What You'll Learn
Prerequisites
- No prior programming experience needed
- Basic computer knowledge
- A laptop with internet access
- Enthusiasm to learn!
Tools & Setup
📖 Tutorial Chapters & Curriculum
Follow the structured learning path from beginner to advanced
1
Program Orientation: How to Learn Prompt Engineering the Right Way
Set up your learning workflow so your prompts become repeatable, not random.
2
LLM Fundamentals: Tokens, Context, and Why Models Hallucinate
A practical model of how LLMs behave so you can predict failures.
3
Prompting Basics: Clarity, Constraints, and Output Control
Learn the core blocks: clarity, constraints, formatting, and control.
4
Prompt Patterns & Frameworks: Templates You’ll Reuse Everywhere
Learn reusable prompting frameworks used in real work.
5
Few-shot Learning: Teach with Examples (Without Fine-tuning)
Design examples that guide outputs without causing repetition or bias.
6
System Prompts & Instruction Hierarchy: Keeping Behavior Stable
Understand instruction priority and write stable assistant behavior rules.
7
Prompting for Content: SEO Blogs, Ads, Scripts, and Course Lessons
Use a repeatable workflow: brief → outline → draft → human pass → SEO pass.
8
Prompting for Coding & Debugging: Spec-First, Test-First, Fix Faster
Get better code by providing clear specs, constraints, and test cases.
9
Structured Outputs: Reliable JSON, Tables, SQL, and Schemas
Lock structure using schema rules, no-extra-text rules, and repair loops.
10
Evaluation & Prompt Testing: Make Prompts Reliable, Not Lucky
Build test cases and rubrics so prompts remain stable and repeatable.
11
RAG Prompting: Working with Documents Without Making Up Facts
Answer only from provided context and refuse missing info safely.
12
Agents & Tool Use: Planning, Tool Selection, Multi-step Reliability
Design prompts that plan, use tools, handle failures, and verify results.
13
Safety & Prompt Security: Prevent Leaks, Injections, Unsafe Output
Build safe assistants: injection defense, refusal style, and data masking.
14
Advanced Control: Voice, Style, Persuasion, Consistent Behavior
Control tone, verbosity, persona stability, and human feel across outputs.
15
Capstone Projects: Build Real Prompt Workflows (Content, Support, RAG, Coding)
Combine everything into prompt systems with tests, QA checklists, and delivery docs.
16
Tool Setup & Prompt Notebook: Templates, Versioning, and Storage
Build a prompt notebook like a codebase: templates, versions, and test cases.
17
Context Windows in Real Life: Why Long Chats Start Failing
Instruction drift, forgetting, and how to structure prompts for stability.
18
Writing Clear Instructions: The No-Interpretation Style
Replace vague words with testable instructions that lock behavior.
19
RTF Framework: Role–Task–Format (Fast and Effective)
A fast framework to make prompts clearer and more consistent.
20
Choosing Good Examples: Diversity, Realism, and Edge Coverage
Pick examples that match real inputs and cover messy cases.
21
System Prompt Blueprint: A Reusable Behavior Spec
A clean template for role, rules, refusal style, and uncertainty handling.
22
SEO Outline Prompting: Clusters, Intent, and Internal Links
Generate outlines that match search intent and include internal link plans.
23
Spec-First Prompting: Inputs, Outputs, Constraints, Edge Cases
A pre-flight checklist for coding prompts that reduces wrong code.
24
Strict JSON Pattern: No Extra Keys + Null Rules
Generate valid JSON consistently with strict schema constraints.
25
Build a Prompt Test Set: Normal, Messy, and Edge Cases
Create inputs that actually break prompts (so you can fix them).
26
Answer-from-Context-Only Prompts That Actually Work
A strict pattern for grounded Q&A with safe refusal behavior.
27
Planning Prompts: Short Plans That Prevent Chaos
Make the model plan steps before acting, without long essays.
28
Prompt Injection Basics: What It Looks Like in Real Chats
Recognize injection attempts and respond safely without over-explaining.
29
Voice Guide Prompting: Define Brand Voice Like a Style System
Create a reusable voice guide with examples and banned phrases.
30
Capstone 1: SEO Content System (Brief → Outline → Draft → QA)
Build a complete SEO pipeline prompt pack with test cases and rubrics.
