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Flowise: No-Code LLM Agent Builder
Build powerful AI agents and chatbots visually using Flowise – a no-code platform for deploying LLM workflows, RAG pipelines, and automation.
Course Duration: 10 Hours
Preview Flowise: No-Code LLM Agent Builder course
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Flowise – No-Code LLM Agent Builder – Online Course
Flowise: No-Code LLM Agent Builder is a comprehensive, self-paced online course designed for beginners, product designers, developers, and AI enthusiasts looking to build and deploy intelligent agents without writing code. Using Flowise, an open-source visual programming platform built on top of LangChain, this course teaches you to create fully functional AI applications—from chatbots to knowledge assistants to RAG-based agents—through a simple drag-and-drop interface.
Course Introduction
The rise of large language models (LLMs) has unlocked the ability to automate, augment, and personalize workflows across industries. However, implementing LLM apps often requires complex code, infrastructure knowledge, and advanced development skills.
The rise of large language models (LLMs) has unlocked the ability to automate, augment, and personalize workflows across industries. However, implementing LLM apps often requires complex code, infrastructure knowledge, and advanced development skills.
Flowise solves this problem by providing a drag-and-drop visual environment for designing, configuring, and deploying LLM workflows using modular components and integrations. Whether you want to build a chatbot, automate customer support, summarize documents, or create custom agents with memory, Flowise enables you to do so without writing a single line of code.
What is Flowise?
Flowise is a no-code, open-source visual builder for LLM-based applications, built atop LangChain. It allows you to connect blocks (nodes) like prompt templates, models, vector stores, tools, memory, and APIs—visually forming a flowchart that acts as your AI agent. Flowise supports integration with OpenAI, Cohere, Hugging Face, Pinecone, Supabase, Chroma, and more.
Flowise is a no-code, open-source visual builder for LLM-based applications, built atop LangChain. It allows you to connect blocks (nodes) like prompt templates, models, vector stores, tools, memory, and APIs—visually forming a flowchart that acts as your AI agent. Flowise supports integration with OpenAI, Cohere, Hugging Face, Pinecone, Supabase, Chroma, and more.
How to Use This Course
This course is ideal for beginners and non-programmers looking to prototype or build production-ready AI workflows. To maximize your learning:
This course is ideal for beginners and non-programmers looking to prototype or build production-ready AI workflows. To maximize your learning:
- Start with simple flows, like chatbot creation, and move to advanced workflows involving memory and retrieval.
- Use real-world projects to deploy AI agents for documentation, support, and content generation.
- Explore plugin integrations such as Zapier, Slack, Notion, and vector databases.
- Customize nodes and test outputs using built-in debugging tools.
- Leverage export and deployment features to bring your agent into live apps.
By the end of this course, you’ll be able to confidently design your own LLM-based solutions using Flowise’s intuitive interface.
Course/Topic 1 - Coming Soon
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The videos for this course are being recorded freshly and should be available in a few days. Please contact info@uplatz.com to know the exact date of the release of this course.
Course Objectives Back to Top
By the end of this course, you will be able to:
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Understand the core concepts of LLM-based workflows and LangChain architecture.
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Set up and configure Flowise locally or in the cloud.
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Build conversational agents using visual nodes and prompt templates.
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Implement memory and context persistence in chatbots.
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Connect Flowise to vector stores like Pinecone, Chroma, or Supabase.
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Create retrieval-augmented generation (RAG) flows for document Q&A.
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Integrate external tools and REST APIs into your workflows.
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Customize flows for customer support, legal drafting, research, and more.
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Deploy Flowise agents to web apps, CRMs, and SaaS tools.
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Debug, monitor, and export your agents for reuse and collaboration.
Course Syllabus Back to Top
Course Syllabus
Module 1: Introduction to Flowise
- What is Flowise?
- Why use no-code LLM builders?
