Agentic AI
Module 6 Lesson 2: Graph-Based Agent Architecture
Designing the flowchart of intelligence. Understanding nodes, edges, and state transitions.
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Module 6 Lesson 3: Nodes, Edges, and State
The building blocks of LangGraph. Learning how to write functions that play nice with the graph schema.
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Module 6 Lesson 4: Deterministic Execution
Stability in the graph. Using edges and state counters to prevent infinite loops and ensure predictable behavior.
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Module 6 Lesson 5: Entry, Exit, and Guard Nodes
Managing the perimeter. Using specialized nodes to filter inputs and validate final results.
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Module 6 Wrap-up: Migrating to the Graph
Hands-on: Convert a simple LangChain AgentExecutor into a controlled LangGraph workflow.
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Module 7 Lesson 1: Conditional Routing
The logic of the graph. Mastering how to route control based on tool calls, state variables, and LLM output.
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Module 7 Lesson 2: Loop Guards
Setting boundaries. How to implement hard limits on cycles and token usage within your agent graphs.
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Module 7 Lesson 3: Retry and Fallback Nodes
Resilience by design. How to handle tool failures and rate limits within the agent graph.
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Module 7 Lesson 4: Validation Nodes
The zero-trust agent. How to implement verification steps that ensure output quality before finishing.
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Module 7 Lesson 5: Human Approval Nodes
The pause button. Implementing 'interrupts' that allow humans to review and edit agent state before final actions.
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Module 7 Wrap-up: The Master of Graphs
Hands-on: Build a complex research agent with routing, loop guards, and a validation gate.
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Module 8 Lesson 1: What CrewAI Is
From single actors to ensemble casts. Understanding the specialized role-playing framework for multi-agent systems.
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Module 8 Lesson 2: Roles and Responsibilities
Designing the persona. How to write effective Roles, Goals, and Backstories to maximize agent performance.
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Module 8 Lesson 3: Task Decomposition
Breaking it down. How to turn a complex project into a set of discrete, delegated Tasks in CrewAI.
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Module 8 Lesson 4: Agent Collaboration Models
Sequential vs. Hierarchical. Choosing the right organizational structure for your agent team.
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Module 8 Lesson 5: Communication Patterns
How agents share data. Understanding context passing, memory sharing, and the 'Kitchen' environment in CrewAI.
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Module 8 Wrap-up: Your First AI Crew
Hands-on: Build a two-agent research crew that identifies tech trends and writes a report.
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Module 9 Lesson 1: What StrandAgents Are
The lightweight alternative. Understanding the event-driven, streaming-first architecture of StrandAgents.
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Module 9 Lesson 2: Event-Driven Agent Design
Reacting in real-time. How to design agents that trigger actions based on external signals rather than internal loops.
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Module 9 Lesson 3: Stateless vs Stateful Agents
Choosing your memory model. When to build agents that remember the past vs agents that treat every event as new.
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Module 9 Lesson 4: Streaming and Async Behavior
Zero latency. Understanding how to build agents that speak while they think using async Python and SSE.
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Module 9 Lesson 5: When StrandAgents Make Sense
Choosing the right tool. Understanding when to use event-driven strands over complex graphs or crews.
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Module 9 Wrap-up: Engineering for Real-Time
Hands-on: Build an event-driven agent pipeline that detects toxicity and triggers a response.
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