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