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MLOps Course in Hyderabad -MLOps Training Online

Visualpath offers a detailed MLOps Course in Hyderabad, conducted by skilled trainers with real-world expertise. Our MLOps Training Course Program is available globally, reaching learners in the USA, UK, Canada, Dubai, and Australia. We provide extensive training materials, expert interview guidance, and hands-on project exposure to build your practical knowledge. Contact us today at 91-7032290546<br>Visit https://www.visualpath.in/mlops-online-training-course.html <br>WhatsApp: https://wa.me/c/917032290546<br>Visit Blog: https://visualpathblogs.com/category/mlops/<br>

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MLOps Course in Hyderabad -MLOps Training Online

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  1. AI AND MACHINE LEARNING Overview for Beginners www.Visualpath.in

  2. WHAT IS MACHINE LEARNING OPERATIONS? MLOps stands for Machine Learning Operations. It’s a blend of Machine Learning (ML) and DevOps, focusing on building, deploying, automating, and managing machine learning models in real-world environments. In simple terms, MLOps helps take an ML model developed on a data scientist’s laptop and make it work efficiently, securely, and continuously for thousands or millions of users. Just like software engineers use DevOps to deploy apps, data teams use MLOps to deploy AI models.

  3. INTRODUCTION TO MLOPS • When you build a machine learning model in a notebook, that’s great. But when companies want to use it in a product, it needs to be: • Scalable (it works for many users) • Fast and reliable • Easy to monitor and update • That’s where MLOps comes in — it makes machine learning usable in the real world. • Even as a beginner, if you understand Python and basic ML, MLOps is the next smart step to grow your career. www.Visualpath.in

  4. WHAT MAKES MLOPS SO EXCITING? 01 MLOps is the future of AI deployment Without MLOps, most machine learning models would never leave the lab. 02 Every tech giant is investing in MLOps From Netflix’s recommendation system to Tesla’s self-driving models, MLOps is what keeps them running smoothly. 03 It’s the most in-demand AI skill Companies want people who can take a trained model and deploy it with automation, reliability, and monitoring. www.Visualpath.in

  5. WHAT DOES MLOPS INVOLVE? • Model Training– Using data to teach the model • Model Testing – Making sure the model gives accurate predictions • Model Deployment– Putting the model into an application (like a web app or mobile app) • Automation – Creating ML pipelines so everything runs automatically • Monitoring – Tracking how well the model performs in real-time • Versioning – Keeping track of code, data, and model changes MLOps ensures that the model runs smoothly, updates regularly, and performs well, just like an app on your phone. www.Visualpath.in

  6. REAL-LIFE EXAMPLES OF MLOPS IN ACTION uses MLOps to continuously update music recommendations based on your listening habits. SPOTIFY applies MLOps pipelines to filter out inappropriate content using AI models. YOUTUBE like Amazon retrain ML models every day using real-time MLOps workflows to predict what you’ll buy next. E-COMMERCE APPS Use MLOps to detect diseases from medical images, keeping accuracy high through model monitoring. HEALTHCARE SYSTEMS

  7. KEY SKILLS FOR MLOPS BEGINNERS Start with basics, build projects, and gradually learn deployment, automation, and monitoring. • Python programming • Basic machine learning concepts (like regression, classification) • Understanding of how APIs work • How to use Git and GitHub • Familiarity with Docker (for packaging models) • Working with cloud platforms like AWS, GCP, or Azure • Using tools like MLflow or DVC for model tracking • Learning how to deploy and monitor models in real-time www.Visualpath.in

  8. TOP COMPANIES HIRING IN MLOPS These companies need MLOps engineers to manage the deployment and performance of AI models used in business tools, apps, and services. 01 02 Google (Vertex AI, Cloud AI Teams) Amazon (AWS SageMaker Team) 03 04 Meta (AI Infrastructure Team) Microsoft (Azure ML) 05 06 IBM NVIDIA (AI Engineering Roles) 07 08 TCS, Infosys, Wipro, HCL Accenture, Cognizant, Capgemini 10 09 Product companies like Zoho Startups like Hugging Face, Weights

  9. TIPS FOR STUDENTS TO GET STARTED IN MLOPS ✅ Learn Python and basic ML first (via platforms like Coursera, YouTube, or Kaggle) ✅ Deploy your first model using Flask or Streamlit ✅ Try MLflow to track experiments and models ✅ Learn how to use GitHub to manage your project versions ✅ Explore cloud services (AWS, GCP, Azure) using free student credits ✅ Work on 1–2 small projects with model deployment and monitoring ✅ Join MLOps communities on Discord, GitHub, or Reddit ✅ Follow real-world MLOps tutorials and keep practising www.Visualpath.in

  10. THANK YOU! Join Visualpath’s online course and get trained by real-time experts. FREE LIVE DEMO 📞 +91 7032290546 🌐 www.visualpath.in

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