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Krish Naik

Krish Naik

I am the Founder of KrishAI Technologies Private Limited and my experience is pioneering in machine learning, deep learning, and computer vision,an educator, and a mentor, with over 10 years' experience in the industry. This is my YouTube channel where I explain various topics on machine learning, d...

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2 courses
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What this channel is known for

AI summary

Krish Naik's channel provides structured, project-oriented instruction in machine learning, deep learning, and AI, with a strong emphasis on real-world applications and production-ready tools like LangChain, LangGraph, and RAG.

Strengths

  • Clear and articulate explanations
  • Practical, real-world problem scenarios
  • Covers advanced topics like agentic AI, RAG, and LangGraph
  • Structured learning paths with prerequisites guidance

Best for

  • Learners with prior Python and ML/DL knowledge
  • Aspiring AI/ML engineers seeking production-level skills
  • Students wanting to move from theory to real-world deployment
  • Professionals looking for up-to-date, industry-relevant content

AI-generated from 104 viewer comments across this channel's videos on YouTube — it summarizes outside comments, not CourseShelf reviews.

Courses by Krish Naik

2 courses
Complete RAG Crash Course With Langchain In 2 Hours
Krish Naik
2h 9m

Complete RAG Crash Course With Langchain In 2 Hours

Intermediate

github: https://github.com/krishnaik06/RAG-Tutorials Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. Large Language Models (LLMs) are trained on vast volumes of data and use billions of parameters to generate original output for tasks like answering questions, translating languages, and completing sentences. RAG extends the already powerful capabilities of LLMs to specific domains or an organization's internal knowledge base, all without the need to retrain the model. It is a cost-effective approach to improving LLM output so it remains relevant, accurate, and useful in various contexts.

Krish Naik
Complete Agentic AI Course In 10 Hours- Langchain, Langgraph, RAG,Vectorless RAG, Guardrails,Evals
Krish Naik
5
11h 14m

Complete Agentic AI Course In 10 Hours- Langchain, Langgraph, RAG,Vectorless RAG, Guardrails,Evals

Intermediate

This is a complete course on learning Generative ai and agentic with Langchain and Langgraph. We have included all the topics from RAG, vectorless rag, Deep agents, Guardrails, LLM Evaluation and LLM Gateways Techniques Github Links Langchain : https://github.com/krishnaik06/Langchain-V1-Crash-Course Langgraph: https://github.com/krishnaik06/Agentic-LanggraphCrash-course RAG: https://github.com/krishnaik06/RAG-Tutorials Vectorless RAG: https://github.com/krishnaik06/RAG-Tutorials/blob/main/PageIndex_Vectorless_RAG_CrashCourse%20(1).ipynb Deep Agents: https://drive.google.com/file/d/1SVjvgqvKfF-FPAIqpEZdKMQLhe13NLFD/view Guardrails : https://github.com/krishnaik06/Langchain-V1-Crash-Course/blob/main/updatedlangchain/langchain_guardrails_crash_course.ipynb LLM Evals : https://github.com/krishnaik06/RAG-Tutorials/blob/main/1-rag_evaluation.ipynb LLM Gateways: https://github.com/krishnaik06/Langchain-V1-Crash-Course/blob/main/llm_gateway_tutorial.ipynb Timestamp 00:00:00 Introduction 00:02:31 Langchain Course 02:35:12 Langraph Course 05:02:29 RAG Course 07:10:43 Vectorless RAG 08:02:11 Deep Agents 08:45:43 Guardrails 09:22:55 LLM Evaluation 10:30:25 LLM Gateways ------------------------------------------------------------------- Learn from us visit https://krishnaik.in/liveclasses

Krish Naik