Manpreet Singh

    Manpreet Singh

    AI · English

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    Who Is Manpreet Singh?

    Manpreet Singh is a dedicated AI practitioner and cloud solutions architect who specializes in bridging the gap between theoretical artificial intelligence and real-world, production-ready deployments. With a deep focus on Agentic AI, Manpreet empowers developers, engineers, and tech leaders to move beyond simple chatbot applications and build autonomous, multi-agent systems that solve complex business problems. His teaching philosophy centers on rigorous hands-on practice, architecture design, and cloud integration, particularly using framework-heavy ecosystems like CrewAI combined with robust AWS environments. Manpreet believes that true learning happens when students grapple with real-world constraints such as latency, security, scalability, and state management. Through his courses, he guides learners step-by-step through setting up production-grade orchestrations, monitoring agent behaviors, and deploying resilient workloads. Whether you are a software engineer seeking to pivot into AI engineering or a cloud architect aiming to master agentic frameworks, Manpreet's structured, code-first instruction provides the actionable blueprints and conceptual clarity required to build the next generation of intelligent software.

    Overview of Manpreet Singh

    CategoryAI
    LanguageEnglish
    Social links
    linkedin

    * Based on public sources, unverified.

    Manpreet Singh's Programs

    Agentic AI: Production Grade AI Agents using CrewAI and AWS bannerHighest rated
    Agentic AI: Production Grade AI Agents using CrewAI and AWSAI Agents

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    Agentic AI is rapidly evolving from simple chatbot implementations into complex, autonomous workflows. This course provides a comprehensive roadmap for moving beyond basic LLM prompting into the realm of professional-grade autonomous agent design. Students are guided through the architectural intricacies of building multi-agent systems using CrewAI, a powerful framework for orchestrating agent collaboration. By leveraging AWS Bedrock and AgentCore, the curriculum ensures that you are building on a robust, enterprise-ready infrastructure. A key focus is placed on the practical integration of Retrieval-Augmented Generation (RAG) and the Model Context Protocol (MCP) to provide agents with real-time, domain-specific intelligence. Furthermore, the course addresses the critical lifecycle of an AI agent, covering advanced topics like persistent memory, inter-agent communication (A2A), and sophisticated observability using Langfuse. By teaching you how to apply the 'LLM-as-a-Judge' framework for data-driven performance evaluations and essential security measures, this course helps learners transition from writing experimental scripts to architecting resilient, production-grade applications that can solve complex, multi-step business problems independently and reliably.

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    FAQ

    Answers to what buyers usually ask before enrolling in Manpreet Singh’s courses, pricing, reputation, refunds, and how AllPros scores verified reviews.
    What is Manpreet's background in AI and cloud computing?

    Manpreet has spent years working at the intersection of software engineering, cloud architecture, and artificial intelligence, specializing in designing scalable backend systems and deploying multi-agent AI workflows using AWS infrastructure and modern framework ecosystems like CrewAI.

    Who are these courses designed for?

    The courses are designed for software engineers, backend developers, cloud architects, and technical product managers who already understand basic programming and cloud concepts but want to learn how to design, coordinate, and scale production-grade Agentic AI solutions.

    What is Manpreet's teaching style?

    Manpreet uses a highly practical, code-first teaching style. He avoids purely theoretical lectures, focusing instead on building functional projects from scratch, dissecting architectural patterns, and debugging real-world failure states directly on screen.

    Will students learn how to deploy agents to the cloud?

    Yes, a core component of Manpreet's curriculum involves cloud integration. Students learn not just how to build agents locally with CrewAI, but also how to architect, secure, and deploy them to production environments utilizing AWS services.

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