Learn AI Agents Downloads & RevenueLearn AI Agents: Agentic AI · Google Play
Not in a tracked Google Play top chart right now.
Updated 3 Nov 2026 · rankings refresh through the day
DeveloperCoddykit
CategoryEducation
PriceFree
Released
Installs1k+
Rating★ 4.7 (33)
Updated
Content ratingEveryone
Learn AI Agents: Agentic AI update history & changes
Last change · 5 events since 16 Feb 2026Full timeline ↓🆕First spotted by AppInsider📦Version 82.6.2🆕Its developer released another app: Learn Electronics & Arduino
Full timeline · 5 events
- 🆕Learn AI Agents: Agentic AI first spotted by AppInsiderUnited States (found via search)
- 📦Learn AI Agents: Agentic AI version 82.6.2• Refreshed look and smoother experience across the app
• Improved translations — lessons and screens in your language
Thanks for learning with us — your reviews help us improve! - 🆕Learn AI Agents: Agentic AI: its developer released another app: Learn Electronics & Arduino
- 🆕Learn AI Agents: Agentic AI: its developer released another app: HackLab: Hacker Simulator Game
- 🆕Learn AI Agents: Agentic AI released on Google Play
Collected from the stores by AppInsider since we first spotted the app. Dates are when we saw each change.
Rating
4.7 ★
33 ratings
Measured
Learn AI Agents: Agentic AI on Google Play
App details
App ID
com.coddykit.learn.ai.agents
Publisher
MEHMET CANKER
Publisher country
Türkiye
Content rating
Everyone
Learn AI Agents: Agentic AI downloads
Worldwide, per day, and installs to date. The band is open; the exact number is free with an account.
How this is calculated
Google Play shows an exact lifetime install count; downloads per day are its daily change (measured). When Play hasn't refreshed the count, they come from new ratings and Top Free chart positions. Confidence is the chance the real number is within half to double ours.
Active users
All platforms, worldwide. Free with an account.
Stickiness (DAU / MAU)
how many monthly users open it on a given day
How this is calculated
Monthly users come from lifetime installs across every store, fitted on monthly active user figures companies publish; daily users = monthly × the typical daily/monthly ratio for the category. Confidence is the chance the real number is within half to double ours.
Business model: Ad-led
How Learn AI Agents: Agentic AI makes money: subscriptions, one-off purchases and ads.
In-app purchasesAds
One-off purchases
/mo
of revenue
Ads
/mo
of revenue
Where it ranks on Google Play
Every top 200 chart it appears in across 23 countries.
| Country | Charts | Rank |
|---|---|---|
| Not in a Google Play top chart right now. | ||
Ratings
Google Play, worldwide.
Rating
4.7 ★
33 ratings
Measured
Ratings
33
Measured
Written reviews
2
Measured
About Learn AI Agents: Agentic AI
Learn how AI agents work, then build your own. Learn AI Agents is a hands-on course on your phone: short lessons on LLMs, tool calling, RAG and multi-agent systems, a lab where you run real agents and watch every step, and an AI mentor for the moments you get stuck.
No machine learning background needed. The lessons start from "what is an LLM agent?" and build up one step at a time, with real Python code from the first course. Think of it as an agentic AI tutorial you can follow five minutes at a time, on the bus or between meetings.
