Udemy - Kotlin AI Agents with Koog - Build Agentic AI Apps on the JVM

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Udemy - Kotlin AI Agents with Koog - Build Agentic AI Apps on the JVM (Size: 1.3 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - What Agentic AI Really Is
  1 - Concept check.html 18.6 KB
  1 - Welcome What You'll Build & How to Use This Course.mp4 5.9 MB
  2 - LLM Call vs. AI Agent The Mental Model.mp4 16.4 MB
  2 - Set Up Your Project & Run Your First Agent
  10 - Installing Ollama (Free, Local Models).html 8.2 KB
  11 - Free & Local Running on Ollama.mp4 48.8 MB
  12 - Mini-assignment.html 6.1 KB
  2 - Quiz & Assignment.html 19.4 KB
  3 - LLM Fundamentals & Structured Output
  13 - Prompts, Context Windows & Cost — Just Enough.mp4 18.6 MB
  14 - Get Typed Results Structured Output with @Serializable.mp4 48.8 MB
  15 - Tuning Behavior System Prompt & Temperature.mp4 38.5 MB
  3 - Quiz & Assignment.html 19.2 KB
  4 - Give Your Agent Hands Tools & Tool-Calling
  16 - How Tool-Calling Works (Schema from Kotlin Types).mp4 14.6 MB
  17 - Write Your First Tool with @Tool & @LLMDescription.mp4 77.7 MB
  18 - A Multi-Tool Dev Helper.mp4 30.9 MB
  19 - Parallel Tool Calls & Streaming Output.mp4 84.9 MB
  20 - Coding assignment Give Dev Helper a watch!.html 6.4 KB
  4 - Quiz & Assignment.html 19.3 KB
  5 - Control the Flow Graph Workflows
  21 - Functional vs. Graph vs. LLM-Driven.mp4 17.2 MB
  22 - Build a Graph Strategy Nodes & Edges.mp4 80.7 MB
  23 - Conditional Edges & Loops (Retry on Failure).mp4 108.9 MB
  5 - Graph Workflows Quiz.html 19.7 KB
  6 - Make It Reliable Persistence, Compression, Memory & RAG
  24 - Why Agents Fail in Production.mp4 10.1 MB
  25 - Checkpointing & Persistence.mp4 32.2 MB
  26 - History Compression for Cost Control.mp4 41.2 MB
  27 - Answering from Your Docs RAG as a Tool.mp4 114.4 MB
  28 - Cross-Session Memory (brief).mp4 50.7 MB
  29 - Extra assignment Index a second doc folder.html 6.1 KB
  6 - Quiz for Persistance, Compression, Memory and RAG.html 19.5 KB
  7 - Connect to the World MCP, Multi-Provider & Local
  30 - The Model Context Protocol Explained.mp4 14.1 MB
  31 - Prerequisite Install Node.js (for MCP) (required).html 7.8 KB
  32 - Plug In MCP Tools with the Kotlin MCP SDK.mp4 65.9 MB
  33 - Swap Providers Without Losing History.mp4 41.8 MB
  34 - A2A & ACP in 5 Minutes.mp4 16.5 MB
  7 - MCP Quiz.html 19.4 KB
  8 - Ship It Ktor Deployment, Observability & Production
  35 - Embed Your Agent in a Ktor Endpoint.mp4 85.4 MB
  36 - See Everything OpenTelemetry + Langfuse.mp4 77.2 MB
  37 - Guardrails, Cost & Basic Evaluation.mp4 49.7 MB
  38 - Multiplatform, Junie & Where to Go Next.mp4 20 MB
  39 - Final project Make Dev Helper yours.html 6.5 KB
  8 - Ktor and Observability Quiz.html 19.3 KB
  5 - The Kotlin AI Stack Where Koog Fits.mp4 16.6 MB
  6 - Setting Your OpenAI API Key (optional but helpful).html 7.6 KB
  7 - What You Need Installed(Requirements).html 8.8 KB
  8 - Create the Project & Add Koog.mp4 41.7 MB
  8 - Github Repo.url 102.4 B
  9 - Your First Agent in 5 Lines.mp4 30.5 MB
  3 - The Agent Loop, Tools & Autonomy.mp4 3.9 MB
  4 - Meet Koog, Agent Anatomy & the Roadmap.mp4 31.2 MB

Description


Kotlin AI Agents with Koog: Build Agentic AI Apps on the JVM
https://WebToolTip.com
Published 7/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 2h 47m | Size: 1.3 GB
From your first agent to a production Ktor endpoint — tools, RAG, MCP & local models, all in idiomatic Kotlin (Koog 1.0)
What you'll learn

Build production-ready AI agents in Kotlin with Koog — JetBrains' open-source JVM agent framework — from your first agent to a deployed service.

Give agents real capabilities: custom tools, tool-calling, structured typed output, and multi-step graph workflows you design and control.

Run agents for free on your own machine with local models via Ollama — no mandatory API costs to learn and experiment.

Make agents reliable and smart: add persistence, history compression, cross-session memory, and RAG that answers from your own docs.

Connect agents to the outside world with MCP servers, and switch between OpenAI and local models mid-conversation without losing history.

Deploy your agent as a real web service with Ktor, then add observability, guardrails, and basic evaluation for production confidence.

Understand what AI agents really are — the agent loop, autonomy, and how they differ from a plain LLM call — with clear mental models.

Apply your skills across platforms: Koog is Kotlin Multiplatform, so the same agent code can target JVM backends, Android, and iOS
Requirements

Basic working knowledge of Kotlin — you can read and write functions, classes, and data classes. You do NOT need to be an expert.

No AI, machine learning, or data science background required — we explain every AI concept from scratch, in plain language.

That's the core. An OpenAI API key is helpful but optional — you can complete the course for free using local models with Ollama.

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