Understand Agentic AI Fundamentals

Learn what makes an AI system an 'agent' and why agentic design is crucial

Apply Core Agentic Patterns

Implement key patterns like prompt chaining, planning, memory management, and tool use

Build Robust & Adaptive Agents

Design systems that handle exceptions, learn from feedback, and collaborate effectively with humans

About the Course

Calling all AI Practitioners, Data Scientists, Product Managers, Tech Leaders, and Advanced Learners! Dive into the world of Agentic AI Design. Gain practical skills in agent design while understanding core agentic patterns and applying them to real-world scenarios. By the end of this course, you'll be equipped to design safe, reliable, and adaptive AI systems with hands-on experience in agentic frameworks and coding exercises.

About the Creator

Meet Sam Zamany, founder of AI Engineering Academy. With over a decade of experience across AI, data engineering, and software engineering, Sam leads global AI Engineering, strategy and innovation at Boston Scientific—designing scalable systems that power real-world impact. Passionate about empowering others, Sam is dedicated to helping learners master modern AI engineering and build intelligent systems that shape the future.

Course Curriculum

11 Chapters · 77 Lessons

  1. 1

    Foundations of Agentic Systems

    1. (Included in full purchase)

      From LLMs to Agentic Systems & the Agentic Canvas

    2. (Included in full purchase)

      Defining Agentic Systems: Traits, Examples, and Challenges

    3. (Included in full purchase)

      Why Agentic Design Patterns Matter in This Course

    4. (Included in full purchase)

      How This Course Is Structured & The Framework Canvases

    5. (Included in full purchase)

      What Makes an AI System an Agent? The 5-Step Loop & Levels 0–3

    6. (Included in full purchase)

      The Future of Agents: Five Hypotheses & What This Course Prepares You For

    7. (Included in full purchase)

      Podcast: Foundations of Agentic Systems

  2. 2

    Prompt Chaining

    1. (Included in full purchase)

      The Limitations of Single-Prompt Strategies and the Emergence of Prompt Chaining

    2. (Included in full purchase)

      Designing Effective Prompt Chains — Sequential Decomposition and Role Assignment

    3. (Included in full purchase)

      Ensuring Data Integrity in Prompt Chains Through Structured Outputs

    4. (Included in full purchase)

      Practical Application Patterns for Prompt Chaining

    5. (Included in full purchase)

      Implementing Prompt Chains in Code — A Technical Exploration of Sequential LLM Workflows

    6. (Included in full purchase)

      Context Engineering and Strategic Deployment of Prompt Chaining

    7. (Included in full purchase)

      Podcast: Prompt Chaining in Agentic Design Patterns

  3. 3

    Routing

    1. (Included in full purchase)

      Why Routing Exists in Agentic Systems

    2. (Included in full purchase)

      What Routing Is and How It Works

    3. (Included in full purchase)

      The Core Routing Approaches in Agentic Systems

    4. (Included in full purchase)

      Where Routing Happens Inside an Agent Workflow

    5. (Included in full purchase)

      Practical Applications and Use Cases of Routing in Agentic Systems

    6. (Included in full purchase)

      Implementation Models of Routing Using LangChain/LangGraph and Google ADK

    7. (Included in full purchase)

      Podcast: Routing in Agentic Design Patterns

  4. 4

    Parallelization

    1. (Included in full purchase)

      Why Parallelization Exists in Agentic Systems

    2. (Included in full purchase)

      What Parallelization Is & the Core Concept of Concurrent Execution

    3. (Included in full purchase)

      How to Identify Tasks That Can Run in Parallel

    4. (Included in full purchase)

      Practical Applications and Use Cases of Parallelization

    5. (Included in full purchase)

      Framework Support for Parallelization in Modern Agent Systems

    6. (Included in full purchase)

      Implementation Examples of Parallelization Using LangChain, LangGraph, and Google ADK

    7. (Included in full purchase)

      Podcast: Parallelization in Agentic Design Patterns

  5. 5

    Reflection

    1. (Included in full purchase)

      Why Reflection Exists in Agentic Systems: Motivation and Purpose

    2. (Included in full purchase)

      What Reflection Is: The Reflection Loop and Core Mechanics

    3. (Included in full purchase)

      The Producer–Critic Model: Structured Roles for Reflection

    4. (Included in full purchase)

      Reflection in the Larger Agent Architecture: Goals, Monitoring, Memory, and Trade-Offs

    5. (Included in full purchase)

      Practical Applications and Use Cases of the Reflection Pattern

    6. (Included in full purchase)

