Krish Naik Courses

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

2 reviews

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
• On-Demand
• Free Video

Decrypting Web 3.0

1 review

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
• On-Demand
• Free Video

Complete Langchain Course for Generative AI

1 review

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
• On-Demand
• Free Video

BentoML Tutorial - Build Production Grade AI Applications

Learn to build scalable AI applications with BentoML, covering implementation, model serving, API demo, and packaging for production deployment.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Step-by-Step Machine Learning Project Implementation: EDA, Feature Engineering, Selection, and Model Training

Comprehensive guide to implementing a machine learning project, covering data cleaning, EDA, feature engineering, selection, model training, and hyperparameter tuning.

• YouTube
• 1 hour 26 minutes
• On-Demand
• Free Video

End to End MLOPS Data Science Project Implementation With Deployment

Comprehensive MLOps project implementation covering data ingestion, validation, transformation, model training, and deployment on AWS EC2 using MLflow and GitHub Actions.

• YouTube
• 2 hours 33 minutes
• On-Demand
• Free Video

End to End Deep Learning Project Using MLOPS DVC Pipeline With Deployments Azure and AWS - Krish Naik

Comprehensive guide to building and deploying a deep learning project for chicken disease classification using MLOps tools, DVC pipeline, and cloud platforms Azure and AWS.

• YouTube
• 3 hours 51 minutes
• On-Demand
• Free Video

Machine Learning Series - Revising Complete Linear Regression, Cost Function, Convergence Algorithm

Comprehensive review of linear regression, covering simple and multiple regression, cost function, and convergence algorithms with mathematical intuition and practical examples.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Anomaly Detection Tutorials - Machine Learning and Its Types With Implementation

Comprehensive tutorial on anomaly detection techniques in machine learning, covering Isolation Forest, DBSCAN clustering, and Local Outlier Factor with practical implementations and examples.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Inside ChatGPT- Unveiling the Training Process of OpenAI's Language Model

Explore the training process behind ChatGPT, including generative pretraining, supervised fine-tuning, and reinforcement learning through human feedback. Gain insights into AI language model development.

• YouTube
• 21 minutes
• On-Demand
• Free Video

End to End NLP Project Implementation With Deployment Github Action - Text Summarization - Krish Naik

Comprehensive guide to implementing an end-to-end NLP text summarization project, covering data processing, model training, evaluation, and deployment using GitHub Actions on AWS.

• YouTube
• 3 hours 38 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Evidently AI Tutorial - Open Source ML Models Monitoring and Observability

Learn to monitor and evaluate ML models with Evidently AI, an open-source Python library for data scientists. Explore reports, test suites, and dashboards for continuous model quality assessment.

• YouTube
• 30 minutes
• On-Demand
• 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
• On-Demand
• Free Video