Krish Naik Courses

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

Build a linear-regression house-price application, expose predictions through Flask, and deploy it with GitHub Actions, Docker, and Heroku.

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

Discussing All Search Algorithms With Interview Based Questions

Explore linear, binary, and ternary search through array implementations, recurrence relations, matrix search, and interview-style problems.

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

Complete Statistics for Data Science

Learn descriptive and inferential statistics, probability, distributions, hypothesis tests, and correlations with Python for data science.

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

Complete Machine Learning in 6 Hours - Krish Naik

A six-hour interview-focused survey of machine learning algorithms, combining mathematical intuition with practical examples across regression, classification, ensembles, clustering, and SVMs.

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

Deep Learning Indepth Tutorials With Krish Naik

Deep learning fundamentals with mathematical intuition and practical implementations of artificial and convolutional neural networks.

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

Introduction to Statistics in Data Science

An introduction to statistics for data science covering populations, sampling, variables, measurement scales, frequency distributions, bar graphs, and histograms.

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

Face Matching Application Using Deep Learning - End to End Implementation

Builds a deep learning face-matching web app that compares a user’s image with Bollywood celebrity faces, from dataset preparation through Streamlit implementation.

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

Implementation of Perceptron in Deep Learning Using Python from Scratch

Implement a perceptron in Python from scratch, including training, prediction, loss calculation, model saving, and demonstrations of linear separability.

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

Deep Learning - All Optimizers in One Video - SGD with Momentum, Adagrad, Adadelta, RMSprop, Adam Optimizers

A focused review of gradient descent and popular deep-learning optimizers, including SGD with momentum, Adagrad, Adadelta, RMSprop, and Adam.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

Getting Started with Meta Llama 3.2 and Its Variants Using Groq and Hugging Face

Explore Meta Llama 3.2 variants using Groq and Huggingface. Learn to fine-tune, distill, and deploy this open-source AI model in various sizes for your projects.

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

MLOps Tutorial - Automating CI/CD Workflow for Dockerized Flask App Using GitHub Actions

Automate CI/CD for Dockerized Flask apps using GitHub Actions. Learn to build Docker images, push to Docker Hub, and streamline deployment workflows for Python applications.

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

MLOps GitHub Actions with CI/CD Pipeline Tutorial

Learn to implement MLOps with GitHub Actions, covering CI/CD pipelines, developer workflows, and unit testing for efficient machine learning project management and deployment.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

End-to-End Multi AI Agents RAG with LangGraph, AstraDB, and Llama 3.1

Explore multi-agent AI systems using LangGraph, AstraDB, and Llama 3.1. Learn to build advanced RAG applications with vector databases and open-source models.

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

Building Multi AI Agents Chatbots with External Tools Using LangGraph - Tutorial 2

Learn to create stateful, multi-actor AI applications using LangGraph. Explore cycles, controllability, and persistence features for building advanced agent workflows and chatbots with external tools.

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

Getting Started with LangGraph - Building Stateful Multi-AI Agents - Tutorial 1

Learn to create stateful, multi-actor LLM applications using LangGraph. Explore graph structure, state management, and coordination for sophisticated agent runtimes extending LangChain capabilities.

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