Module 1
Multi-Agent Architecture Patterns
Learn when and why multiple agents outperform a single monolithic workflow.
Lesson 1
Coordinator, Specialist, and Reviewer PatternsDecompose work across agents with clear responsibilities and handoffs.Lesson 2
Sequential vs. Parallel DelegationChoose the right execution pattern based on latency, coupling, and risk.Lesson 3
Shared Memory and State DesignManage agent context so collaborators stay aligned without context overload.Lesson 4
Conflict Resolution Between AgentsHandle disagreements, retries, and confidence scoring across outputs.Lesson 5
Evaluation Strategies for Agent TeamsMeasure orchestration quality with scenario-driven tests and review loops.Module 2
LangChain Deep Dive
Use LangChain components deliberately instead of assembling brittle chains by habit.
Lesson 1
Core Primitives That MatterWork with prompts, models, tools, retrievers, and output parsers effectively.Lesson 2
Building Composable ChainsCreate modular processing flows that stay testable as requirements grow.Lesson 3
Agents in LangChainImplement tool-using agents with clear state transitions and guardrails.Lesson 4
Callbacks, Tracing, and DebuggingInspect chain behavior and identify where orchestration breaks down.Lesson 5
When Not to Use LangChainRecognize cases where plain SDK code is simpler, faster, and easier to maintain.Module 3
LangGraph for Stateful Systems
Model complex workflows explicitly with graph-based state transitions.
Lesson 1
Thinking in Nodes and EdgesTranslate agent behavior into deterministic graph structures.Lesson 2
State Objects and ReducersDesign shared state that survives branching and iterative execution.Lesson 3
Conditional Routing and Recovery PathsBuild branches, retries, and fallbacks without losing clarity.Lesson 4
Human-in-the-Loop CheckpointsInsert approvals and review steps into stateful agent graphs.Lesson 5
Production Patterns with LangGraphPackage graph workflows for repeatable execution and observability.Module 4
AutoGen and Conversational Agent Systems
Explore agent conversations, negotiation patterns, and collaborative execution loops.
Lesson 1
AutoGen Concepts and RolesUnderstand assistants, users, executors, and conversation orchestration.Lesson 2
Designing Productive Agent DialoguesConstrain agent conversations so they converge instead of looping endlessly.Lesson 3
Tool-Augmented Group ChatsAdd code execution, search, and external APIs into multi-agent conversations.Lesson 4
Termination, Escalation, and ReviewDefine clear end conditions and fallback paths for collaborative agents.Lesson 5
Framework Comparison: AutoGen vs. Graph ApproachesChoose the right orchestration style for conversational or structured systems.Module 5
Prompt Engineering at System Scale
Move beyond single prompts to robust prompt systems that support orchestration.
Lesson 1
Instruction Hierarchy and Role DesignSeparate global behavior, task prompts, and tool guidance cleanly.Lesson 2
Prompt Templates for Reusable WorkflowsCreate prompt assets that can be versioned and shared across agents.Lesson 3
Structured Outputs and Schema ConstraintsReduce parsing failures with typed responses and explicit formats.Lesson 4
Adversarial Inputs and RobustnessDefend against prompt injection, irrelevant context, and instruction drift.Lesson 5
Prompt Evaluation and Regression TestingTreat prompts like code with repeatable tests and version-aware review.Module 6
Retrieval-Augmented Generation Systems
Design RAG pipelines that actually improve output quality instead of adding noise.
Lesson 1
RAG Architecture End to EndCover ingestion, chunking, indexing, retrieval, ranking, and answer synthesis.Lesson 2
Knowledge Base PreparationStructure source documents to support relevant retrieval at query time.Lesson 3
Retriever Tuning and Re-RankingImprove recall and precision with query rewriting and ranking strategies.Lesson 4
Grounded Generation PatternsForce citation-aware answers and reduce unsupported claims.Lesson 5
Evaluating RAG QualityMeasure retrieval accuracy, answer usefulness, and hallucination reduction.Module 7
Production Patterns and Reliability
Operationalize orchestration systems with monitoring, safeguards, and cost controls.
Lesson 1
Observability for Complex Agent FlowsTrack state changes, tool invocations, latency, and user-visible failures.Lesson 2
Retries, Timeouts, and Circuit BreakersKeep orchestration pipelines stable when models or dependencies misbehave.Lesson 3
Caching and Cost-Aware ExecutionReduce waste with result reuse, model routing, and selective depth.Lesson 4
Security and Compliance ConsiderationsAddress access control, auditability, and sensitive data handling.Lesson 5
Release Management for Agent SystemsDeploy changes safely with evaluation gates and rollback strategies.Module 8
Real-World Case Studies
Study how advanced orchestration patterns map to practical products and internal tools.
Lesson 1
Research and Intelligence WorkflowsAnalyze multi-step systems for synthesis, fact gathering, and reporting.Lesson 2
Developer Productivity AgentsReview orchestration patterns for code generation, review, and testing.Lesson 3
Customer Operations AutomationExamine ticket triage, response drafting, and escalation workflows.Lesson 4
Internal Knowledge and RAG AssistantsLook at search-heavy applications that blend retrieval with action taking.Lesson 5
Architecture Review WorkshopEvaluate tradeoffs across several production-inspired system designs.