- Understanding LangChain and node-based workflows
Module 2: Installing and Accessing Flowise
- Local setup with Node.js and Docker
- Accessing the Flowise UI
- Overview of the interface and basic settings
Module 3: Building Your First Flow
- Adding and connecting nodes
- LLM input, prompt templates, and chat history
- Executing a simple Q&A chatbot
Module 4: Prompt Engineering in Flowise
- Creating reusable prompt templates
- Best practices for clarity and context
- Testing and refining responses
Module 5: Adding Memory and Context
- Memory node configuration
- Persistent vs transient memory
- Using Redis and local memory options
Module 6: Integrating Tools and APIs
- HTTP request nodes for external APIs
- Custom function creation
- Connecting with Zapier, Slack, Notion
Module 7: RAG (Retrieval-Augmented Generation) Workflows
- Document loaders and embedding nodes
- Vector database setup (Chroma, Pinecone, Supabase)
- Creating a document Q&A bot
Module 8: Advanced Agents and Workflows
- Multi-step logic and decision trees
- Using conditional nodes
- Building task automation flows
Module 9: Export, Deploy, and Monitor
- Exporting flows to JSON
- Hosting with Vercel, Render, or locally
- Monitoring and debugging flows
Modules 10–12: Real-World Projects
- Project 1: AI-powered FAQ Chatbot
- Project 2: Contract Reviewer Agent
- Project 3: Research Assistant with API calls + RAG
Module 13: Flowise Interview Questions & Answers
Certification Back to Top
Upon completing the Flowise: No-Code LLM Agent Builder course, learners will receive a Certificate of Completion from Uplatz, validating their ability to design and deploy AI workflows without coding. This certification demonstrates practical skills in building intelligent assistants, integrating tools, managing context, and deploying no-code LLM solutions using Flowise. The credential is especially valuable for product managers, AI solution designers, operations professionals, and aspiring no-code developers seeking roles in the AI and automation landscape.
Career & Jobs Back to Top
Flowise represents the future of democratized AI development, where professionals can create intelligent solutions without needing deep coding expertise. As organizations adopt LLM-based systems across support, HR, content, and operations, those who can prototype and deploy with tools like Flowise are increasingly in demand.
This course prepares you for roles such as:
- No-Code AI Builder
- Prompt Engineer
- AI Workflow Designer
- Automation Consultant
- Conversational AI Architect
- Product Manager (AI Tools)
Job opportunities span startups, SaaS providers, agencies, enterprises, and freelance gigs. With Flowise, you can turn ideas into AI-driven prototypes within minutes—making you a valuable asset in building fast, cost-effective AI solutions.
Interview Questions Back to Top
1. What is Flowise and how does it relate to LangChain?
Flowise is a visual, no-code interface built on top of LangChain that allows users to create LLM workflows by connecting nodes such as prompts, tools, and memory modules.
Flowise is a visual, no-code interface built on top of LangChain that allows users to create LLM workflows by connecting nodes such as prompts, tools, and memory modules.
2. What types of applications can be built using Flowise?
You can build chatbots, RAG-based Q&A systems, research agents, legal document analyzers, customer support tools, and more—all without code.
You can build chatbots, RAG-based Q&A systems, research agents, legal document analyzers, customer support tools, and more—all without code.
3. How does Flowise handle memory and context?
Flowise supports memory via dedicated nodes and can store chat history using Redis or internal memory. This allows agents to remember prior inputs and provide contextual replies.
Flowise supports memory via dedicated nodes and can store chat history using Redis or internal memory. This allows agents to remember prior inputs and provide contextual replies.
4. What vector stores does Flowise support?
Flowise integrates with Pinecone, Chroma, Supabase, Weaviate, and others for storing document embeddings used in RAG workflows.
Flowise integrates with Pinecone, Chroma, Supabase, Weaviate, and others for storing document embeddings used in RAG workflows.
5. How are prompts constructed in Flowise?
Prompts are defined through Prompt Template nodes that can use placeholders, variables, and dynamic inputs to create structured interactions with the LLM.
Prompts are defined through Prompt Template nodes that can use placeholders, variables, and dynamic inputs to create structured interactions with the LLM.
6. Can Flowise connect with external APIs?
Yes, using HTTP request nodes or custom tool nodes, you can make API calls to third-party platforms and incorporate responses into workflows.
Yes, using HTTP request nodes or custom tool nodes, you can make API calls to third-party platforms and incorporate responses into workflows.
