AI workflows with a visual interfaceLangFlow Training: AI Workflows

Learn to design, build and deploy AI workflows with LangFlow's visual no-code and low-code interface, from chatbots and RAG systems to agents and deployment.

Book an appointment Call 847-350-9034

No-code / low-codeRAGAgentsReal projects

Ten modules

From the LangFlow interface to real-world projects. 1

Introduction

LangFlow, LangChain vs LangFlow, use cases.2

Building blocks

Components, nodes, connections, debugging.3

Prompt engineering

Prompt types, variables, optimization.4

Tools and APIs

Built-in and custom tools, external APIs.5

Document processing

Loaders, embeddings, vector stores, RAG.6

Memory and context

Memory types and when to use which.7

Advanced chains

Sequential, branching and parallel chains.8

Agents

Agent types, ReAct, multi-agent systems.9

Integration

Deploy, export as API or Python code.10

Real-world projects

Apply the skills in a project.

Detailed course content

Topics covered in each module.

Modules 1-3

✓What LangFlow is and why visual flow-based development✓Use cases: chatbots, RAG, automation agents, data extraction and summarization, API-based AI workflows✓Components: prompts, models (OpenAI, Groq, Gemini, local LLMs), tools, chains, memory✓Nodes, connections, parameters, debugging nodes and flow logs✓System, user and template prompts; variables; dynamic prompts; prompt optimization

Modules 4-6

✓Built-in tools: search, calculator, document loaders, web request, code execution✓Custom tools and external APIs (weather, finance, CRM)✓Document loaders (PDF, Docs, text, URL), embeddings, retrievers✓Vector stores: Chroma, FAISS, Pinecone, Weaviate✓Memory types: ConversationBufferMemory, ConversationSummaryMemory, VectorStoreRetrieverMemory

Modules 7-8

✓Sequential, conditional/branching and parallel chains✓Custom logic nodes, error handling, large data pipelines✓Agent types: ReAct, tool-using agents, multi-agent systems✓Adding multiple tools to an agent and agent debugging

Modules 9-10

✓Deploying LangFlow and exporting flows as API or Python code✓Connecting with chat widgets, web apps, Zapier and Make.com✓Using LangFlow on cloud (Railway, HuggingFace and others)✓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 AI workflows?

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

Ten modules

From the LangFlow interface to real-world projects.1

Introduction

LangFlow, LangChain vs LangFlow, use cases.2

Building blocks

Components, nodes, connections, debugging.3

Prompt engineering

Prompt types, variables, optimization.4

Tools and APIs

Built-in and custom tools, external APIs.5

Document processing

Loaders, embeddings, vector stores, RAG.6

Memory and context

Memory types and when to use which.7

Advanced chains

Sequential, branching and parallel chains.8

Agents

Agent types, ReAct, multi-agent systems.9

Integration

Deploy, export as API or Python code.10

Real-world projects

Apply the skills in a project.

Detailed course content

Topics covered in each module.1

Modules 1-3

✓What LangFlow is and why visual flow-based development✓Use cases: chatbots, RAG, automation agents, data extraction and summarization, API-based AI workflows✓Components: prompts, models (OpenAI, Groq, Gemini, local LLMs), tools, chains, memory✓Nodes, connections, parameters, debugging nodes and flow logs✓System, user and template prompts; variables; dynamic prompts; prompt optimization2

Modules 4-6

✓Built-in tools: search, calculator, document loaders, web request, code execution✓Custom tools and external APIs (weather, finance, CRM)✓Document loaders (PDF, Docs, text, URL), embeddings, retrievers✓Vector stores: Chroma, FAISS, Pinecone, Weaviate✓Memory types: ConversationBufferMemory, ConversationSummaryMemory, VectorStoreRetrieverMemory3

Modules 7-8

✓Sequential, conditional/branching and parallel chains✓Custom logic nodes, error handling, large data pipelines✓Agent types: ReAct, tool-using agents, multi-agent systems✓Adding multiple tools to an agent and agent debugging4

Modules 9-10

✓Deploying LangFlow and exporting flows as API or Python code✓Connecting with chat widgets, web apps, Zapier and Make.com✓Using LangFlow on cloud (Railway, HuggingFace and others)✓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 work2

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 AI workflows?

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