31
Practice Method: One Change at a Time (Iteration Without Confusion)
Learn the fastest improvement loop: baseline → single change → retest.
32
Plausible vs True: Why Confident Answers Can Still Be Wrong
Why plausibility drives output and how to reduce guessing.
33
Constraints That Stick: Length, Tone, and Do/Don’t Rules
How to write constraints the model actually follows consistently.
34
Decomposition Pattern: Break Big Tasks into Reliable Steps
Split tasks into phases to reduce errors and increase control.
35
Prevent Overfitting: Stop the Model From Copying Examples
Reduce repetition and improve generalization beyond the examples.
36
Conflict Handling: What to Do When Instructions Clash
Define how assistants resolve contradictory requirements safely.
37
Human Tone Editing: Remove Filler and Add Real Voice
Rewrite outputs to sound natural: less generic, more specific.
38
Debug Prompting: Reproduce → Diagnose → Fix → Verify
Turn logs and snippets into clean debugging requests.
39
Table Outputs: Clean Rows, Stable Columns, No Missing Fields
Make table-like outputs consistent using fixed column templates.
40
Rubrics and Scoring: Measure Quality Instead of Guessing
Score outputs on clarity, correctness, completeness, and format.
41
Context Packing: Feed Retrieval Chunks Without Noise
Make the model use context correctly by labeling and limiting.
42
Tool Selection: When to Call Tools vs Answer Directly
Prevent invented tool results and ensure accuracy when tools exist.
43
Refusal Styles: Short, Helpful, and Non-Argumentative
Refuse unsafe requests while offering safe alternatives.
44
Verbosity Control: Make Outputs Short or Deep on Demand
Use measurable constraints to control length without losing clarity.
45
Capstone 2: Support Reply System (Policy-safe, Short, Helpful)
Create support reply prompts that ask missing questions and avoid inventing policy.
46
Prompt Specs: Turning Requirements into Clear Acceptance Criteria
Write prompts like specs: measurable rules the model can’t misread.
47
Controlling Randomness with Constraints: Stable Output Without Settings
Use structure and rules to simulate low randomness and improve consistency.
48
Output Templates: Bulletproof Structures for Repeatable Results
Use rigid templates to keep outputs structured and predictable.
49
Checklist + Critic Pass: Build Quality Into the Prompt
Generate → review against checklist → revise for stronger outputs.
50
Few-shot for Classification: Tags, Labels, and Routing
Build reliable labeling prompts with clear label definitions.
51
Formatting Rules That Persist: Keep Output Stable Over Long Chats
Use recap blocks and final constraints to prevent drift.
52
Short-Form Scripts: Hook → Value → Proof → CTA
Create reels/shorts scripts that feel punchy and human.
53
Refactor Prompting: Clean Code Without Changing Behavior
Get maintainable code with clear boundaries and minimal noise.
54
SQL Bulk Generation: Escaping, Quotes, and Long HTML Content
Generate bulk inserts safely even with large HTML blocks.
55
Regression Testing: Improve Prompts Without Breaking Old Use Cases
Run the same test set after every prompt change.
56
Handling Conflicts: When Two Chunks Disagree
Teach the model to detect conflicts and ask clarifying questions.
57
Retries and Fallbacks: Safe Failure Without Breaking UX
Define fallback behaviors and user-facing explanations.
58
Sensitive Data Handling: Masking, Redaction, and Safe Defaults
Prevent leaking personal info, IDs, salaries, tokens, and private links.
59
Persuasion Ethically: Address Objections Without Fake Claims
Write persuasive content while staying honest and non-manipulative.
60
Capstone 3: RAG Assistant Prompt Pack (Grounded, Cited, Safe)
Design grounded prompts for document Q&A, summaries, extraction, and refusal.
61
Common Beginner Mistakes and How to Fix Them Fast
Spot the most common prompting failures and repair each quickly.
62
Prompt Memory: What the Model Remembers (and What It Drops)
Understand recency effects and how to restate “final rules” effectively.
63
Ask-First Pattern: Make the Model Ask Questions Instead of Guessing
Teach the model to ask up to N questions before proceeding when needed.
64
Rubric Prompting: Score Outputs and Improve Systematically
Turn “make it better” into measurable scoring and targeted fixes.
