aiBeginner
Prompt Engineering
Prompt Engineering: anatomy, few-shot, chain-of-thought peek, JSON schemas, domain prompts, eval rubrics, defensive injection awareness, templates/versioning.
Prompt EngineeringLLMfew-shotJSONRAG promptingeval
Duration
7 weeks
Starts
Students
0+
Rating
0 / 5
Starting from
49 000 ֏
- 7 weeks (42h total)
- Starts
- online format
- HY · EN · RU
- Certificate on completion
No payment required to register · We’ll contact you within 24h
What this course is about
Overview
Prompt Engineering: anatomy, few-shot, chain-of-thought peek, JSON schemas, domain prompts, eval rubrics, defensive injection awareness, templates/versioning.
Across 7 weeks (42 hours of live + project work) you’ll move from fundamentals to shipping a real, production-grade project — guided by Tigran Hakobyan and the beeon.academy mentor team.
Learning outcomes
What you will learn
Install/connect to Percona Server
Write MySQL-compatible SQL with InnoDB habits
Know XtraBackup and Toolkit by name
Finish a mini lab + dump habit
Interactive course
Lessons
70 lessons · all open, start with any
- 1What is prompt engineering?30 min
- 2Not magic wording30 min
- 3What prompts cannot fix35 min
- 4Tokens, cost, latency30 min
- 5Practice habit25 min
- 6Safety habit from day one30 min
- 7Link to AI Fundamentals25 min
- 8Map of this course25 min
- 9Prompt anatomy35 min
- 10One clear task30 min
- 11Useful context only35 min
- 12Constraints and boundaries35 min
- 13Output format contracts35 min
- 14Role / persona carefully30 min
- 15System vs user vs assistant35 min
- 16Audience and reading level30 min
- 17Lab — rebuild a vague ask40 min
- 18Zero-shot prompting30 min
- 19Few-shot examples40 min
- 20Quality of examples35 min
- 21Chain-of-thought peek40 min
- 22Hidden vs shown reasoning30 min
- 23Decompose hard tasks35 min
- 24Self-check instructions35 min
- 25Graceful refusal wording30 min
- 26Ask to mark uncertainty30 min
- 27Lab — zero vs few-shot same task40 min
- 28JSON-shaped answers40 min
- 29Lightweight schemas in text35 min
- 30Information extraction prompts35 min
- 31Classification labels35 min
- 32Summarize with fidelity30 min
- 33Rewrite / tone transfer30 min
- 34Compare and decide frames30 min
- 35Lab — extract to JSON40 min
- 36Eval before tuning forever35 min
- 37Build prompt test cases35 min
- 38Scoring rubrics35 min
- 39A/B two prompt variants30 min
- 40Prompt regression checks30 min
- 41Name failure modes35 min
- 42Temperature with intent30 min
- 43Same prompt, different models30 min
- 44Lab — 5-case rubric45 min
- 45Prompts for code40 min
- 46Debug with evidence35 min
- 47Code review prompts35 min
- 48Writing and editing prompts30 min
- 49Data / SQL helper prompts35 min
- 50Support / FAQ style30 min
- 51Teaching / explanation prompts30 min
- 52Prompts with retrieved context40 min
- 53Lab — code + review pair40 min
- 54Prompt injection awareness40 min
- 55Isolate untrusted content35 min
- 56Secrets stay out of prompts30 min
- 57Prompt templates35 min
- 58Version prompts like code30 min
- 59Log carefully30 min
- 60Guardrails around the model35 min
- 61Multilingual prompting peek30 min
- 62Team prompt review25 min
- 63Lab — harden a support template40 min
- 64Prompt anti-patterns30 min
- 65Ship checklist25 min
- 66Next — agents & tool loops25 min
- 67When to revisit fundamentals20 min
- 68Weekly prompt gym25 min
- 69Portfolio of three prompts30 min
- 70Capstone — production-ready template50 min
Course modules
Syllabus
- 1
- 2
- 3
- 4
What you need to start
Requirements
- A laptop and willingness to run Percona or a MySQL-compatible server
- MySQL/MariaDB basics help
- No prior DBA experience required
Learn from a working engineer
Your instructor
TH
Tigran Hakobyan
Backend Mentor · beeon.academy
Instructor at beeon.academy. Percona path (ArT list Persona): 39 lessons through the capstone.
What graduates say
Student reviews
Common questions
FAQ
No — vibe coding was the previous course. Here we cover agents with tools and loops.
Starting from
49 000 ֏