misuse] 1. Defense Strategies Against Adversarial Prompting | 4 | 2028-02-18 | 2028-02-24 |
| Section 53. [Risks and Misuse] 2. Factuality | 3 | 2028-02-28 | 2028-03-02 |
| Section 54. [Risks and Misuse] 3. Bias | 4 | 2028-03-06 | 2028-03-10 |
| Section 55. [Advanced] 1. System Prompt Design | 5 | 2028-03-14 | 2028-03-21 |
| Section 56. [Advanced] 2. Structured Output | 3 | 2028-03-23 | 2028-03-28 |
| Section 57. [Advanced] 3. Reasoning Models and Extended Thinking | 4 | 2028-03-29 | 2028-04-04 |
| Section 58. [Advanced] 4. Multimodal Prompting in Practice | 3 | 2028-04-06 | 2028-04-10 |
| Section 59. [Advanced] 5. Agents and Tool Use | 4 | 2028-04-12 | 2028-04-18 |
| Section 60. [Advanced] 6. Prompt Evaluation and Optimization | 3 | 2028-04-19 | 2028-04-24 |
| Section 61. [Advanced] 7. Prompt Caching and Cost Optimization | 3 | 2028-04-26 | 2028-04-28 |
| Section 62. [Advanced] 8. Claude Prompting | 4 | 2028-05-02 | 2028-05-08 |
| Section 63. [Prompt Collection] 13. Agent Workflows | 2 | 2028-05-09 | 2028-05-11 |
| Section 64. [Prompt Collection] 14. Document Analysis | 2 | 2028-05-12 | 2028-05-16 |
| Section 65. [Prompt Collection] 15. Data Analysis | 2 | 2028-05-17 | 2028-05-18 |
| Section 66. [Advanced] Prompt Ceilings and Three-Layer Expansion - Context Engineering and Harness Engineering | 8 | 2028-05-22 | 2028-06-05 |
| Section 67. [Practice] Beyond Prompts - Enhancing Prompt Techniques with Harnesses | 7 | 2028-06-06 | 2028-06-16 |

## Estimated Completion

Based on the current pace, the estimated completion date for all postings of this course is **around June 2028**. (The actual schedule may be moved forward or delayed depending on production progress)
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