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Master LangChain with Adaptive AI.

Master LangChain across 15 topics - Foundations, Rag and Retrieval, and Agents and Production - guided by Leyaa's adaptive intelligence.

3Parts
15Topics
104Patterns
25hEst. duration
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LangChain
LangChain Course
3 - part learning journey
Beginner
Foundations
5 topics · 34 patterns
Beginner
Intermediate
Rag and Retrieval
5 topics · 35 patterns
Intermediate
Advanced
Agents and Production
5 topics · 35 patterns
Advanced
Begin Part 1: Foundations
✦ Course Structure

Your LangChain Journey in 3 Parts

Each part builds on the last - a deliberate progression from beginner to advanced.

Beginner
Beginner
Part 1: Foundations
Covers LangChain Fundamentals, LLM and Chat Model Integration, Prompt Templates and 2 more topics.
5Topics
34Patterns
View topics
Intermediate
Intermediate
Part 2: Rag and Retrieval
Covers Document Loading, Text Splitting, Embeddings and Vector Stores and 2 more topics.
5Topics
35Patterns
View topics
Advanced
Advanced
Part 3: Agents and Production
Covers LangChain Agents, LangGraph for Stateful Agents, LangSmith Observability and 2 more topics.
5Topics
35Patterns
View topics
Curriculum

Everything You'll Learn

Explore every topic and pattern in the course.

LangChain

3 parts · 15 topics · 104 patterns
Beginner
Part 1: Foundations5 topics · 34 patterns
Beginner
01
LangChain Fundamentals
6 patterns
What is LangChain
Why LangChain simplifies LLM application development
LangChain architecture overview
Installing and setting up LangChain
LangChain vs direct API calls
LangChain ecosystem (LangSmith, LangGraph, LangServe)
02
LLM and Chat Model Integration
7 patterns
Why model abstraction matters
Connecting to OpenAI models
Connecting to Anthropic Claude
Connecting to open-source models
Model parameters (temperature, max tokens)
Streaming responses
Handling rate limits and errors
03
Prompt Templates
7 patterns
Why templates create reusable prompts
PromptTemplate basics
ChatPromptTemplate for conversations
Variables and dynamic content
Few-shot prompt templates
Partial prompt templates
Prompt composition and chaining
04
Output Parsers
7 patterns
Why structured output matters
StrOutputParser for text
JsonOutputParser for structured data
PydanticOutputParser for typed objects
CommaSeparatedListOutputParser
Handling parsing failures
Auto-fixing malformed output
05
Chains and LCEL
7 patterns
What is a chain in LangChain
LangChain Expression Language (LCEL) basics
Pipe operator for chain composition
RunnablePassthrough and RunnableLambda
Sequential chains
Parallel execution with RunnableParallel
Error handling in chains
Intermediate
Part 2: Rag and Retrieval5 topics · 35 patterns
Intermediate
01
Document Loading
7 patterns
Why document loading is the RAG foundation
Loading PDFs with PyPDFLoader
Loading web pages with WebBaseLoader
Loading CSV and Excel files
Loading from databases
Directory loader for bulk documents
Custom document loaders
02
Text Splitting
7 patterns
Why chunk size affects retrieval quality
RecursiveCharacterTextSplitter
Token-based splitting
Semantic chunking strategies
Overlap and chunk boundaries
Code-aware text splitting
Metadata preservation during splitting
03
Embeddings and Vector Stores
8 patterns
Why embeddings capture semantic meaning
OpenAI embeddings
Open-source embedding models
Chroma vector store setup
FAISS vector store setup
Pinecone cloud vector store
Similarity search vs MMR retrieval
Metadata filtering in vector stores
04
RAG Chain Construction
7 patterns
Why the RAG chain connects retrieval to generation
Basic RAG chain with LCEL
Context formatting and injection
Source citation in RAG responses
Multi-query retrieval for better recall
Contextual compression
Hybrid search (keyword + semantic)
05
Conversational RAG
6 patterns
Why conversation history improves RAG
Chat history management
Question reformulation with history
Memory-augmented retrieval
Handling follow-up questions
Session management for multi-user RAG
Advanced
Part 3: Agents and Production5 topics · 35 patterns
Advanced
01
LangChain Agents
7 patterns
Why agents add autonomy to LLM apps
Creating tools for agents
AgentExecutor setup and configuration
ReAct agent implementation
OpenAI functions agent
Structured chat agent
Custom agent logic
02
LangGraph for Stateful Agents
7 patterns
Why LangGraph handles complex agent flows
Graph nodes and edges
State schema definition
Conditional routing in graphs
Human-in-the-loop with LangGraph
Checkpointing and persistence
Multi-agent graphs
03
LangSmith Observability
7 patterns
Why observability is essential for LLM apps
Setting up LangSmith tracing
Viewing trace details and latency
Debugging failed chains
Comparing prompt versions
Cost tracking across runs
Feedback collection and annotation
04
Evaluation and Testing
7 patterns
Why evaluation prevents production failures
Creating evaluation datasets
LangSmith evaluators
Custom evaluation metrics
Regression testing for chains
A/B testing prompt variations
Automated evaluation pipelines
05
Production Deployment
7 patterns
Why deployment needs careful planning
LangServe for API deployment
FastAPI integration patterns
Streaming in production
Caching strategies for cost reduction
Rate limiting and authentication
Monitoring and alerting in production
Why Leyaa

Not just a course. A learning intelligence.

Leyaa doesn't just deliver content - it understands where you are, what you need, and how to get you there fastest.

Adaptive Diagnostics
Adaptive Diagnostics
Leyaa identifies which of the 104 patterns you've mastered and which need work - before you waste time on what you already know.
Pattern-Level Precision
Pattern-Level Precision
Every pattern gets a verdict - Learn, Practice, or Skip - so your study time goes exactly where it counts.
Intelligent Pacing
Intelligent Pacing
Leyaa reads your velocity across the whole course and adapts your focus list dynamically, keeping you in the optimal learning zone.
Before & After Visibility
Before & After Visibility
Every assessment creates a snapshot. Retake anytime to see exactly how much you've grown - topic by topic, pattern by pattern.
Learner Autonomy
Learner Autonomy
Leyaa recommends, never restricts. Override any suggestion and explore at your own pace - the system tracks everything regardless.
Clear Learning Path
Clear Learning Path
Foundations → Rag and Retrieval → Agents and Production - a structured journey where each part sets you up perfectly for the next.
LangChain

Ready to master LangChain?
Start your journey today

Start your diagnostic now. Build mastery across all 15 topics in under 15 minutes.

15 Topics
104 Patterns
Personalized roadmap
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