Free Download Comprehensive MLOps Bootcamp from Basics to Advanced tools
Published 3/2024
Created by Data Bootcamp
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 108 Lectures ( 9h 24m ) | Size: 3.85 GB
Advanced MLOps Training: In-Depth Skills with Python, Gradio, SHAP, Pycaret, AutoML, MLFlow, DVC, Azure, Docker and More
What you'll learn:
MLOps fundamentals
MLOps toolbox
Model versioning with MLFlow
Data versioning with DVC
Auto-ML and Low-code MLOps
Model Explainability, Auditability, and Interpretable machine learning
Containerized Machine Learning WorkFlow With Docker
Deploying ML in Production through APIS
Deploying ML in Production through web applications
Requirements:
Python fundamentals
Description:
Welcome to the ultimate learning journey in MLOps - your gateway to mastering Machine Learning Operations with a focus on real-world application and advanced technologies. Our course is more than just an educational experience; it's a transformational journey into the world of MLOps.With a staggering 85% of Machine Learning projects failing to reach production, the need for skilled MLOps professionals is soaring. The MLOps market, valued at $23.2 billion in 2019, is expected to skyrocket to $126 billion by 2025. This course is your ticket to seizing these burgeoning opportunities.Our comprehensive curriculum is meticulously designed to cover every aspect of MLOps. You'll dive deep into model development, versioning, registration, and performance monitoring. Learn the ins and outs of CI/CD, cloud deployment, model serving, API integration, and web application development to seamlessly transition models into production.We don't just teach; we mentor. Our course provides clear, professional guidance every step of the way, ensuring a learning experience that's as informative as it is engaging. We offer a blend of visual training, hands-on exercises, real-world labs, and downloadable study guides, making this the only course you'll ever need to master MLOps from start to finish.Here's what you'll gain from our course:Robust MLOps Foundation: Understand the core principles of MLOps, the challenges in traditional ML model management, and how MLOps offers effective solutions.Advanced Tool Mastery: Learn to implement end-to-end projects with cutting-edge MLOps tools.Model Versioning with MLFlow: Master model versioning and registration using MLFlow, an industry-standard platform for managing the ML lifecycle.Auto-ML and Low-code MLOps: Discover the power of automating ML model development using Auto-Ml and low-code libraries like Pycaret.Explainability and Auditability: Delve into model interpretability, explainability, auditability, and data drift management using SHAP and Evidently.Containerized ML Workflow with Docker: Learn to use Docker for efficient packaging and distribution of your ML applications.Deploying ML in Production: Master model deployment through API development with FastAPI and Flask, and learn cloud deployment on Azure.Web Application Development: Develop web applications with embedded ML models using Gradio, Flask, and HTML, and deploy them on Azure.Azure Cloud Mastery: Train, deploy, and consume models in Azure Cloud, gaining hands-on cloud computing experience.Enroll today and get lifetime access to:- An extensive MLOps Training Guide (PDF e-book).- Downloadable resources including code files and tools.- Real-world lab experiences and practical exercises.- Interactive quizzes to test your knowledge.- Exclusive cheat sheets and additional learning materials.- One-on-one expert support.- A dedicated course Q&A forum.- A risk-free 30-day money-back guarantee.Are you ready to elevate your MLOps skills, expand your career opportunities, and become a sought-after professional in the data science field? Join us now and be part of a community that's shaping the future of Machine Learning Operations!
Who this course is for:
Data Science Professionals and ML Engineers Seeking Expertise in MLOps
Aspiring MLOps Specialists and Experienced Machine Learning Practitioners
MLOps Enthusiasts and Advanced Data Scientists in Machine Learning
Professionals in Machine Learning seeking to specialize in model production deployment.
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