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39Core experience
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Practiq AI Home
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Browse the entire catalog of Practiq AI coding courses and challenges.
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Prompt Enhancer
Rewrite any prompt with structure, guardrails, and clarity in one click.
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Review how PractiqAI collects, protects, and processes learner data.
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Understand the rules and expectations when using PractiqAI.
What Are Vector Databases
A practical guide to vector databases: what they actually do (vs. simple vector stores), how indexing and hybrid search work, and how to model, operate, and choose them for real-world AI apps.
Blog
What is Chain‑of‑Thought (CoT)
A practical, opinionated guide to chain‑of‑thought prompting: what it is, how self‑consistency decoding works, when long reasoning helps, and when you should keep models terse and tool‑driven.
Blog
Embeddings in Plain English
A practical, human-friendly guide to embeddings: what they are, what they unlock (search, clustering, dedupe), how distance and similarity work, how to choose models, chunk text, store vectors, keep indexes fresh, evaluate quality, and control cost.
Blog
Context Windows: How Much the Model Can “Remember”
A practical guide to context windows in LLMs: what they are, how different models handle them, how to budget tokens, and when to reach for RAG or fine‑tuning instead of just “making the prompt longer.”
Blog
Temperature, Top‑p & Friends: Tuning LLM Randomness
A practical guide to sampling parameters like temperature, top‑p, and seeds: what they actually do, when to change them, and how to choose reliable defaults for your LLM apps.
Blog
System Prompts, Roles & Instruction Hierarchy
A practical guide to the three chat roles (system/developer/user), what truly belongs in each, how to resolve conflicts, and how to test and template role‑specific prompts.
Blog
What Are Tokens? (And Why They Matter)
A practical, slightly nerdy guide to tokens: what they are, how tokenization works (BPE/WordPiece/SentencePiece), why tokens control cost, speed, and limits, plus safe ways to shrink prompts without losing quality.
Blog
What Is a Prompt?
A practical, slightly nerdy guide to prompts: what they are, types and formats (including JSON), how to write great ones, and why good prompting works with LLMs.
Blog
Course hubs
Jump straight into guided learning paths.
Everyday AI: Practical Prompting
Build reliable, real-life AI skills you’ll use daily. You’ll practice turning everyday goals into precise prompts that produce usable outputs—plans, messages, summaries, decisions, and simple reports. Short, focused tasks let you improve quickly and see immediate value. All deliverables are plain text.
Python Fundamentals by Doing
A gentle, hands-on path from zero programming to writing small, useful Python programs. You’ll learn variables, data types, decisions, loops, collections, and simple algorithms, then assemble them into practical mini‑apps. Every task asks you to prompt an AI to produce runnable code and is auto‑judged so you get immediate, concrete feedback.
Deep practice tasks
Hands-on challenges organized by course and stage.
Smart Grocery Consolidation
You’re planning a week of meals using what you already have. Produce a consolidated grocery list grouped by store sections with deduplicated items, quantities, and flagged substitutions. Output is plain text.
Everyday AI: Practical Prompting › Stage 1: Quick Everyday Wins
Goal to Checklist
You have a personal goal and need a concrete path to completion. Produce a sequenced checklist that shows dependencies, defines done for each step, and estimates a realistic timeline.
Everyday AI: Practical Prompting › Stage 2: Personal Systems That Stick
Diverse Blog Headlines
You’re preparing a blog post on a defined topic. Generate eight concise, stylistically varied headline options that avoid clickbait and stay within character limits.
Everyday AI: Practical Prompting › Stage 3: Concise Communication Mastery
Friendly-Professional Rewrite
You’re given a rough, wordy paragraph. Rewrite it to be warmer, clearer, and tighter while preserving meaning and credibility.
Everyday AI: Practical Prompting › Stage 3: Concise Communication Mastery
Pros, Cons, Decision
You’re choosing among three options for a simple decision (e.g., tools, vendors, or weekend plans). Produce a structured pros/cons list per option, name the central trade-off, and recommend one with a brief rationale.
Everyday AI: Practical Prompting › Stage 4: Data Sensemaking Basics
Receipt Field Extractor
You’re digitizing a paper receipt for a budget app. Produce a normalized breakdown with merchant, date, line items, and totals that a spreadsheet can consume. Keep the math consistent and flag any uncertainties.
Everyday AI: Practical Prompting › Stage 4: Data Sensemaking Basics
Project Status Update
You manage several workstreams and owe stakeholders a one-page status. Prompt the AI to produce a structured update with RAG per stream, progress lists, and risks with owners and mitigations. Keep it scannable and ready to paste into an email or doc.