7. How do you deploy a Flowise agent?
Agents can be deployed on local servers, cloud platforms like Vercel, or embedded in apps using Flowise's REST API or iframe embedding.
Agents can be deployed on local servers, cloud platforms like Vercel, or embedded in apps using Flowise's REST API or iframe embedding.
8. What makes Flowise different from other no-code AI tools?
Flowise gives full transparency, extensibility, and open-source control. It integrates deeply with LangChain, supports custom tooling, and is developer-friendly while remaining accessible to non-coders.
Flowise gives full transparency, extensibility, and open-source control. It integrates deeply with LangChain, supports custom tooling, and is developer-friendly while remaining accessible to non-coders.
9. What is a RAG pipeline and how is it built in Flowise?
A RAG pipeline combines retrieval from vector stores with LLM generation. In Flowise, this involves using a document loader, embedding node, vector DB, and LLM response generator.
A RAG pipeline combines retrieval from vector stores with LLM generation. In Flowise, this involves using a document loader, embedding node, vector DB, and LLM response generator.
10. How can you monitor and debug a Flowise workflow?
Flowise provides a visual trace of node execution, allowing you to inspect inputs, outputs, and logs at each step for debugging and optimization.
Flowise provides a visual trace of node execution, allowing you to inspect inputs, outputs, and logs at each step for debugging and optimization.
Course Quiz Back to Top
FAQs
Back to Top
Q1. What are the payment options?
A1. We have multiple payment options:
1) Book your course on our webiste by clicking on Buy this course button on top right of this course page
2) Pay via Invoice using any credit or debit card
3) Pay to our UK or India bank account
4) If your HR or employer is making the payment, then we can send them an invoice to pay.
Q2. Will I get certificate?
A2. Yes, you will receive course completion certificate from Uplatz confirming that you have completed this course with Uplatz. Once you complete your learning please submit this for to request for your certificate https://training.uplatz.com/certificate-request.php
Q3. How long is the course access?
A3. All our video courses comes with lifetime access. Once you purchase a video course with Uplatz you have lifetime access to the course i.e. forever. You can access your course any time via our website and/or mobile app and learn at your own convenience.
Q4. Are the videos downloadable?
A4. Video courses cannot be downloaded, but you have lifetime access to any video course you purchase on our website. You will be able to play the videos on our our website and mobile app.
Q5. Do you take exam? Do I need to pass exam? How to book exam?
A5. We do not take exam as part of the our training programs whether it is video course or live online class. These courses are professional courses and are offered to upskill and move on in the career ladder. However if there is an associated exam to the subject you are learning with us then you need to contact the relevant examination authority for booking your exam.
Q6. Can I get study material with the course?
A6. The study material might or might not be available for this course. Please note that though we strive to provide you the best materials but we cannot guarantee the exact study material that is mentioned anywhere within the lecture videos. Please submit study material request using the form https://training.uplatz.com/study-material-request.php
Q7. What is your refund policy?
A7. Please refer to our Refund policy mentioned on our website, here is the link to Uplatz refund policy https://training.uplatz.com/refund-and-cancellation-policy.php
Q8. Do you provide any discounts?
A8. We run promotions and discounts from time to time, we suggest you to register on our website so you can receive our emails related to promotions and offers.
Q9. What are overview courses?
A9. Overview courses are 1-2 hours short to help you decide if you want to go for the full course on that particular subject. Uplatz overview courses are either free or minimally charged such as GBP 1 / USD 2 / EUR 2 / INR 100
Q10. What are individual courses?
A10. Individual courses are simply our video courses available on Uplatz website and app across more than 300 technologies. Each course varies in duration from 5 hours uptop 150 hours.
Check all our courses here https://training.uplatz.com/online-it-courses.php?search=individual
Q11. What are bundle courses?
A11. Bundle courses offered by Uplatz are combo of 2 or more video courses. We have Bundle up the similar technologies together in Bundles so offer you better value in pricing and give you an enhaced learning experience.
Check all Bundle courses here https://training.uplatz.com/online-it-courses.php?search=bundle
Q12. What are Career Path programs?