WHAT YOU WILL LEARN
• Under the hood: goal, tools, memory, steps and the final answer
• Tool calling and function calling with real Python examples
• Prompt engineering: system prompts, guardrails and step budgets
• RAG and vector databases: answer questions from your own documents
• Memory, planning and the ReAct loop
• Multi-agent orchestration: pipelines, routers, parallel workers and critic loops
• LangChain, LangGraph and LlamaIndex patterns next to plain OpenAI and Anthropic API code
• Evaluation, cost control, prompt injection and other safety risks
• Computer use, governance and where the field is heading
AN AGENT LAB IN YOUR POCKET
• Live runs: give an agent a task and watch each tool call, result and answer appear step by step
• Agent Builder: pick a system prompt, tools, a step budget and a task, then save your own agents
• Orchestration Lab: compare five patterns side by side — single agent, sequential pipeline, router, parallel fan-out and generator with critic
• Trace viewer: read every run like a debugger and see exactly where it went wrong
• Daily drill: one short question a day that keeps your streak alive
PRACTICE, NOT JUST THEORY
• 200+ bite-sized lessons across 60 courses, 5–10 minutes each
• Hundreds of Python examples you can run right inside the lesson
• Lab missions: make your first tool call, fix a broken call, read a trace, add a guardrail, route a task and split work across parallel agents
• A quiz in every lesson to check what you learned
• Certificate of completion: pass the final exam and show your skills
YOUR AI MENTOR
Not sure why your bot picked the wrong tool? Confused by embeddings or a Python error? Ask the mentor and get a clear answer in seconds, in plain language. No question is too basic.
WHO IT'S FOR
• Developers who want to build LLM apps and autonomous agents
• Beginners and students curious about agentic AI and automation
• Product managers and founders who want to know what automation can and cannot do
• Anyone moving toward an AI engineering or developer role
WHY AGENTIC AI?
An agent does more than chat. It plans, calls tools, reads results and decides what to do next. That is where automation is heading. Knowing how such systems fail is as important as knowing how they work. This course teaches both: you watch runs succeed, you watch them break, and you learn the guardrails that keep them honest.
HOW IT WORKS
1. Start with the free first course and learn the buil
No machine learning background needed. The lessons start from "what is an LLM agent?" and build up one step at a time, with real Python code from the first course. Think of it as an agentic AI tutorial you can follow five minutes at a time, on the bus or between meetings.
WHAT YOU WILL LEARN
• Under the hood: goal, tools, memory, steps and the final answer
• Tool calling and function calling with real Python examples
• Prompt engineering: system prompts, guardrails and step budgets
• RAG and vector databases: answer questions from your own documents
• Memory, planning and the ReAct loop
• Multi-agent orchestration: pipelines, routers, parallel workers and critic loops
• LangChain, LangGraph and LlamaIndex patterns next to plain OpenAI and Anthropic API code
• Evaluation, cost control, prompt injection and other safety risks
• Computer use, governance and where the field is heading
AN AGENT LAB IN YOUR POCKET
• Live runs: give an agent a task and watch each tool call, result and answer appear step by step
• Agent Builder: pick a system prompt, tools, a step budget and a task, then save your own agents
• Orchestration Lab: compare five patterns side by side — single agent, sequential pipeline, router, parallel fan-out and generator with critic
• Trace viewer: read every run like a debugger and see exactly where it went wrong
• Daily drill: one short question a day that keeps your streak alive
PRACTICE, NOT JUST THEORY
• 200+ bite-sized lessons across 60 courses, 5–10 minutes each
• Hundreds of Python examples you can run right inside the lesson
• Lab missions: make your first tool call, fix a broken call, read a trace, add a guardrail, route a task and split work across parallel agents
• A quiz in every lesson to check what you learned
• Certificate of completion: pass the final exam and show your skills
YOUR AI MENTOR
Not sure why your bot picked the wrong tool? Confused by embeddings or a Python error? Ask the mentor and get a clear answer in seconds, in plain language. No question is too basic.
WHO IT'S FOR
• Developers who want to build LLM apps and autonomous agents
• Beginners and students curious about agentic AI and automation
• Product managers and founders who want to know what automation can and cannot do
• Anyone moving toward an AI engineering or developer role
WHY AGENTIC AI?
An agent does more than chat. It plans, calls tools, reads results and decides what to do next. That is where automation is heading. Knowing how such systems fail is as important as knowing how they work. This course teaches both: you watch runs succeed, you watch them break, and you learn the guardrails that keep them honest.
HOW IT WORKS
1. Start with the free first course and learn the buil
What's new in 82.6.2
• Refreshed look and smoother experience across the app
• Improved translations — lessons and screens in your language
Thanks for learning with us — your reviews help us improve!
• Improved translations — lessons and screens in your language
Thanks for learning with us — your reviews help us improve!