Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents — 93% OFF Discount Coupon

Deploy Langchain v1 AI App at AWS, Local LLM Projects, Ollama, DeepSeek, LLAMA, Qwen3, Gemma3, GPT-OSS, Text to MySQL

★4.6 out of 5
6,526 students
Created by KGP Talkie | Laxmi Kant
English
Updated May 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents before you enroll:

•Course Name: Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents
•Platform: Udemy
•Instructor: KGP Talkie | Laxmi Kant
•Coupon Last Verified: May 12, 2026
•Level: Advanced
•Topic: Development
•Subtopic: Ollama
•Total Time: 19h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Install and integrate LangChain v1 and Ollama to run Qwen3, Gemma3, DeepSeek R1, GPT-OSS, LLAMA, and custom GGUF models locally. · Build complete chatbots with memory, history, streaming responses, and a Streamlit UI. · Use prompt templates, LCEL chains, chain routing, parallel chains, custom chains, and runnable pipelines to structure LLM workflows.
•Requirements: Basic Python programming knowledge · Familiarity with APIs and web requests
•Current Price: $9.99 (was $149.99). You save $140.00 with 93% discount.
•How to Apply: Click the coupon button to activate your discount automatically
💡
Tip:For best results, apply the coupon in a regular browser window rather than incognito/private mode.

Skills You'll Master

By the end of Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents, you'll have these practical skills:

✓Install and integrate LangChain v1 and Ollama to run Qwen3, Gemma3, DeepSeek R1, GPT-OSS, LLAMA, and custom GGUF models locally. .
✓Build complete chatbots with memory, history, streaming responses, and a Streamlit UI. .
✓Use prompt templates, LCEL chains, chain routing, parallel chains, custom chains, and runnable pipelines to structure LLM workflows. .
✓Parse structured output using Pydantic, JSON, CSV parsers, and .with_structured_output() methods. .
✓Implement advanced retrieval systems including similarity search, MMR search, threshold search, and optimized chunking. .
✓Use tool calling and function calling with DuckDuckGo, Tavily, Wikipedia, PubMed, and custom tools. .
✓Build production-ready AI agents using LangChain v1 agent API, dynamic model selection, middleware, state management, and real-time streaming. .
✓Create Agentic RAG systems including autonomous retrieval, context citation, custom FAISS tools, and streamed agentic responses. .
✓Build a complete Text-to-SQL Agent for MySQL with schema extraction, SQL generation, validation, execution, and automated error correction. .
✓Build LinkedIn scraper, resume parser, and data extraction workflows using Selenium, BeautifulSoup, LLM parsing, and Streamlit apps. .
✓Deploy LangChain v1 + Ollama applications to AWS EC2, configure remote servers, and run production-level AI apps.

What You Need Before Starting

Before enrolling in Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents, make sure you have:

•Basic Python programming knowledge
•Familiarity with APIs and web requests
•Basic understanding of machine learning concepts
•Access to a computer with internet for installations and setups
•Curiosity to learn LLMs, AI agents, and RAG systems — everything else will be taught step-by-step.

About This Udemy Course

The following is the full official course description for Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents as published on Udemy by instructor KGP Talkie | Laxmi Kant:

2026 Upgrade: Course completely re-recorded with LangChain v1 and LangGraph v1.
All projects, agents, tools, and RAG pipelines rebuilt from scratch.

Perfect for developers, AI engineers, and serious learners who want production-grade GenAI skills.

This course is a comprehensive, practical guide to integrating Langchain v1 (latest release) and Ollama to build, automate, and deploy production-ready AI applications.

Updated with the newest technologies and frameworks, you'll learn to set up these cutting-edge tools, create advanced prompt templates, build autonomous AI agents, implement RAG (Retrieval-Augmented Generation) systems, and deploy real-world applications on AWS.

Each section is designed to provide you with hands-on skills and real-world experience with the latest AI development practices.

