Krish Naik — Person Summaries
AI-powered summaries of 50 videos about Krish Naik.
50 summaries
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...
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...
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...
#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...
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...
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...
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...
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...
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...
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...
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....
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...
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...
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...
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,...
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...
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...
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...
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,...
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...
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...
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...
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...
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...
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”...
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...
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...
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...
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...