Krishna Naik — Person Summaries
AI-powered summaries of 23 videos about Krishna Naik.
23 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...
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...
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...
What Is Agentic RAG?
Agentic RAG upgrades traditional retrieval-augmented generation by adding an intelligent routing layer that decides which knowledge base to consult...
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...
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...
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...
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...
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:...
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...
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...
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...
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...
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...
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),...
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...
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...
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...