Everyday AI: Practical Prompting › Stage 5: Rapid Workplace Deliverables
Add Two Numbers
You need a quick desk calculator for ad‑hoc numbers. Ask the AI for a Python script that reads two inputs, converts them to numbers, and prints their sum with a clear label. Plain‑text output only.
Python Fundamentals by Doing › Stage 1: Variables, Input, and Output
Age In Months
A pediatric form needs age in months. Prompt the AI for a Python script that reads age in years, converts it, and prints months as an integer with a label. Only plain text.
Python Fundamentals by Doing › Stage 1: Variables, Input, and Output
Greet With Variables
You're preparing a personalized welcome banner for an internal tool. Prompt the AI to produce a tiny Python script that defines a name variable and prints a greeting. The code should be runnable as plain text.
Python Fundamentals by Doing › Stage 1: Variables, Input, and Output
Even Or Odd
Classify a user-entered number as even or odd for a quick data intake check. Prompt the AI for a Python script that reads one integer and prints a single label.
Python Fundamentals by Doing › Stage 2: Branching and Logic
Ticket Pricing Rules
Implement venue ticket pricing based on age bands so staff can quote a price instantly. Ask for a Python script that validates age and prints only the dollar amount based on the rules.
Python Fundamentals by Doing › Stage 2: Branching and Logic
Sum A List
You’re reviewing expenses typed as comma-separated numbers. Produce a Python script that reads one line, splits on commas, converts each to numbers, and prints the sum with a label.
Python Fundamentals by Doing › Stage 3: Loops and Collections
Linear Search Index
Quickly locate an item's position in a list. Write a script that reads a comma-separated list and a separate target, then prints the index of the first match or -1.
Python Fundamentals by Doing › Stage 4: Practical Algorithms
Palindrome Checker
Check whether a phrase reads the same after cleaning punctuation and case. Create a script that normalizes input and prints a single label indicating if it is a palindrome.
Python Fundamentals by Doing › Stage 4: Practical Algorithms
Bubble Sort Demo
See how comparison-based sorting works under the hood. Write a script that bubble-sorts comma-separated integers from input and prints the sorted values in one comma-separated line.
Python Fundamentals by Doing › Stage 4: Practical Algorithms
Contact Search
Make a tiny contact lookup tool. With an in-code list of names and phones, read a search term and print matching contacts as Name - Phone using case-insensitive substring search.
Python Fundamentals by Doing › Stage 5: Practical Mini Apps
SEO-friendly map
Every PractiqAI route in one place
Use the sitemap explorer to scan core pages, course hubs, and individual tasks. It’s designed for learners, teams, and search engines to understand the full PractiqAI surface area.
Coverage
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Entries are generated from the current build, reflecting the latest published tasks and posts.
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Shareable context
Copy the routes you need for onboarding, docs, or handoffs when introducing teammates to PractiqAI.
Featured paths
Courses worth bookmarking
Use these tracks as anchor points while you navigate the entire sitemap.
Everyday AI: Practical Prompting
Build reliable, real-life AI skills you’ll use daily. You’ll practice turning everyday goals into precise prompts that produce usable outputs—plans, messages, summaries, decisions, and simple reports. Short, focused tasks let you improve quickly and see immediate value. All deliverables are plain text.
Python Fundamentals by Doing
A gentle, hands-on path from zero programming to writing small, useful Python programs. You’ll learn variables, data types, decisions, loops, collections, and simple algorithms, then assemble them into practical mini‑apps. Every task asks you to prompt an AI to produce runnable code and is auto‑judged so you get immediate, concrete feedback.
Explore curated learning paths
The main catalog highlights general, unexpected, and specialized tracks for focused practice.
Open-access tasks
Launch a scenario right now
Pick a task directly from the sitemap and start practicing without friction.
Smart Grocery Consolidation
You’re planning a week of meals using what you already have. Produce a consolidated grocery list grouped by store sections with deduplicated items, quantities, and flagged substitutions. Output is plain text.
Goal to Checklist
You have a personal goal and need a concrete path to completion. Produce a sequenced checklist that shows dependencies, defines done for each step, and estimates a realistic timeline.
Diverse Blog Headlines
You’re preparing a blog post on a defined topic. Generate eight concise, stylistically varied headline options that avoid clickbait and stay within character limits.
Helpful links
Additional references while you browse
Pricing, release notes, and long-form guides are nearby if you need more context.
Compare PractiqAI plans
Review Free vs Pro perks, credits, and collaboration features before you upgrade.
Learn faster on the PractiqAI blog
Deep dives, workflow teardowns, and learning tactics directly from the product team.
See what shipped recently
Track quality-of-life fixes, new drills, and platform improvements in the changelog.