A12. Career Path programs are our comprehensive learning package of video course. These are combined in a way by keeping in mind the career you would like to aim after doing career path program. Career path programs ranges from 100 hours to 600 hours and covers wide variety of courses for you to become an expert on those technologies.
Check all Career Path Programs here https://training.uplatz.com/online-it-courses.php?career_path_courses=done
Q13. What are Learning Path programs?
A13. Learning Path programs are dedicated courses designed by SAP professionals to start and enhance their career in an SAP domain. It covers from basic to advance level of all courses across each business function. These programs are available across SAP finance, SAP Logistics, SAP HR, SAP succcessfactors, SAP Technical, SAP Sales, SAP S/4HANA and many more
Check all Learning path here https://training.uplatz.com/online-it-courses.php?learning_path_courses=done
Q14. What are Premium Career tracks?
A14. Premium Career tracks are programs consisting of video courses that lead to skills required by C-suite executives such as CEO, CTO, CFO, and so on. These programs will help you gain knowledge and acumen to become a senior management executive.
Q15. How unlimited subscription works?
A15. Uplatz offers 2 types of unlimited subscription, Monthly and Yearly.
Our monthly subscription give you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews each month. Minimum committment is for 1 year, you can cancel anytime after 1 year of enrolment.
Our yearly subscription gives you unlimited access to our more than 300 video courses with 6000 hours of learning content. The plan renews every year. Minimum committment is for 1 year, you can cancel the plan anytime after 1 year.
Check our monthly and yearly subscription here https://training.uplatz.com/online-it-courses.php?search=subscription
Q16. Do you provide software access with video course?
A16. Software access can be purchased seperately at an additional cost. The cost varies from course to course but is generally in between GBP 20 to GBP 40 per month.
Q17. Does your course guarantee a job?
A17. Our course is designed to provide you with a solid foundation in the subject and equip you with valuable skills. While the course is a significant step toward your career goals, its important to note that the job market can vary, and some positions might require additional certifications or experience.
Remember that the job landscape is constantly evolving. We encourage you to continue learning and stay updated on industry trends even after completing the course. Many successful professionals combine formal education with ongoing self-improvement to excel in their careers. We are here to support you in your journey!
Q18. Do you provide placement services?
A18. While our course is designed to provide you with a comprehensive understanding of the subject, we currently do not offer placement services as part of the course package. Our main focus is on delivering high-quality education and equipping you with essential skills in this field.
However, we understand that finding job opportunities is a crucial aspect of your career journey. We recommend exploring various avenues to enhance your job search:
a) Career Counseling: Seek guidance from career counselors who can provide personalized advice and help you tailor your job search strategy.
b) Networking: Attend industry events, workshops, and conferences to build connections with professionals in your field. Networking can often lead to job referrals and valuable insights.
c) Online Professional Network: Leverage platforms like LinkedIn, a reputable online professional network, to explore job opportunities that resonate with your skills and interests.
d) Online Job Platforms: Investigate prominent online job platforms in your region and submit applications for suitable positions considering both your prior experience and the newly acquired knowledge. e.g in UK the major job platforms are Reed, Indeed, CV library, Total Jobs, Linkedin.
While we may not offer placement services, we are here to support you in other ways. If you have any questions about the industry, job search strategies, or interview preparation, please dont hesitate to reach out. Remember that taking an active role in your job search process can lead to valuable experiences and opportunities.
Q19. How do I enrol in Uplatz video courses?
A19. To enroll, click on "Buy This Course," You will see this option at the top of the page.
a) Choose your payment method.
b) Stripe for any Credit or debit card from anywhere in the world.
c) PayPal for payments via PayPal account.
d) Choose PayUmoney if you are based in India.
e) Start learning: After payment, your course will be added to your profile in the student dashboard under "Video Courses".
Q20. How do I access my course after payment?
A20. Once you have made the payment on our website, you can access your course by clicking on the "My Courses" option in the main menu or by navigating to your profile, then the student dashboard, and finally selecting "Video Courses".
Q21. Can I get help from a tutor if I have doubts while learning from a video course?
A21. Tutor support is not available for our video course. If you believe you require assistance from a tutor, we recommend considering our live class option. Please contact our team for the most up-to-date availability. The pricing for live classes typically begins at USD 999 and may vary.