top of page
Hero background

LangChain, AI Expert programLangChain for LLM Applications

Build powerful LLM-based applications with LangChain: prompt engineering, chaining workflows, RAG, vector databases, agents, memory and API integrations.

Book an appointmentCall 847-350-9034

12 modulesReal-world projectsHands-on labs

What you will build

From the first chain to production. 1

Fundamentals

Prompt templates, chains, output parsers, LLMs and embeddings.
2

Data and retrieval

Document loaders, splitting, vector databases, RAG chatbots.
3

Agents and memory

Conversation memory, tools, agents, AI assistants.
4

Production

API and database integrations, LangServe, LangSmith, LangGraph.

Detailed course content

Modules 1 to 12. 

Modules 1-3

✓What LangChain is and key concepts✓Environment setup: Python and API keys✓Prompt templates, chains, output parsers✓Overview of LLMs and embeddings✓Similarity search with embeddings

Modules 4-6

✓Document loaders: PDF, CSV, text, JSON, web✓Chunking and RecursiveCharacterTextSplitter✓Vector stores: FAISS, Chroma, Pinecone, Weaviate, Milvus✓Retrieval chains: stuff, map-reduce, refine✓Building and optimizing RAG chatbots

Modules 7-9

✓ConversationBufferMemory and SummaryMemory✓Entity memory✓Tools and agents: ReAct, conversational, tool-using✓API chains and SQL integration✓AWS Bedrock, Azure OpenAI, Google Vertex AI

Modules 10-12

✓LangServe: API deployment and routing✓LangSmith: tracing, debugging, observability✓Testing, monitoring and logging best practices✓LangGraph state-machine workflows✓Multi-agent systems and real-world projects

Support and salient features

Career support and classroom features that come with the course. 

Staffing support

✓Resume preparation✓Mock interview preparation✓Phone interview preparation✓Face to face interview preparation✓Project and technology preparation✓Internship with internal project work✓Externship with client project work

Our salient features

✓Hands-on labs and homework✓Group discussion and case study✓Course project work✓Regular quiz and exam✓Regular support beyond the classroom✓Students can re-take the class at no cost✓Dedicated conference rooms for group project work✓Live streaming for remote students✓Video recording to catch up on a missed class

Ready to build LLM apps?

Call 847-350-9034 or book an appointment to talk about this course and funding options.Book an appointmentCall 847-350-9034Education grant program

What you will build

From the first chain to production.1

Fundamentals

Prompt templates, chains, output parsers, LLMs and embeddings.
2

Data and retrieval

Document loaders, splitting, vector databases, RAG chatbots.
3

Agents and memory

Conversation memory, tools, agents, AI assistants.
4

Production

API and database integrations, LangServe, LangSmith, LangGraph.

Detailed course content

Modules 1 to 12.1

Modules 1-3

✓What LangChain is and key concepts✓Environment setup: Python and API keys✓Prompt templates, chains, output parsers✓Overview of LLMs and embeddings✓Similarity search with embeddings
2

Modules 4-6

✓Document loaders: PDF, CSV, text, JSON, web✓Chunking and RecursiveCharacterTextSplitter✓Vector stores: FAISS, Chroma, Pinecone, Weaviate, Milvus✓Retrieval chains: stuff, map-reduce, refine✓Building and optimizing RAG chatbots
3

Modules 7-9

✓ConversationBufferMemory and SummaryMemory✓Entity memory✓Tools and agents: ReAct, conversational, tool-using✓API chains and SQL integration✓AWS Bedrock, Azure OpenAI, Google Vertex AI
4

Modules 10-12

✓LangServe: API deployment and routing✓LangSmith: tracing, debugging, observability✓Testing, monitoring and logging best practices✓LangGraph state-machine workflows✓Multi-agent systems and real-world projects

Support and salient features

Career support and classroom features that come with the course.1

Staffing support

✓Resume preparation✓Mock interview preparation✓Phone interview preparation✓Face to face interview preparation✓Project and technology preparation✓Internship with internal project work✓Externship with client project work
2

Our salient features

✓Hands-on labs and homework✓Group discussion and case study✓Course project work✓Regular quiz and exam✓Regular support beyond the classroom✓Students can re-take the class at no cost✓Dedicated conference rooms for group project work✓Live streaming for remote students✓Video recording to catch up on a missed class
 

Ready to build LLM apps?

Call 847-350-9034 or book an appointment to talk about this course and funding options.Book an appointmentCall 847-350-9034Education grant program

 

 

 

 

 

bottom of page
ITExps Assistant
Hello! I am your ITExps assistant. How can I help you today?