Building Retrieval-Augmented Generation (RAG) with Amazon Bedrock
Learn how to implement Retrieval-Augmented Generation (RAG) using Amazon Bedrock with Python, embeddings, and vector databases for enterprise-grade AI search.
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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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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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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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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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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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Vision Transformers (ViT) — Explained + Sample Code
Introduction to Vision Transformers (ViT) with clear explanation and runnable Python code samples (PyTorch).
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The Hottest AI Trends in 2025
Explore the top AI trends in 2025: Generative AI, Agentic AI, RAG with knowledge graphs, synthetic data, multimodal models, AI governance and more.
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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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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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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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Agentic AI for Trading — Prototype & Demo (LangChain + Broker API)
How to prototype an agentic AI system for stock trading: architecture, code demo (LangChain + embeddings + broker API), risk controls and deployment steps.
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Solving Sudoku with Python — Backtracking Explained
A practical walkthrough: implement a Sudoku solver in Python using backtracking (plus simple optimizations). Includes runnable code and example.
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Monte Carlo Simulation for Option Pricing
Monte Carlo Simulation for Option Pricing explained with Python example and chart visualization.
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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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Semantic Search with Python
What is Semantic Search, how it works, and a Python example with Sentence-Transformers and FAISS.
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Integrating Semantic Search with 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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