Saikat Sarkar

Tokenization and Vectorization in Deep Learning

Learn how tokenization and vectorization transform text into numerical representations for deep learning models. Includes Python examples with Keras, Word2Vec, and BERT.

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Text-to-SQL with Vanna.AI and Python

Learn how to use Vanna.AI with Python to convert natural language questions into SQL queries and run them against your database. Step-by-step guide with code examples, setup, and use cases.

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Vector Databases — What they are and how they differ from SQL/NoSQL

Learn what vector databases are, why they power semantic search and RAG, how they differ from SQL/NoSQL, example tools, and code snippets to get started with embeddings + ANN search.

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LLaMA Explained — Meta’s Open-Source Large Language Model

Understand LLaMA, Meta’s open-source large language model. Learn its versions, features, and how to use LLaMA in Python with Hugging Face.

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How to Deploy ML/AI Models in AWS

Step-by-step guide to deploying ML/AI models in AWS using SageMaker, Lambda, ECS, EC2, and more with Python examples.

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AI + Space Systems: The Future of Modeling & Simulation

How AI is transforming modeling & simulation for space systems — trajectory optimisation, anomaly detection, constellation management and more. Includes Python simulation and RL examples.

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How to Build a Data Lake on AWS — Step by Step Guide

Learn how to design and build a scalable Data Lake on AWS using S3, Glue, Athena, Redshift, QuickSight, and Lake Formation. Includes architecture, workflow, and best practices.

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Agentic AI — Real-World Use Cases Across Industries

Explore practical use cases of Agentic AI across business, finance, healthcare, customer support, supply chain, and personal productivity.

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Fraud Analytics in Credit Card Transactions with AI and Python

Learn how to detect fraud in credit card transactions using AI and Python. Covers data, features, supervised & unsupervised models, code examples, explainability, and deployment best practices.

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Semantic Search with Python

Semantic search uses embeddings to capture the meaning of text so you retrieve relevant results.

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Model Performance Metrics — How to Choose the Right One

A practical guide to model evaluation metrics: classification, regression, ranking and business metrics — when to use each, pros and cons.

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Semantic search with Generative AI (GPT)

How to integrate semantic search with Generative AI (GPT) to build chat-with-your-documents systems using Python and LangChain.

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GenAI in FinTech – Smart POS Payment Assistant

Use case of Generative AI in FinTech: AI-powered Smart Payment Assistant at POS for digital payments.

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What is Monte Carlo Simulation?

Monte Carlo Simulation usesrandom sampling to estimate probabilities of outcomes in uncertain processes. In option pricing, it means simulating future stock prices, calculating option payoffs, and averaging results.

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