Master ALL 20 Agentic AI Design Patterns [Complete Course]
Mark Kashef
@mark_kashefAbout
I'm an AI expert (and mad scientist) with over 10 years in Data Science & NLP I've been running my AI Automation Agency, Prompt Advisers, for the past 2 years
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Video Description
Join My Community to Level Up ➡ https://www.skool.com/earlyaidopters/about 🚀 Gumroad Link to Assets in the Video: https://bit.ly/4nzkIVy 📅 Book a Meeting with Our Team: https://bit.ly/3Ml5AKW 🌐 Visit Our Website: https://bit.ly/4cD9jhG 🎬 Core Video Description What if you could learn the 20 agentic design patterns the pros actually use—without wading through a 400-page manual? In this practical 63-minute breakdown, I translate a Google engineer’s book into plain English and show you exactly how to apply each pattern in real workflows. You’ll see where each architecture shines, the tradeoffs that matter (cost, latency, failure modes), and quick ways to combine patterns for robust systems—so you can ship reliable agents faster and avoid over-engineering rabbit holes. Expect concise TL;DRs, labeled visuals, and a free repo packed with diagrams, ASCII flows, and Mermaid files to help you implement immediately. [Main Topic]: A practical, plain-English guide to 20 agentic design patterns [Key Benefits or Outcomes]: Understand when/why to use each pattern, reduce hallucinations and cost, add safety/quality gates, route work across models/agents, and ship production-ready automations with fewer retries and rollbacks [Tools or Techniques Covered]: Prompt chaining, routing, parallelization, reflection loops, tool use, planning/orchestration, multi-agent collaboration, memory management, learning/feedback, goal tracking, exception handling, human-in-the-loop, RAG, inter-agent comms, resource-aware model routing, reasoning strategies (CoT/ToT, debate), evaluation & monitoring, guardrails/safety, prioritization, exploration/discovery ⏳ TIMESTAMPS: 00:00 – Intro: Why agentic patterns separate pros from beginners 00:36 – What you’ll get: TL;DRs, visuals, free resources 00:54 – Pattern 1: Prompt Chaining (assembly-line steps & validations) 05:42 – Pattern 2: Routing (smart triage to specialist agents) 09:30 – Pattern 3: Parallelization (split, normalize, merge) 13:16 – Pattern 4: Reflection (critic → revise → pass) 15:51 – Pattern 5: Tool Use (discover, authorize, execute, fallback) 18:19 – Pattern 6: Planning (milestones, dependencies, constraints) 20:49 – Pattern 7: Multi-Agent Collaboration (manager + roles + shared memory) 23:45 – Pattern 8: Memory Management (short/episodic/long-term, retrieval) 26:42 – Pattern 9: Learning & Adaptation (feedback → prompts/policies/tests) 29:17 – Pattern 10: Goal Setting & Monitoring (KPIs, drift, course-correct) 31:34 – Pattern 11: Exception Handling & Recovery (classify, backoff, fallbacks) 34:11 – Pattern 12: Human-in-the-Loop (review cues & approvals) 36:01 – Pattern 13: Retrieval (RAG): parse, chunk, embed, rerank 38:14 – Pattern 14: Inter-Agent Communication (protocols, IDs, expiry) 43:08 – Pattern 15: Resource-Aware Optimization (route by cost/complexity) 46:35 – Pattern 16: Reasoning Techniques (CoT, ToT, self-consistency, debate) 49:57 – Pattern 17: Evaluation & Monitoring (golden sets, SLAs, drift) 52:44 – Pattern 18: Guardrails & Safety (PII, injection, sandboxing) 56:04 – Pattern 19: Prioritization (value×effort×urgency×risk, re-order) 59:29 – Pattern 20: Exploration & Discovery (map space, cluster, probe) 62:17 – Free Repo & Diagrams (ASCII + Mermaid) 63:08 – Final CTA: Share, comment, and join the community #AgenticAI #AIAgents #PromptEngineering #RAG #LLMEngineering #Automation #MCP #AIDesignPatterns #Evaluation #Guardrails #Routing #Parallelization #Reflection #AIforBusiness #WorkflowAutomation
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