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DevOps engineer to MLOps Engineer – The Ultimate Roadmap

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Register for Masterclass

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    What You Will Learn

    This roadmap focuses on practical knowledge and skill gaps you need to bridge to become a proficient MLOps Engineer:

    • Understanding the MLOps Landscape: Clearly differentiate between traditional DevOps and the unique challenges posed by MLOps (e.g., data drift, model decay).
    • The MLOps Toolchain: Master the specialized tools required for ML projects, including DVC (Data Version Control), MLflow (Experiment Tracking), and orchestration platforms like Kubeflow or Sagemaker.
    • Building ML CI/CD Pipelines: Learn how to create end-to-end automated pipelines that trigger retraining, testing, and deployment based on data or code changes.
    • Model Monitoring and Observability: Implement effective strategies for real-time monitoring of model performance and data quality in production environments.
    • Reproducibility and Governance: Establish practices for ensuring ML experiment reproducibility and implementing model versioning and governance for regulatory compliance.

    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.