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

An introductory breakdown of Web3, explaining its origins, decentralized data sharing, mining, smart contracts, tokenomics, and metaverse applications.

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

Complete Natural Language Processing Machine Learning Tutorial

1 rating

Comprehensive NLP tutorial covering tokenization, preprocessing, encoding, and word embeddings. Practical implementations and in-depth explanations for beginners and intermediate learners.

• YouTube
• 3 hours 53 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

Generative AI vs Agentic AI vs AI Agents

1 rating

Explore the distinctions between generative AI, agentic AI, and AI agents, focusing on how agentic AI operates autonomously to solve complex problems in real-time.

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

End-to-End Deep Learning Project: Kidney Disease Classification with MLflow, DVC, and Deployment

Comprehensive deep learning project on kidney disease classification, covering data ingestion, model preparation, training, evaluation, MLflow integration, DVC pipeline, and AWS deployment.

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

MLOps - Machine Learning Production Grade Deployment Techniques - One-Shot Tutorial

Learn MLOps techniques for production-grade machine learning deployment across AWS and Azure platforms, including Elastic Beanstalk, EC2, Web Apps, and Docker with GitHub Actions.

• YouTube
• 1 hour 44 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video