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Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents
Deploy Langchain v1 AI App at AWS, Local LLM Projects, Ollama, DeepSeek, LLAMA, Qwen3, Gemma3, GPT-OSS, Text to MySQL
4.6 ★★★★★5,225 studentsCreated by KGP Talkie | Laxmi KantPublished/Updated on: 🌐 English
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Key Takeaways
Course EssentialsCourse overview with structured fields: Title, Provider, Instructor, Updated Date, Difficulty, Focus, Audience, Outcomes.
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Course Title
Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents
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Provider
Udemy (via CourseSpeak listing)
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Instructor
KGP Talkie | Laxmi Kant
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Last Updated
November 20, 2025
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Difficulty Level
Advanced
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Course Focus
development fundamentals to advanced concepts
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Learning Outcomes
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.
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Prerequisites
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.
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Target Audience
Beginners to advanced programmers
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What you'll learn
The following outcomes clarify specific competencies mastered by learners through practical projects:
✓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.
Requirements
This section lists the necessary background knowledge, tools, or prerequisites needed before starting the course to ensure you have the best learning experience.
•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.
Course Description
A detailed explanation of modules, tools, and project use cases included in the curriculum. from this comprehensive development courses.
Review - Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents course on Udemy worth it?
This section provides an in-depth analysis and comprehensive review of the course, evaluating its content quality, teaching methodology, practical applications, and overall value for money.
Complete Review: Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents by KGP Talkie | Laxmi Kant
Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents is a comprehensive online course designed to help students master Development skills. Created by KGP Talkie | Laxmi Kant, this course provides practical knowledge and hands-on experience that learners can immediately apply in professional settings.
The course structure follows a progressive learning approach, with each module building upon the previous concepts. Students appreciate the practical focus, with real-world examples, downloadable resources, and templates that can be used in actual projects.
Available on Udemy with lifetime access, this course offers excellent value for anyone looking to advance their skills in Ollama and take their career to the next level.
Our Recommendation
Course recommendation: Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents excels in development development based on verified student reviews and curriculum analysis.
Student Feedback
This section showcases real student experiences, ratings, and detailed feedback to help you gauge the course quality and learning outcomes from actual participants.
4.6
★★★★★
Course Rating
Based on 5,225 student reviews as of November 2025
Rating Breakdown:
5 stars:
75% (3,919)
4 stars:
15% (784)
3 stars:
5% (261)
2 stars:
5% (261)
1 star:
5% (261)
SJ
Sarah Johnson
★★★★★2 weeks ago
This course completely transformed my understanding of the subject! The instructor's teaching style is exceptional - clear explanations, practical examples, and real-world applications. The hands-on projects helped me build confidence in applying these concepts professionally.
MT
Michael Torres
★★★★★3 weeks ago
Outstanding course with comprehensive content and excellent production quality. The step-by-step approach made complex topics accessible. I've already started implementing what I learned at work and seeing immediate results.
DK
David Kim
★★★★★1 month ago
Best investment I've made in my career development! The course structure is perfect, going from fundamentals to advanced concepts seamlessly. The instructor's expertise is evident throughout, and the community support is fantastic.
Frequently Asked Questions
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