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ML Deployment on AWS: From Notebook to Production

ML deployment on AWS

Register for Masterclass

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    In this masterclass, Deploy using EC2, SageMaker & Lambda. Live Production Demo Included.

    We will cover:

    1. ⁠Master ML model deployment on Microsoft Azure with practical examples.
    2. ⁠Deploy using Azure Virtual Machines, Azure Machine Learning and Azure App Service.
    3. Learn endpoint creation, scaling and production best practices.
    4. ⁠Includes end-to-end live deployment walkthrough.
    ML deployment on AWS

    What You’ll Learn?

    • Deploy ML models on Azure cloud environment
    • Create scalable online endpoints
    • Understand enterprise-grade ML deployment flow
    • Build production-ready ML solutions
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    Who Should Attend this Masterclass?

    This masterclass is ideal for:

    • Machine Learning Engineers who want to move from model building to real-world deployment
    • Data Scientists ready to push models into production instead of stopping at notebooks
    • AI/ML Enthusiasts who understand modeling basics and want practical cloud exposure
    • Software Developers exploring ML integration using Azure services
    • MLOps Engineers looking to understand Azure-native deployment workflows
    • Cloud Engineers (Azure-focused) who want to work on ML workloads
    • Tech Leads & Architects planning scalable ML systems on Azure
    • Students & Early-Career Professionals with foundational ML knowledge aiming for job-ready skills
    Register Now

    Frequently Asked Questions

    1. Who is this AI masterclass for?

    This masterclass is ideal for working professionals, developers, analysts, testers, who want to upskill in AI, switch to AI and beginners who want to understand AI concepts clearly and see how they’re applied in real projects.

    2. Do I need prior AI or coding experience to attend?

    No. The session is designed to be beginner-friendly while still valuable for experienced professionals. Concepts are explained from fundamentals and connected to real-world use cases.

    3. Is this masterclass really free?

    Yes. The masterclass is completely free. You’ll get live expert instruction, practical insights, and learning resources at no cost. The recorded session and resources will be shared with the attendees.

    4. Will this masterclass be practical or mostly theory?

    It’s practical-first. Industry experts explain concepts using real examples, tools, workflows, and implementation approaches, not academic slides.

    5. Will I get recordings or resources after the session?

    Yes. Registered participants receive session resources and, where applicable, access to recordings or follow-up materials shared by the instructor.

    6. Can I ask my own questions during the masterclass?

    Absolutely. Live Q&A is a key part of the session. You can ask questions related to learning AI, career transitions, tools, or real implementation challenges.

    7. How is this different from watching AI videos on YouTube?

    This is a live, structured session led by industry practitioners. You get real-world context, actionable guidance, direct interaction, and clarity, something pre-recorded videos can’t offer.

    8. Will this masterclass help with AI career transitions?

    Yes. The session provides clarity on where AI fits in your role, what skills to focus on next, and how professionals are practically moving into AI-driven roles.