Nikhil Agarwal

    Nikhil Agarwal

    AI · English

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    Who Is Nikhil Agarwal?

    Nikhil Agarwal is a software engineer and educator dedicated to demystifying modern artificial intelligence integration for full-stack developers. As the driving force behind Coding Technyks, Nikhil specializes in bridging the gap between theoretical AI concepts and production-ready applications. His teaching philosophy centers on project-based learning, guiding students through the complexities of Agentic AI, Retrieval-Augmented Generation (RAG), and the Model Context Protocol (MCP). Nikhil believes that the best way to master software engineering is by building real-world systems from scratch. In his courses, he breaks down sophisticated architectural patterns into manageable, step-by-step implementations, ensuring developers understand not just the "how" but also the "why" behind every line of code. Through his practical approach, Nikhil helps engineers transition from traditional software development into the rapidly evolving field of AI engineering. His instructional style is hands-on, highly structured, and designed to equip developers with the exact skills needed to design, deploy, and scale intelligent, agentic systems.

    Overview of Nikhil Agarwal

    CategoryAI
    LanguageEnglish
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    Nikhil Agarwal's Programs

    Agentic AI Full‑Stack Masterclass: RAG, MCP & AI Agents bannerHighest rated
    Agentic AI Full‑Stack Masterclass: RAG, MCP & AI AgentsAI Agents

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    The Agentic AI Full-Stack Masterclass represents a comprehensive guide for developers looking to move beyond simple chatbot APIs and build fully autonomous, production-grade AI systems. Led by creator Nikhil Agarwal, this masterclass focuses on the intersection of modern full-stack development and cutting-edge artificial intelligence, utilizing a robust stack that includes Angular, Node.js, Express, and leading LLM architectures from OpenAI and Google Gemini. Participants will dive deep into the Model Context Protocol (MCP), learning how to design and deploy custom MCP servers that grant large language models real-world tool execution capabilities. The curriculum thoroughly addresses Retrieval-Augmented Generation (RAG), guiding learners through embedding generation, semantic vector searches with databases like ChromaDB and pgVector, and manual cosine similarity implementations. By building a complete streaming chat interface in Angular, developers learn how to handle real-time data flow, render Markdown, and display intermediate tool execution outputs. This course is ideal for full-stack software engineers, system architects, and AI enthusiasts who want to master practical, end-to-end AI agent deployment rather than just theoretical concepts.

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    FAQ

    Answers to what buyers usually ask before enrolling in Nikhil Agarwal’s courses, pricing, reputation, refunds, and how AllPros scores verified reviews.
    What is Nikhil's teaching style?

    Nikhil teaches using a highly practical, code-first methodology. Instead of spending hours on theoretical slides, he focuses on building real-world, full-stack projects from scratch, helping students understand architectural patterns and debugging in real time.

    Who are these courses designed for?

    The courses are primarily designed for full-stack developers, software engineers, and technical architects who want to transition into AI engineering and learn how to build, deploy, and scale complex, agentic AI systems.

    Do I need a background in machine learning or data science?

    No prior data science or machine learning background is required. Nikhil focuses on the engineering layer, showing you how to integrate AI capabilities, build agents, and implement RAG architectures using modern APIs and frameworks.

    What specific tools and concepts are covered?

    The curriculum dives deep into Agentic AI, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), autonomous AI agents, and full-stack integration strategies for putting AI models to work in production environments.

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