Production-Ready AI Agents: MCP, Guardrails, Evaluation, and Enterprise Deployment

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Module 4 of the Agentic AI Mastery Course by Dr. Ananjan Maiti From Prototype to Production: The Deployment Challenge Building an AI agent that works in a controlled development environment is fundamentally different from deploying one that operates reliably in production. Development agents can tolerate occasional failures, hallucinations, and inconsistent behavior. Production agents cannot. The … Read more

RAG, Memory Systems, and Advanced Architectures for AI Agents

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Module 3 of the Agentic AI Mastery Course by Dr. Ananjan Maiti Why Retrieval-Augmented Generation Changes Everything Large language models are trained on vast datasets, but their knowledge is frozen at the point of training. They cannot access proprietary company data, recent developments, or specialized domain knowledge that was not included in their training corpus. … Read more

Frameworks and Tools for Building AI Agents: LangChain, LangGraph, CrewAI, and Beyond

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Module 2 of the Agentic AI Mastery Course by Dr. Ananjan Maiti The Framework Landscape for Agentic AI Development Building AI agents from scratch — implementing planning loops, memory management, tool integration, and error handling — is technically possible but impractical for most applications. Modern agentic AI frameworks abstract these complexities, providing structured architectures that … Read more

Foundations of Agentic AI: From Reactive Models to Autonomous Intelligence

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Module 1 of the Agentic AI Mastery Course by Dr. Ananjan Maiti The Shift from Reactive AI to Autonomous Intelligence Artificial intelligence has evolved through three distinct phases, each representing a fundamental shift in capability. Understanding this evolution is essential for grasping why agentic AI represents the most significant advancement in applied artificial intelligence since … Read more

Why Large Language Models Tend to Hallucinate on Certain Questions

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Why LLMs Hallucinate — Interactive Research Post Featured Research Why Large Language Models Tend to Hallucinate on Certain Questions A deep-dive into the computational, probabilistic, and data-driven roots of AI hallucination — and what the evidence from GPT models tells us about building safer, more reliable systems. Based on 30+ peer-reviewed studies · Dr. Ananjan … Read more

A Comprehensive Guide to Installing Packages with pip and Virtual Environments on Windows

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A Comprehensive Guide to Installing Packages with pip and Virtual Environments on Windows Python, renowned for its versatility and power, offers a vast array of packages to assist developers. However, efficiently managing these packages can sometimes be a challenge. This article will guide Windows users through the process of installing packages using pip and virtual … Read more

Data Science – Hypothesis testing – Interview questions and answers

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1. Hypothesis Testing Q1: A company claims that their new energy drink boosts the average energy levels of individuals by 20%. You collect data from 100 individuals who consumed the energy drink and find an average boost of 18% with a standard deviation of 5%. Using the 0.05 significance level, test the company’s claim. A1: … Read more

Data Science – Descriptive & Inferential Statistics: Interview Questions & Answers

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Q1. What is the difference between descriptive and inferential statistics? Give an example. Answer: Descriptive statistics is concerned with summarizing and organizing data to describe its main features. For example, if you have the test scores of 100 students, the average score would be a descriptive statistic. Inferential statistics, on the other hand, makes predictions … Read more

A Comprehensive Guide to Lists in Python and How to Use Them Effectively

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Introduction: What is a List in Python and How is it Different From Other Data Types? keywords: (list python, list data type python, what is a list in python, how to use lists in python) Python, a high-level, interpreted programming language, is renowned for its simplicity and readability, making it a popular choice among beginners … Read more

Improving detection of Melanoma and Naevus with deep neural networks

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Improving detection of Melanoma and Naevus with deep neural networks

Machines can acknowledge the images of skin lesion as well as the disease compared to an experienced dermatologist. These might be executed by giving a proper label for the provided images of skin lesion. Within the proposed study researchers have examined various frameworks for detection of skin cancer as well as classification of melanoma. The … Read more