MLOps with AWS - Bootcamp - Zero to Hero Series

Empower Your MLOps Journey: AWS AI/ML Mastery - From Notebook to Production Operation with Expert Guidance - MLOps 2024
4.40 (965 reviews)
Udemy
platform
English
language
Data Science
category
MLOps with AWS - Bootcamp - Zero to Hero Series
9 194
students
38 hours
content
Feb 2025
last update
$29.99
regular price

Why take this course?

🌟 Embark on an Exciting Learning Adventure with "Practical MLOps for Data Scientists & DevOps Engineers with AWS" 🌟


Welcome to Your MLOps Mastery Quest! 🚀

Are you itching to elevate your expertise in the realm of artificial intelligence and machine learning (AI/ML) or data science? Whether you're a seasoned pro or just starting out, our "MLOps with AWS - Bootcamp - Zero to Hero Series" is tailored for individuals aspiring to master MLOps within the AWS ecosystem. This course goes far beyond the basics, offering a Production Level mindset that's crucial for real-world application of AI/ML technologies.


Course Overview: Navigate the MLOps Terrain with Confidence 🧭

1️⃣ Skill Elevation:

  • Design, deploy, and maintain ML solutions with AWS Cloud.
  • Adopt a Production Level mindset specifically for Machine Learning.

2️⃫ Beyond the Basics:

  • Apply model-training best practices on extensive cloud-based datasets.
  • Demonstrate deployment expertise for consistent functionality.
  • Implement operational best practices to ensure zero downtime.

3️⃣ Structured Learning Path:

  • Follow a logical, structured path with in-depth explanations, hands-on exercises, and relevant demonstrations.
  • Tackle real-world business challenges by implementing scalable solutions on AWS.

Your Course Journey: From Fundamentals to Expertise 🕰️

Section 1: Introducing the AWS MLOps Course and Instructor 🤝

  • Get acquainted with the course objectives and the expert instructor guiding your journey.

Section 2: The Core of MLOps 🏗️

  • Delve into the fundamental concepts of MLOps, understanding its significance and application within AI/ML projects.

Section 3: DevOps for Data Scientists 🔧

  • Explore how DevOps practices can bridge the gap between development and operations in data science.

Section 4: AWS Fundamentals 🌍

  • Familiarize yourself with the AWS platform, providing a solid foundation for mastering MLOps.

Sections 5-16: Deep Dive into MLOps 🌊

  • A comprehensive exploration of critical topics including AWS CodeBuild, AWS CodeDeploy, AWS CodePipeline, Docker Containers, Amazon SageMaker, Feature Engineering, and more!

Course Materials & Resources: At Your Fingertips 📚✨

  • Access all course materials, including source code, directly on GitHub for learning anywhere, anytime.
  • Stay current with the latest advancements in MLOps through updates and resources provided throughout the course.

Why Choose This Course? 🤔

  • Develop a Production Level mindset tailored for AI/ML in conjunction with DevOps practices.
  • Deploy solutions on scalable datasets, moving beyond personal laptop environments.
  • Explore a comprehensive range of AWS services essential for MLOps.
  • Engage with real-world applications and hands-on projects for practical learning.

Your Success in MLOps Awaits 🏆

  • Equip yourself with the latest tools, technologies, and best practices on the AWS platform.
  • Gain the confidence to tackle complex business challenges effectively.
  • Propel your career to new heights by mastering MLOps and becoming an industry leader in AI/ML and DevOps.

Don't Wait Any Longer! 🚀💫

Click the "Enroll Now" button to join the ranks of MLOps experts. Transform your skills, solve real-world problems with cutting-edge solutions, and lead the AI/ML revolution. Your journey towards mastering MLOps on AWS begins now! 🎉


Enroll Today & Unlock Your Potential! 📢

Take the leap into the world of MLOps with our comprehensive course designed to elevate your skills and career to the next level. Enroll now and unlock a universe of opportunities in AI/ML, Data Science, and DevOps. 🌠

Course Gallery

MLOps with AWS - Bootcamp - Zero to Hero Series – Screenshot 1
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4393768
udemy ID
12/11/2021
course created date
22/07/2023
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