learn.agenticoutputs.com

Agentic AI
Engineering.

From KV-cache mechanics and prompt theory to self-healing multi-agent production systems. 15 modules, 5 phases, no hand-holding.

Beginner soon·Intermediate soon·Master Track →
15Modules
5Phases
57Lessons

Master prerequisites

  • Python fluency
  • REST API experience
  • Linux comfort
  • Docker basics
Master Track — 5 phases
Phase 1
Core Foundations
Prompting · Frontier APIs · Rate Limiting · Local LLMs
Phase 2
Data Contracts & Safety
OpenAPI 3.0 · Pydantic v2 · Vector Storage
Phase 3
Retrieval & Security
Advanced RAG · Event Automation · gVisor Sandbox
Phase 4
Cognitive Architectures
Cloud GPUs · LangGraph · Hermes Paradigm
Phase 5
Production & UX
API Gateway · Streaming UI · Observability
What you'll ship
M12Hermes Self-Improving AgentRewrites its own system prompt based on failure analysis.M11Stateful LangGraph WorkflowMulti-agent graph with checkpoint rollbacks and HITL gates.M07Production RAG PipelineHyDE + BM25 hybrid retrieval, cross-encoder reranking.M09gVisor Sandboxed ExecutorKernel-level isolation for agent-generated code execution.M15Observability StackOpenTelemetry tracing + Langfuse LLM-as-Judge scoring.M14Streaming Agent UIReal-time cognitive trace rendering via WebSockets + SSE.

Watch & Learn

Curated videos that pair with each phase of the curriculum.

LangChain vs LangGraph: A Tale of Two Frameworks
▶
9:55
Frameworks
LangChain vs LangGraph: A Tale of Two Frameworks
IBM Technology · 560K views
Building Stateful Multi-Agent Systems with LangGraph
▶
40:23
Frameworks
Building Stateful Multi-Agent Systems with LangGraph
Krish Naik · 141K views
What is Retrieval-Augmented Generation (RAG)?
▶
6:36
Retrieval
What is Retrieval-Augmented Generation (RAG)?
IBM Technology · 1.9M views
Understanding RAG — Retrieval-Augmented Generation
▶
20:40
Retrieval
Understanding RAG — Retrieval-Augmented Generation
Krish Naik · 288K views
Local AI Just Leveled Up: Llama.cpp vs Ollama
▶
14:41
Local LLMs
Local AI Just Leveled Up: Llama.cpp vs Ollama
Alex Ziskind · 260K views
Your Local LLM Is 10x Slower Than It Should Be
▶
11:02
Local LLMs
Your Local LLM Is 10x Slower Than It Should Be
Alex Ziskind · 173K views
Claude Code: Build Your First AI Agent
▶
25:38
Agents
Claude Code: Build Your First AI Agent
Teacher's Tech · 261K views
Claude AI Full Tutorial: From Basics to Agentic AI
▶
14:21
Agents
Claude AI Full Tutorial: From Basics to Agentic AI
The AI Productivity Coach · 99K views
Langfuse: Open Source LLM Observability & Evaluation
▶
10:10
Observability
Langfuse: Open Source LLM Observability & Evaluation
Langfuse · 46K views
LLM Observability with OpenTelemetry – Ultimate Guide
▶
9:20
Observability
LLM Observability with OpenTelemetry – Ultimate Guide
Agenta AI · 1K views
Google's AI Prompt Engineering Course in 20 Minutes
▶
20:17
Prompting
Google's AI Prompt Engineering Course in 20 Minutes
Tina Huang · 1.8M views
The Advanced 2026 Guide to Prompt Engineering
▶
22:28
Prompting
The Advanced 2026 Guide to Prompt Engineering
AI Master · 190K views
Learning resources
CourseChatGPT Prompt Engineering for DevelopersDeepLearning.AICourseAI Agents in LangGraphDeepLearning.AICourseBuilding Agentic RAG with LlamaIndexDeepLearning.AICourseMulti AI Agent Systems with crewAIDeepLearning.AICoursePractical Deep Learning for Codersfast.aiCourseHugging Face NLP CourseHugging FaceCourseLangGraph AcademyLangChainChannelAndrej KarpathyYouTubeChannel3Blue1BrownYouTubeChannelLangChainYouTubeChannelAnthropicYouTubeChannelYannic KilcherYouTubeDocsAnthropic Prompt Engineering GuideAnthropic DocsDocsLangGraph DocumentationLangChain DocsDocsLangfuse DocumentationLangfuseDocsPydantic v2 DocumentationPydanticPaperAttention Is All You NeedVaswani et al. 2017PaperReAct: Synergizing Reasoning and ActingYao et al. 2022PaperConstitutional AI: Harmlessness from AI FeedbackAnthropic 2022PaperToolformer: Language Models Can Teach Themselves to Use ToolsSchick et al. 2023