65
Few-shot for Formatting: Output Shape That Never Changes
Use examples to lock structure for JSON, tables, and templates.
66
Anti-Jailbreak Basics: Simple Prompt Defenses That Work
Practical defenses that prevent override attempts and prompt leakage.
67
Course Writing Prompts: Tutorials That Teach (Not Just Explain)
Structure lessons: concept → example → mistakes → exercise → recap.
68
SQL/DB Prompting: Safe Queries, Escaping, and Bulk Inserts
Generate reliable SQL with consistent quoting and safe patterns.
69
Self-Repair Loop: Detect Invalid Output and Regenerate Correctly
Use a second pass to fix JSON/SQL/formatting issues reliably.
70
A/B Prompt Testing: Compare Two Prompts Fairly
Compare prompts with consistent inputs and measurable criteria.
71
RAG Evaluation: Test Grounding and Refusal Quality
Score grounding, citations, and safe refusal when context is missing.
72
Checkpointing: Verify Intermediate Outputs Before Final
Use checkpoints to keep multi-step tasks accurate and stable.
73
Security Guardrails: Keep System Rules From Being Overridden
Write guardrails that stay stable even with tricky user behavior.
74
Consistency Over Time: Keep Persona Stable Across Many Messages
Use recap blocks and templates for stable persona and behavior.
75
Capstone 4: Developer Prompt Kit (Debug, Refactor, SQL, Spec)
Build a reusable set of prompts for coding tasks and quality verification.
76
Mini Project: Build Your First Reusable Prompt Template Library
Create 3 reusable prompt templates and validate them with real test inputs.
77
Mini Lab: Diagnose a Bad Output (Root Cause → Fix Prompt)
Hands-on: identify failure mode and apply the right prompt repair.
78
Mini Workshop: Build 3 Prompts You’ll Reuse Weekly
Create a blog prompt, a debug prompt, and a JSON prompt with test cases.
79
Mini Project: Build a Prompt Library for Your Top 5 Tasks
Create 5 production prompts + test cases + improvement notes.
80
Mini Lab: Build a Few-shot Prompt and Test 10 Inputs
Create a few-shot prompt, test it, and iterate using failure notes.
81
Mini Project: Design a System Prompt for a Support Bot
Create a support assistant spec: tone, formatting, escalation, safe refusals.
82
Mini Project: Build a Content Pipeline Prompt Pack
Create 5 prompts for content production + a QA checklist prompt.
83
Mini Lab: Build Your Developer Prompt Kit (5 Templates)
Create prompts for bugfix, refactor, SQL, API design, and UI changes.
84
Mini Project: Build a Structured Output Prompt Pack
Create JSON extraction + SQL inserts + table outputs with test inputs.
85
Mini Lab: Prompt QA for a Real Workflow
- Mini Lab: Prompt QA for a Real Workflow 18-22 min
86
Mini Project: RAG Prompt Pack for Your FAQ/Docs
Build prompts for Q&A, summary, extraction, and refusal with tests.
87
Mini Project: Build an Agent Prompt for a Real Workflow
Create an agent prompt that uses tools and passes a verification checklist.
88
Mini Project: Secure Prompt Spec for a Production Assistant
Create a security-aware system prompt + refusals + test cases.
89
Mini Project: Build a Brand Voice Prompt Pack
Create prompts for blog, support, ads, and scripts using one voice guide.
90
Capstone Delivery Checklist: What “Done” Looks Like
Ship prompt systems with templates, tests, rubrics, and known failure notes.
🎯 Interview Preparation
Top Python interview questions organized by difficulty
Nagmani Solanki
Digital Marketing
Edugators platform is the best place to learn live classes, and live projects by which you can understand easily and have excellent customer service.
Saurabh Arya
Full Stack Developer
It was a very good experience. Edugators and the instructor worked with us through the whole process to ensure we received the best training solution for our needs.
Praveen Madhukar
Web Design
I would definitely recommend taking courses from Edugators. The instructors are very knowledgeable, receptive to questions and willing to go out of the way to help you.
Need To Train Your Corporate Team ?
Customized Corporate Training Programs and Developing Skills For Project Success.
Get Newsletter
Subscibe to our newsletter and we will notify you about the newest updates on Edugators