      Implementation Examples of the Reflection Pattern

    7. (Included in full purchase)

      Podcast: Reflection in Agentic Design Patterns

  6. 6

    Tool Use (Function Calling)

    1. (Included in full purchase)

      Conceptual Foundations of Tool Use

    2. (Included in full purchase)

      From Function Calling to Tool Calling & Framework Support

    3. (Included in full purchase)

      Practical Applications & Use Cases of the Tool Use Pattern

    4. (Included in full purchase)

      Practical Applications & Use Cases of the Tool Use Pattern

    5. (Included in full purchase)

      Hands-On Tool Use with CrewAI

    6. (Included in full purchase)

      Hands-On Tool Use with Google ADK

    7. (Included in full purchase)

      Podcast: Tool Use (Function Calling) in Agentic Design Patterns

  7. 7

    Planning

    1. (Included in full purchase)

      Conceptual Foundations of the Planning Pattern

    2. (Included in full purchase)

      When and Why to Use the Planning Pattern

    3. (Included in full purchase)

      Practical Applications of the Planning Pattern

    4. (Included in full purchase)

      Hands-On Planning with CrewAI

    5. (Included in full purchase)

      Multi-Stage Planning in Google DeepResearch

    6. (Included in full purchase)

      Programmatic Planning with OpenAI Deep Research and Related APIs

    7. (Included in full purchase)

      Podcast: Planning in Agentic Design Patterns

  8. 8

    Multi-Agent Collaboration

    1. (Included in full purchase)

      Introduction to Multi-Agent Collaboration

    2. (Included in full purchase)

      Collaboration Models in Multi-Agent Systems

    3. (Included in full purchase)

      Structural Models of Agent Interactions

    4. (Included in full purchase)

      Practical Applications of Multi-Agent Collaboration

    5. (Included in full purchase)

      Implementing Multi-Agent Collaboration with CrewAI

    6. (Included in full purchase)

      Implementing Advanced Multi-Agent Collaboration with Google ADK

    7. (Included in full purchase)

      Podcast: Multi Agent Collaboration

  9. 9

    Memory Management

    1. (Included in full purchase)

      Foundations of Agent Memory — Short-Term and Long-Term Memory in Intelligent Agents

    2. (Included in full purchase)

      Practical Applications and Use Cases of Memory in Intelligent Agents

    3. (Included in full purchase)

      Session and SessionService in the Google ADK — Foundations of Short-Term Memory Management

    4. (Included in full purchase)

      State in ADK — The Session’s Working Memory for Intelligent Agent Interactions

    5. (Included in full purchase)

      Long-Term Memory in Intelligent Agents — Architecture, Semantics, and Implementation in the Google ADK

    6. (Included in full purchase)

      Memory Management Across LangChain, LangGraph, and Vertex AI Memory Bank

    7. (Included in full purchase)

      Podcast: Memory Management in Agentic Design Patterns

  10. 10

    Learning and Adaptation

    1. (Included in full purchase)

      The Imperative of Learning and Adaptation in Agentic Systems

    2. (Included in full purchase)

      Foundations of Agent Learning

    3. (Included in full purchase)

      Fast Adaptation in LLM-Based Agents — Few-Shot and Zero-Shot Learning

    4. (Included in full purchase)

      Continuous Adaptation through Online & Memory-Based Learning

    5. (Included in full purchase)

      Safe Policy Improvement & Preference Alignment through PPO and DPO

    6. (Included in full purchase)

      Self-Improving & Evolutionary Agents — Mechanisms for Long-Term Autonomous Adaptation

    7. (Included in full purchase)

      Podcast: Learning & Adaptation in Agentic Design Patterns

  11. 11

    Model Context Protocol (MCP)

    1. (Included in full purchase)

      Why the Model Context Protocol (MCP) Exists

    2. (Included in full purchase)

      MCP vs. Tool Function Calling — Choosing the Right Integration Model for Agentic Systems

    3. (Included in full purchase)

      Core MCP Concepts — Resources, Tools & Prompts

    4. (Included in full purchase)

      MCP Architecture & Interaction Flow — How Agents Access and Use External Capabilities

    5. (Included in full purchase)

      Practical Applications of MCP — Real-World Workflows & Agentic Use Cases

    6. (Included in full purchase)

      Building & Consuming MCP Servers — Operationalizing Agent Access to External Capabilities

    7. (Included in full purchase)

      Podcast: Model Context Protocol (MCP) in Agentic Design Patterns

Ready to Dive Into Agentic AI Design?

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