What You Will Learn

1. Ollama & Langchain Setup
  • Complete installation and configuration of Ollama and Langchain
  • Work with the latest models: GPT-OSS, Gemma3, Qwen3, DeepSeek R1, and LLAMA 3.2
  • Master Ollama commands, custom model creation, and raw API integration
  • Configure local LLM environments for optimal performance
2. Advanced Prompt Engineering
  • Design effective AI, human, and system message prompts
  • Use ChatPromptTemplate and MessagesPlaceholder for dynamic conversations
  • Master the invoke method and structured prompt patterns
  • Implement best practices for prompt tuning and optimization
3. LCEL Chains for Workflow Automation
  • Build Sequential, Parallel, and Router Chains with Langchain Expression Language (LCEL)
  • Create custom chains using RunnableLambda and RunnablePassthrough
  • Implement chain decorators for simplified workflow automation
  • Design conditional logic and dynamic chain routing for complex applications
4. Structured Output Parsing
  • Parse LLM outputs using Pydantic, JSON, CSV, and custom parsers
  • Use with_structured_output method for type-safe responses
  • Handle date-time parsing and structured data extraction
  • Format data for downstream processing and integration
5. Chat Memory and Conversation Management
  • Implement chat history with BaseChatMessageHistory and InMemoryChatMessageHistory
  • Use MessagesPlaceholder for dynamic conversation flow
  • Build stateful conversational AI applications
  • Manage long-term chat sessions efficiently
6. Build Production-Ready Chatbots
  • Create interactive chatbot applications using Streamlit
  • Implement streaming responses like ChatGPT
  • Maintain persistent chat history and session state
  • Deploy user-friendly chat interfaces with real-time updates
7. Document Processing with Multiple Loaders
  • Process PDFs using PyMuPDF and create QA systems
  • Work with Microsoft Office files (PPTX, DOCX, Excel)
  • Use Microsoft's MarkItDown for universal document conversion
  • Implement IBM's Docling for advanced OCR and document processing
  • Extract tables, images, and figures from any document type
8. Vector Stores and RAG Implementation
  • Build Retrieval-Augmented Generation (RAG) systems with FAISS and Chroma
  • Create and manage vector embeddings using OllamaEmbeddings
  • Implement document chunking strategies with RecursiveTextSplitter
  • Optimize chunk sizes for better retrieval performance
  • Design RAG prompt templates for context-aware responses
9. Agentic RAG Systems
  • Build autonomous RAG agents that retrieve and reason
  • Create custom tool decorators for agent capabilities
  • Implement real-time streaming for agent responses
  • Integrate vector stores with intelligent agent workflows
10. Tool Calling and Function Execution
  • Set up built-in tools: Tavily Search, DuckDuckGo, PubMed, Wikipedia
  • Create custom tools and bind them to LLMs
  • Implement tool calling loops for multi-step reasoning
  • Pass tool results back to LLMs for informed responses
11. AI Agents with Langchain
  • Master the create_agent API for building intelligent agents
  • Build web search agents with DuckDuckGo integration
  • Implement agent state management and middleware
  • Create dynamic model selection for intelligent agent routing
  • Stream agent responses in real-time using values, updates, and messages
12. Text-to-SQL Agent (MySQL Integration)
  • Build natural language to SQL query systems
  • Create schema inspection, query generation, and validation tools
  • Implement automatic SQL error correction with LLMs
  • Execute complex database queries from natural language
13. Real-World AI Projects
  • Stock Market News Analysis: Scrape web data and generate comprehensive reports
  • LinkedIn Profile Scraper: Extract and parse profile data with LLMs
  • Resume Parser: Build AI-powered CV analysis and JSON extraction system
  • Health Supplements QA: Create domain-specific RAG question-answering systems
14. Production Deployment on AWS
  • Launch and configure AWS EC2 instances for LLM applications
  • Install Ollama and Langchain on cloud servers
  • Deploy Streamlit applications in production environments
  • Connect VS Code to remote servers for seamless development
By the end of this course, you'll have the expertise to build, deploy, and manage production-grade AI-powered applications using Langchain and Ollama. You'll be able to create intelligent chatbots, RAG systems, autonomous agents, and document processors that are ready for real-world deployment.

Start building the future of AI applications today.

Compare Similar Courses

This section allows you to compare the current course with similar options to help you make an informed decision by evaluating prices, ratings, and key features side by side.

Compare prices and features to find the best deal for your learning needs

Is the Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: May 12, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents is a high-value resource for learners seeking to build skills inDevelopment. Taught by KGP Talkie | Laxmi Kant on Udemy, the 19h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 93%, from $149.99 to $9.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 93% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.6 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 6,526 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents Course holds an aggregate rating of 4.6 out of 5 based on 6,526 student reviews on Udemy.

4.6
★★★★★
6,526 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on KGP Talkie | Laxmi Kant, the instructor responsible for creating and maintaining Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents on Udemy.

Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents is taught by KGP Talkie | Laxmi Kant, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: KGP Talkie | Laxmi Kant
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents, its coupon code, pricing, and enrollment process.

About the Author

AD

Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

Explore More Resources

Discover related content and navigation options for Development:

More Development Courses You Might Like

Similar Udemy courses in Development with verified coupons: