Krish Naik — Channel Summaries
AI-powered summaries of 91 videos about Krish Naik.
91 summaries
Generative AI Vs Agentic AI Vs AI Agents
Generative AI, AI agents, and agentic AI differ mainly in how far the system goes beyond producing text—and how it handles tasks that require outside...
What is Agentic AI? Important For GEN AI In 2025
Agentic AI is positioned as the next step beyond generative AI: instead of producing text as the end goal, autonomous AI agents pursue a defined...
All You Need To Know About Model Context Protocol(MCP)
Model Context Protocol (MCP) is an open-source standard that standardizes how applications provide external context to large language...
Right Way To Learn AI In 2025
AI learning in 2025 should follow a build-first roadmap that starts with fundamentals, then moves through machine learning and deep learning into...
Complete RAG Crash Course With Langchain In 2 Hours
Retrieval-Augmented Generation (RAG) is presented as a practical way to make large language models answer with up-to-date, domain-specific...
Complete Detailed Roadmap To Learn AI In 2025 With Free Videos And Resources
AI learning in 2025 is framed around a practical, project-first roadmap built for different starting points: a traditional path that establishes core...
Things Required To Master Generative AI- A Must Skill In 2024
Mastering generative AI in 2024 hinges on building a strong technical base first—especially Python, statistics, and the core machine-learning...
Introduction To Undertsanding RAG(Retrieval-Augmented Generation)
Retrieval-Augmented Generation (RAG) is positioned as a practical way to make large language models more reliable and more useful for an...
Apache Airflow One Shot- Building End To End ETL Pipeline Using AirFlow And Astro
Apache Airflow plus Astro is presented as a practical way to automate an end-to-end ETL pipeline that pulls live weather data from an API, transforms...
What Is Agentic RAG?
Agentic RAG upgrades traditional retrieval-augmented generation by adding an intelligent routing layer that decides which knowledge base to consult...
#1-Getting Started Building Generative AI Using HuggingFace Open Source Models And Langchain
A new Hugging Face–LangChain integration is making it far easier to call large language models hosted on Hugging Face without downloading them...
Building Your First Agentic AI- Financial Agent With Phidata
Agentic AI for finance becomes practical when multiple specialized agents—one for web research and one for market data—are orchestrated into a single...
crewAI Crash Course For Beginners-How To Create Multi AI Agent For Complex Usecases
CrewAI’s practical edge for multi-agent workflows is letting separate agents coordinate—research first, then writing—while relying on tools (like a...
All You Need To Know About DeepSeek- ChatGPT Killer
DeepSeek is drawing intense attention because it delivers strong reasoning performance at dramatically lower training and inference costs than many...
2-Build RAG Pipeline From Scratch-Data Ingestion to Vector DB Pipeline-Part 1
A practical RAG pipeline is built end-to-end: raw files get parsed into a structured “document” format, split into chunks that fit model context...
MCP Agentic AI Crash Course With Python
Model Context Protocol (MCP) is presented as a way to plug external tools and data sources into an LLM without rewriting fragile “wrapper” code every...
2-Building Multi Agentic AI RAG With Vector Database
Agentic AI can be made to answer questions by pulling knowledge from a vector database that’s populated from PDFs—turning raw documents into a...
Day 1- Python Environment Setup, Industry Project Configuration And Package Management
Python “industry readiness” starts long before writing code: it hinges on getting the environment right, keeping dependencies isolated, and packaging...
Generative AI Fine Tuning LLM Models Crash Course
Fine-tuning large language models becomes practical on limited hardware when three ideas work together: quantization to shrink model weights,...
Complete Transformers For NLP Deep Learning One Shot With Handwritten Notes
Transformers replaced RNN-based sequence models by solving two long-standing bottlenecks: training scalability and context-aware word...
#2- Complete End To End Generative AI Project On AWS Using AWS Bedrock And AWS Lambda
The core build is an end-to-end “blog generator” API on AWS: Postman sends a blog topic to an API Gateway endpoint, an AWS Lambda function uses...
Transformer Explainer- Learn About Transformer With Visualization
Transformers hinge on a clear pipeline—token embeddings plus positional encoding feed a multi-head self-attention block built from query, key, and...
In 2025 What Should You Learn In AI ?
A June 2025 “AI engineering report” based on surveys of hundreds of engineers working in AI points to a clear 2025 learning priority: build practical...
Getting Started With Claude Code With VS Code
Claude Code is positioned as a “coding collaborator” that turns a developer’s intent into executable work inside a terminal—planning tasks, editing...
AI vs ML vs DL vs Generative Ai
Generative AI sits at the top of a ladder that starts with AI and narrows through machine learning and deep learning—then expands again into models...
Most Popular Framework-Langchain vs LangGraph
LangChain and LangGraph both help build LLM-powered applications, but they’re optimized for different kinds of workflows: LangChain is built around a...
Build MCP Servers With Tools From Scratch With Langchain
MCP servers can be built from scratch as tool backends—then wired into a single LangGraph/LangChain-powered agent that decides when to call those...
1- Lets Learn About Langchain-What We Will Learn And Demo Projects
LangChain’s ecosystem is being positioned as a practical end-to-end path for building generative AI apps—starting from core concepts and moving...
Best Frameworks To Learn For Building AI Agents And Agentic AI
AI agents are moving from buzzword to product feature, and the fastest path to building agentic AI systems is learning a small set of open-source...
3-Langchain Series-Production Grade Deployment LLM As API With Langchain And FastAPI
Production-grade LLM deployment starts with turning model calls into stable HTTP APIs. This walkthrough builds a LangChain + LangServe backend that...
Build AI Assistant With MCP Servers And Tools Using LangChain And Groq
Model Context Protocol (MCP) is positioned as a way to connect large language models to third-party capabilities—like browser automation and hotel...
Perfect Roadmap To Become AI Engineers In 2024 With Free Videos And Materials
Becoming an AI engineer in 2024 is framed as a structured, six-month learning path built around practical project output—Python first, then...
1-LangGraph Tutorial-Getting Started With Pydantic-Data Validations
Pydantic is positioned as the backbone for reliable structured outputs in LangGraph workflows—especially when data originates from APIs or LLMs and...
How is the Job Market 2024?
The job market in 2024 is shaping up as an AI-first, innovation-heavy environment where both new entrants and experienced professionals need to...
Hybrid Search RAG With Langchain And Pinecone Vector DB
Hybrid search for RAG is built on a simple but powerful idea: retrieve relevant chunks using both semantic similarity (dense vector search) and...
6-Building Advanced RAG Q&A Project With Multiple Data Sources With Langchain
A multi-source RAG Q&A setup becomes practical by combining LangChain “tools” with an agent that can route questions to the right retrieval backend....
What is Vibe Coding- Another Video To Get More Views
AI-assisted “vibe coding” is best understood as prompt-driven programming: a developer describes a task in a few sentences to a coding-tuned large...
Prompt Engineering Vs RAG Vs Finetuning Explained Easily
The clearest way to choose between prompt engineering, RAG, and fine-tuning is to match the technique to where the needed knowledge should come from:...
5-Langchain Series-Advanced RAG Q&A Chatbot With Chain And Retrievers Using Langchain
A practical blueprint for building an “advanced RAG” Q&A chatbot in LangChain hinges on one shift: stop treating vector search as the final step, and...
All You Need To Know About Google Agent2Agent Protocol- A2A Vs MCP
Google’s Agent2Agent (A2A) protocol is designed to let AI agents securely discover each other, exchange information, and coordinate actions across...
What Is LLM Poisoning? Interesting Break Through
A small batch of malicious training documents can “poison” large language models—enough to trigger gibberish outputs on demand—regardless of model...
Tutorial 3- Live Build Agentic AI Chatbot Using LangGraph
A LangGraph “react” workflow can turn a chat model into a tool-using agent that decides—turn by turn—whether to answer directly or call external...
3 Best Paths To Learn AI In 2026
Learning AI in 2026, according to this roadmap, comes down to picking the right sequence based on experience level and urgency—then proving skills...
AI Engineers- What Do They Do?
AI engineers sit at the point where machine-learning models stop being “research artifacts” and start behaving like working product...
End To End RAG Agent With DeepSeek-R1 And Ollama
An end-to-end Retrieval-Augmented Generation (RAG) app is built to answer questions from locally uploaded PDFs using DeepSeek R1 running through...
Day 1- End To End Agentic AI Project With LLMOPS
The core takeaway is a practical, end-to-end blueprint for building an agentic AI application—specifically an AI-based trip planner—using LangGraph...
