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.
Instructor: Yash ThakkerNo upcoming run scheduled yet — check back soon.
Sep 7, 2026
Next cohort
1 live session
4 hrs each
Recordings included
1-year access
Certificate included
Verified on completion
Beginner level
Recommended experience
View full agenda
4 sessions · 4 hours total · All sessions recorded
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.
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.
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.
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.
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.
Complete both sessions and receive a verified certificate from explainx.ai — add it to your LinkedIn, portfolio, or resume.
Sample only · Each issued certificate has a public verification UUID
View sample certificate ↗Every session has hands-on work. Leave with real deliverables you can use the next morning.
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.
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.
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.
Real messages from students who trained with Yash across his live AI workshops and bootcamps.
faq
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.
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.
