Industry Ready AI Projects With Deployment
Krishna announced a new product – an end‑to‑end, industry‑grade AI project library with deployment on AWS, GCP and Azure, sold as a yearly subscription. The catalog currently contains 47 projects spanning agentic AI, computer vision, data analytics, deep learning, generative AI, NLP and more, each with detailed architecture diagrams, curriculum, and interview guides. Subscribers receive recorded videos and monthly additions, plus live weekend walkthroughs beginning Jan 31, 2026, from 8‑11 pm IST. Early‑bird pricing is ₹9,000 for the first 500 enrollments, rising to ₹12,000 thereafter; international fees include a 4.5 % gateway charge. Krishna highlighted a sample “Azure multimodel compliance orchestration engine” project, noting that its architecture can be discussed in interviews to boost hiring chances. He also mentioned upcoming integration with evolveview.ai for mock interviews and résumé building, and corporate licensing options for enterprises. The offering targets fresh graduates, data scientists, solution architects and team leads seeking hands‑on, cloud‑native AI experience, promising to shorten the gap between academic learning and production‑ready skills. If adopted widely, it could become a go‑to resource for upskilling in a rapidly expanding AI talent market.
Building Deep Agents Tutorial With Langchain- Part 1
The video introduces deep agents, a next‑generation AI architecture that moves beyond the simple request‑response loop of traditional, or "shallow," agents. Krish Naik explains that shallow agents rely on a single LLM decision to either generate an answer or call...
AI-Powered Database Schema Design
The video spotlights a persistent pain point for AI product teams: designing efficient PostgreSQL schemas from scratch. Krish Nayak explains that generic large‑language models often miss optimal data types, table relationships, and indexing strategies, leading to sub‑par implementations. To address...
Updated Langchain Version V1 Crash Course- Build Autonomous Agents
The video serves as a crash‑course on the newly released LangChain v1, walking viewers through the framework’s most significant updates and demonstrating how to build autonomous agents with the latest features. Krush Nair frames the tutorial as a one‑shot guide for...
Day 4-Live Session-Getting Started With Generative And Agentic AI In 2026
The live session titled “Day 4‑Live Session‑Getting Started With Generative And Agentic AI In 2026” opened with the presenter outlining a comprehensive roadmap for anyone looking to break into AI, from fresh graduates to senior executives. He emphasized that the...
Day 3-Live Session- Learning Python With Vibe Coding In 2026
The video is the third live session of the “Learning Python with Vibe Coding in 2026” series, where the instructor recaps the first two days and pivots the curriculum toward using large language models (LLMs) to solve business problems without...
Day 2-Live Session- Learning Python With Vibe Coding In 2026
The video is the second live session of the "Python in 2026" series by Vibe Coding, aimed at professionals who need a rapid, production‑ready introduction to Python rather than a textbook‑style curriculum. The instructor frames the class as a shortcut...
How To Approach Python With Vibe Coding In 2026
YouTuber Krishna outlines a four-part roadmap for learning Python in 2026 centered on generative AI and ‘‘vibe’’/agentic coding. He recommends mastering Python fundamentals (data structures, OOP, numpy/pandas, logging, error handling), adopting the new UV package manager for environment and dependency...
Live Session- Learning Python With Vibe Coding In 2026
In a live YouTube session, data scientist Monul Kumar launched a new Python-for-2026 series aimed at teaching coding approach rather than rote syntax, positioning Python as the foundational skill for machine learning, deep learning and generative AI. He emphasized adapting...
Build Advanced Retrieval-Augmented Generation (RAG) with MongoDB Vector Search
Presenter Kash Nayak demonstrates how to build a retrieval-augmented generation (RAG) application using MongoDB Vector Search, walking viewers through account setup, cluster deployment, and the end-to-end architecture. He outlines the three RAG stages—data injection (embedding generation), vector storage in a...
Best For Beginners-2.0 Ultimate Data Science & GenAI Bootcamp Announcement
The video announces the launch of the 2.0 Ultimate Data Science & Generative AI bootcamp, slated to begin on January 11, 2026. Classes will run every Saturday and Sunday from 9:00 a.m. to 1:00 p.m. IST, with an additional weekday session on...
Agentic AI Bootcamp With No Code Tools N8n Udemy Course Announcement
Hello all, my name is Krishna and welcome to my YouTube channel. In this video Krishna announces a brand‑new Udemy offering – a comprehensive “AI Automation and Agentic AI Bootcamp” built around the no‑code workflow platform n8n. The course was...
Google Antigravity IDE- The Best Agentic Next Gen IDE
The video introduces Google’s newly announced Antigravity IDE, positioned as a next‑generation, agentic AI development environment that aims to compete with tools like Cursor, VS Code, and Google Cloud Code. The presenter, Prash Nayak, walks viewers through the download, installation, and initial...
What Are Deep Agents? Shallow Agents Vs Deep Agents
The video introduces the concept of “deep agents” and contrasts them with the more common “shallow agents” that power today’s generative‑AI tools. Krishna walks viewers through the evolution from simple LLM‑only applications to independent agents, then to multi‑agent systems like...
