Krish Naik Courses

All You Need to Know About Model Context Protocol (MCP)

2 ratings

Discover how Model Context Protocol (MCP) standardizes context provision to LLMs, functioning like a USB-C port for AI applications by connecting models to various data sources and tools.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Decrypting Web 3.0

1 rating

Explore the fundamentals of Web 3.0, including mining, cryptocurrencies, data sharing, smart contracts, tokenomics, and the metaverse in this comprehensive breakdown with industry expert Pareen Lathia.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Complete Langchain Course for Generative AI

1 rating

Comprehensive guide to building AI applications with LangChain, covering chatbots, RAG pipelines, and integration with various tools and platforms for generative AI development.

• YouTube
• 3 hours 14 minutes
• Self-Paced
• Free Video

How to Deploy End to End ML Projects in Production AWS Cloud Using CI CD Pipeline

Deploy ML projects on AWS using CI/CD pipeline, ECR, and EC2. Learn to set up Docker, IAM, and App Runner for seamless end-to-end deployment of machine learning applications in the cloud.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Docker for Data Science Tutorial

Comprehensive Docker tutorial for data scientists, covering containers, images, installation, and Docker Compose. Learn to implement end-to-end data science projects using Docker.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

FAANG Interview DSA Series - Heap Sort, Binary Tree, Min Heap and Max Heap Tree and Interview Questions

Comprehensive guide to heap sort, binary trees, and min/max heaps, with practical implementations and interview question solutions for FAANG-level coding challenges.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

FAANG DSA Series - Discussing Sorting Algorithms - Selection, Bubble and Insertion Sort - Ft Priya Bhatia

Comprehensive exploration of sorting algorithms including selection, bubble, and insertion sorts, covering implementation, stability, and in-place vs. out-of-place techniques.

• YouTube
• 1 hour 56 minutes
• Self-Paced
• Free Video

End to End Machine Learning Project Implementation with Dockers, GitHub Actions and Deployment

Comprehensive guide to implementing a machine learning project, covering data analysis, model training, web application development, and deployment using Docker and GitHub Actions.

• YouTube
• 2 hours 45 minutes
• Self-Paced
• Free Video

Discussing All Search Algorithms With Interview Based Questions

Comprehensive exploration of search algorithms, including linear, binary, and ternary search, with implementations and interview problem-solving techniques for data structures and algorithms.

• YouTube
• 2 hours 10 minutes
• Self-Paced
• Free Video

Complete Statistics for Data Science

Comprehensive statistics guide covering descriptive and inferential techniques, probability, hypothesis testing, and data analysis using Python. Ideal for aspiring data scientists and analysts.

• YouTube
• 5 hours 29 minutes
• Self-Paced
• Free Video

Complete Machine Learning in 6 Hours - Krish Naik

Comprehensive machine learning tutorial covering key algorithms, techniques, and practical implementations for regression, classification, clustering, and ensemble methods.

• YouTube
• 6 hours 38 minutes
• Self-Paced
• Free Video

Deep Learning Indepth Tutorials With Krish Naik

Comprehensive deep learning tutorial covering key concepts, techniques, and practical implementations, from perceptrons to CNNs, with hands-on examples and expert insights.

• YouTube
• 5 hours 42 minutes
• Self-Paced
• Free Video

Introduction to Statistics in Data Science

Comprehensive introduction to key statistical concepts in data science, covering population, sampling, variables, measurement scales, and data visualization techniques.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video

Face Matching Application Using Deep Learning - End to End Implementation

Develop a Bollywood celebrity face matching application using deep learning, covering data collection, architecture design, environment setup, implementation stages, and web app creation.

• YouTube
• 3 hours 16 minutes
• Self-Paced
• Free Video

Implementation of Perceptron in Deep Learning Using Python from Scratch

Comprehensive guide to implementing perceptrons in Python, covering theory and practical coding from scratch for deep learning enthusiasts and AI developers.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video