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Langflow: Build AI Workflows & Agents Without Code

Reserve your seat$79.00$99.00
OverviewAgendaReviewsEnrollFAQ
WorkshopsLangflow: Build AI Workflows & Agents Without Code
Early bird — ends Aug 31

Langflow: Build AI Workflows & Agents Without Code

No code required. In one session you'll visually build a document Q&A chatbot, an AI agent that connects to live tools, and a multi-step workflow — drag, drop, run, done.

Yash ThakkerInstructor: Yash Thakker
★ 4.51
Reserve your seat$79.00$99.00

Secure payment via Stripe

Sep 7, 2026

Next cohort

1 live session

4 hrs each

Recordings included

1-year access

Beginner level

Recommended experience

See the session plan

View full agenda

Three working AI pipelines built during the session, ready to deploy

  • 1 live session · 4 hours · Sep 7, 2026
  • Build RAG pipelines and multi-agent workflows visually
  • Connect real APIs, vector databases, and LLMs
  • Go from prototype to production in a single session
  • 1-year access to session recording

One intensive session

4 sessions · 4 hours total · All sessions recorded

Langflow — From Visual Prototype to Production Pipeline

A single intensive day covering Langflow end-to-end: how the graph-based runtime works, building RAG pipelines from scratch, connecting external tools and APIs, designing multi-agent flows, and preparing a workflow for production. Every session ends with a working flow you built yourself.

  1. Session 1: Langflow Fundamentals — The Visual Runtime

    Understand how Langflow works: nodes, edges, components, and the underlying LangChain execution graph. Set up your Langflow environment, tour the component library, and build your first end-to-end flow — a basic LLM chat with memory. Learn how Langflow maps to LangChain concepts so you can debug and extend anything you build.

  2. Session 2: Building RAG Pipelines That Actually Retrieve

    Build a retrieval-augmented generation pipeline from the ground up — document loading, chunking strategy, embedding model selection, vector store ingestion, and retrieval chain assembly. Learn why naive RAG fails and how to tune chunk size, overlap, and retrieval parameters to get the right context into every response. Finish with a working Q&A pipeline over your own documents.

  3. Session 3: Connecting APIs, Tools, and External Data

    Extend your flows beyond static documents. Connect live APIs as tool nodes, wire in web search, build conditional routing so agents decide which tool to call, and handle errors gracefully when external calls fail. Add memory so your agent tracks conversation state across turns. Leave with a flow that reads from the real world and responds intelligently.

  4. Session 4: Multi-Agent Workflows and Production Patterns

    Design supervisor-worker multi-agent architectures in Langflow — one orchestrator delegates to specialised agents, aggregates results, and returns a final output. Learn Langflow's deployment options: API export, Docker, and cloud hosting. Add logging, trace your flow's execution, and review the patterns that separate a reliable production workflow from a fragile demo.

Langflow graph runtimeRAG pipeline designChunking and embedding strategyVector store integrationTool node wiringConditional routingConversation memoryMulti-agent orchestrationLangflow deploymentFlow observability

What you'll build

Every session has hands-on work. Leave with real deliverables you can use the next morning.

1

RAG Document Pipeline

A complete retrieval-augmented generation flow over your own documents — ingestion, chunking, vector storage, and a retrieval chain with tuned parameters that returns accurate, grounded answers.

2

Tool-Calling Agent

A Langflow agent wired to real external APIs — with conditional tool selection, error handling, and conversation memory — ready to answer questions the LLM alone cannot.

3

Multi-Agent Supervisor Flow

A production-grade supervisor-worker architecture: one orchestrator routes tasks to specialised sub-agents, aggregates their outputs, and returns a unified response — exported as a deployable REST API.

What students say

Real messages from students who trained with Yash across his live AI workshops and bootcamps.

“I'd tried building a RAG app in pure LangChain and spent a week on plumbing. In Langflow I had the same pipeline working in under an hour. The chunking and retrieval session alone was worth attending.”

DN

Divya Nair

ML Engineer, Pune

“As a PM I couldn't write the LangChain boilerplate myself, but I could design and test the full agent flow in Langflow. I showed the working prototype to engineering and we shipped it in two weeks.”

TB

Tom Bergström

Product Manager, Stockholm

“The multi-agent session was the highlight — Yash builds a supervisor-worker system live on screen. Watching it come together step by step made the architecture click in a way blog posts never did.”

KW

Kenji Watanabe

AI Developer, Tokyo

“We were prototyping an internal knowledge-base chatbot. After this workshop I had a working RAG flow connected to our Notion docs by end of day. Deployed to our Slack bot the next morning.”

PI

Priya Iyer

Full-Stack Developer, Bangalore

Join Langflow: Build AI Workflows & Agents Without Code

September 2026 Run · 1 days · 4 hrs/day · Sep 7, 2026

$79.00$99.00

20% early bird — ends Aug 31 · Only 50 seats remaining

Reserve your seat

Included with annual membership — every workshop, $300/yr

faq

Frequently asked questions

Everything you need to know before enrolling.

No. Langflow is a visual canvas — you build by connecting blocks, not writing code. If you can use a tool like Notion or Figma, you can build in Langflow. No programming background required.

A Langflow account (free tier works for all exercises), an OpenAI or Anthropic API key, and a browser. No downloads or local setup — everything runs in the Langflow cloud.

Founders, marketers, operations managers, PMs, and anyone who wants to build AI-powered tools without depending on engineering. If you have a workflow problem you want to automate with AI, this workshop is for you.

Yes. Session 4 covers how to share your Langflow workflow, embed it in other tools, or export it so a developer can deploy it. You'll leave with something you can actually use or hand off.

The full session is recorded and available within 24 hours. Recordings are accessible for 1 year. All flow templates and component libraries are included regardless of live attendance.

Payments are non-refundable. If you can't attend live, all recordings are available within 24 hours and accessible for 1 year. For questions, email [email protected].

Yes. For teams of 5 or more, email [email protected] for group pricing. Private corporate runs are also available.

Join 350K+ learners

Ready to upgrade how you work with AI?

Live, hands-on, and capped so sessions stay interactive.

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50 seats remaining

Early bird

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  • Private Discord channel for Q&A and community
  • Certificate of completion
  • Meet your instructor

    Yash Thakker

    Yash Thakker

    Founder of AISOLO Technologies; AI entrepreneur & educator

    350K+

    Students

    12+

    Yrs exp

    3

    Startups

    Yash Thakker is the founder of AISOLO Technologies and one of the most sought-after AI educators in the country. He's known for one thing above all: by the end of any session, students have already built something — no saving it for 'later.' His classes are built around real-life, happening-right-now examples, zero dry theory, and a teaching energy that makes complex things feel obvious. With over a decade shipping AI products across media, fintech, and edtech, Yash has delivered every learning format imaginable — in-person workshops, live bootcamps, online courses, and hybrid sessions — always exploring new ways to make learning land faster. He's obsessed with what learning looks like for this generation, now that AI changes what's even worth teaching. He has reached 350,000+ learners and is the creator behind Olly.social, BGBlur.com, Infloq.com, and explainx.ai.

    explainx.aiolly.socialbgblur.comUdemy