7-End To End Advanced RAG Project using Open Source LLM Models And Groq Inferencing engine
The core takeaway is an end-to-end RAG (retrieval-augmented generation) app built with open-source LLMs, where web content is scraped, chunked,...
End To End Multimodal LLMOPS Project Azure Deployment With Observability And Orchestration Engine
A production-grade multimodal compliance system is built to judge whether a YouTube brand advertisement follows disclosure and advertising...
Building News AI Agents Using CrewAI And Google Gemini Pro LLM Models
The core takeaway is that a multi-agent workflow can generate a structured “news-style” report by chaining specialized agents—one that researches and...
Day 4- Python From Start- Building End To End Gen AI And Agentic AI Projects Skeleton
Agentic AI is framed as a shift from single, chatbot-style responses to autonomous, multi-agent workflows—where several specialized AI agents...
Tutorials 2-Live Getting Started With LangGraph For Building AI Agents
Agentic AI is framed as a higher-level system that coordinates multiple AI agents to pursue a larger goal, while “AI agents” are treated as narrower...
Generative AI With LLM Models Crash Course On AWS Cloud
The core takeaway is a practical end-to-end blueprint for building generative AI applications on AWS: pick a use case, choose a model strategy...
MLOPS Tutorial- Automating Workflow Of CI/CD for Dockerized Flask App Using Github Action
A complete CI/CD workflow for a Dockerized Flask app is built using GitHub Actions, with automated unit testing, Docker image creation, and...
LLM Evaluation With MLFLOW And Dagshub For Generative AI Application
LLM evaluation becomes manageable when experiment tracking and metric scoring are centralized in MLflow and pushed to a shared dashboard via DagsHub....
Modern Approach To Learn AI For Any Roles
AI learning paths should be chosen based on experience level and coding comfort—not treated as one-size-fits-all. The core idea is a “modern...
Frameworks And Roadmap To Follow For Mastering Agentic AI System
Agentic AI systems are moving from experimentation into job requirements, and the practical path to building them starts with strong Python...
Exploring Job Market Of Generative AI Engineers- Must Skillset Required By Companies
Generative AI engineering jobs are converging on a clear, repeatable skill stack: strong software development plus hands-on experience building and...
8-Building Gen AI Powered App Using Langchain And Huggingface And Mistral
A practical end-to-end recipe for building an open-source RAG (retrieval-augmented generation) Q&A app comes together by chaining LangChain document...
End To End Document Q&A RAG App With Gemma And Groq API
An end-to-end document Q&A chatbot is built by pairing Google’s open embedding models with Groq’s fast inference for the LLM layer—then wiring both...
Getting Started With Meta Llama 3.2 And its Variants With Groq And Huggingface
Meta’s Llama 3.2 arrives as a new open-source family built for both on-device deployment and multimodal reasoning, with variants spanning 1B, 3B,...
3-Build RAG Pipeline From Scratch-Building Advanced Retreival Query Pipline-Part 2
Retrieval-Augmented Generation (RAG) becomes practical once the system can (1) pull the right chunks from a vector database and (2) feed that...
Generative AI Project Lifecycle-GENAI On Cloud
Generative AI projects on cloud follow a repeatable lifecycle: define the business use case, choose and adapt the right model, evaluate it, then...
Freelancing, Consultant And Remote Jobs Are Increasing For Generative AI
Generative AI demand is translating into real freelancing and consulting opportunities—especially for people who can build end-to-end applications...
Build Generative AI Apps with Docker And Hugging Face's Docker Spaces
A practical path to ship a text-generation generative AI app is laid out end-to-end: build a FastAPI service that wraps a Hugging Face Transformers...
Live Q&A With Nitish Singh @CampusX- Ask Any Questions-Data Science
The central message from this CampusX-style live Q&A is that landing an AI/data-science job in the generative-AI boom won’t come from chasing the...
Build Your Own Private Assistant With OpenClaw And Ollama
A local, open-source “private assistant” workflow can replace many daily interactions with cloud chatbots by keeping prompts, outputs, and automation...
What Is LLM HAllucination And How to Reduce It?
LLM hallucination is what happens when a large language model produces confident answers that are not factually correct—often by “making up” details...
5-Getting Started With Agentic RAG With Detailed Implementation Using LangGraph
Agentic RAG shifts retrieval from a fixed pipeline to a decision made on the fly: an autonomous agent chooses when to fetch context, what to fetch,...
All You Need To Know About Open AI GPT-4o(Omni) Model With Live Demo
OpenAI’s GPT-4o (“Omni”) is positioned as a real-time, multimodal flagship model that can reason across audio, vision, and text—while responding with...
Augment Code- Your Best AI Coding Assistant
Augment Code positions AI coding agents as a workflow tool for experienced developers working in large codebases—then backs that pitch with a...
Some Important Advice For People Learning AI
AI career advice hinges on one practical idea: treat AI as a differentiator inside your existing domain, then learn it through a focused, repeatable...
Groq-LPU™ Inference Engine Better Than OpenAI Chatgpt And Nvidia
Generative AI’s next competitive edge is shifting from model quality to inference speed—and Groq’s LPU inference engine is presented as a concrete...
Introducing Llama 3.1: Meta's most capable models to date
Meta’s newly released Llama 3.1 positions open-source AI as a serious contender to top paid models, with the biggest draw being multimodal capability...
What Are Deep Agents? Shallow Agents Vs Deep Agents
Deep agents are built for complex, multi-step work that shallow agent loops struggle to handle—by adding explicit planning, task decomposition into...
Getting Started With Nvidia NIM-Building RAG Document Q&A With Nvidia NIM And Langchain
NVIDIA NIM is positioned as a fast, scalable way to deploy generative AI through inference microservices, letting developers call multiple model...
Mastering LLM Chatbots And RAG Evaluation Crash Course
LLM chatbot and RAG quality can be measured systematically by combining three ingredients: curated test data (inputs plus ground-truth outputs),...
Guardrails with LangChain: A Complete Crash Course for Building Safe AI Agents
Safe AI agents rely on guardrails that control what enters and exits an LLM-driven workflow. In practice, guardrails sit around the agent...
When Generative AI Is Effective And Not Effective?
Generative AI delivers its biggest, most reliable value in content generation and conversational user interfaces—while many “business prediction”...
How To Approach Python With Vibe Coding In 2026
Learning Python in 2026 should be built around AI-ready development, not just syntax. With generative AI, LLM integration, and RAG-style applications...
Learn Claude before it replace you | Master Claude From Scratch | AI for Everyone: Session 1
The session’s core message is that Claude can be used to build real, reusable “AI employees” (skills) and production-style artifacts—without...
Basics And Foundation Is Important For Any Data Science or GENAI Roles-Start From Basics
Hiring for NLP and generative AI roles often starts with fundamentals, not flashy LLM demos—and that mismatch is why many candidates get stuck even...
Run LLMs Locally With Docker Model Runner
Running open-source LLMs locally is now straightforward with Docker Model Runner, as long as Docker Desktop is updated and a few settings are...
Hugging Face x LangChain:A new partner package in LangChain
Hugging Face and LangChain have teamed up with a dedicated partner package that makes it straightforward to call Hugging Face hosted and open-source...
Can We Learn Generative AI With Open Source Models- All Alternatives To Open AI Paid API's
Learning generative AI doesn’t require an OpenAI paid API account. A practical path exists using open-source LLMs—especially through Hugging...
How Do I Stay Updated With The Recent Development In AI
Staying current in AI isn’t about chasing every headline—it’s about building a repeatable information pipeline that turns new research and product...
Hands On With Google Gemini 1.5 Pro- Is this the Best LLM Model?
Google Gemini 1.5 Pro is positioned as a major step up for building generative AI apps because it can handle extremely long context—up to about 1...
Advanced Q&A Chatbot Using Ragstack With vector-enabled Astra DB Serverless database And Huggingface
A practical RAG (retrieval-augmented generation) chatbot setup ties together Ragstack, a vector-enabled Astra DB Serverless database, and Hugging...
Processing 100+ GBs Of Data In Seconds Using Polars GPU Engine
Polars’ GPU engine can cut multi-step data preprocessing workloads from seconds to hundreds of milliseconds by offloading supported operations to...
Are You Learning From The Right Mentors?
Upskilling efforts shouldn’t be wasted on flashy claims or low-credibility “mentors.” The central message is that people investing time, money, and...
Vectorless RAG Tutorial With PageIndex-No VectorDB And Chunking Required
Vectorless RAG replaces the usual “chunk → embed → store in a vector database → similarity search” pipeline with a document-structure index that an...
Learn Agentic AI in 2026 With These 7 Steps
Agentic AI becomes “production-ready” only when learning goes beyond building a basic LLM app and instead follows a structured path from fundamentals...