Updated September 2026, 1 week ago
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What is Docker? | What is Docker and How it works? | Docker for Beginners | Edureka
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![Docker and Kubernetes Full Course in 10 hours [2026] | Docker and Kubernetes Explained | Edureka](https://i.ytimg.com/vi/sBBFo2JMpno/mqdefault.jpg "Docker and Kubernetes Full Course in 10 hours [2026] | Docker and Kubernetes Explained | Edureka
๐ฅ๐๐๐ฎ๐ซ๐๐ค๐๐ฌ ๐๐จ๐๐ค๐๐ซ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐จ๐ฎ๐ซ๐ฌ๐ ( ๐๐ฌ๐ ๐๐จ๐๐ ๐๐๐๐๐๐๐๐๐) : https://www.edureka.co/docker-training
๐ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-certification-programs/ms-data-science-pgp-gen-ai-ml-birchwood
This comprehensive Docker and Kubernetes course is designed to equip learners with a strong foundation in containerization and orchestration technologies, essential for modern DevOps and cloud-native development. Starting with the basics, the course introduces Docker, covering core concepts such as images, containers, volumes, networks, and Dockerfiles, along with hands-on practice in building, deploying, and managing containers. It then transitions into advanced Docker topics like Docker Compose, container networking, and image optimization. Building upon this, the course delves into Kubernetes, the industry-leading container orchestration platform, where students will learn about pods, deployments, services, config maps, secrets, and persistent storage. Through real-world examples and interactive labs, learners will gain practical skills in setting up and managing Kubernetes clusters, deploying applications, scaling workloads, implementing rolling updates, and handling service discovery. The course also explores key DevOps practices such as CI/CD integration with Docker and Kubernetes, Helm for application packaging, and monitoring and logging within a Kubernetes environment. By the end of the course, students will be able to confidently build, deploy, and manage containerized applications at scale using Docker and Kubernetes, preparing them for real-world roles in cloud infrastructure, DevOps engineering, and site reliability engineering.
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๐ต DevOps Online Training: http://bit.ly/3VkBRUT
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๐ CEHv12 Online Training: http://bit.ly/3Vhq8Hj
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๐ต DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
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๐ต Data Scientist Masters Program: http://bit.ly/3tUAOiT
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๐ต Python Developer Masters Program: http://bit.ly/3EV6kDv
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๐ต Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
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๐ต Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH
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๐ต Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT
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![AWS DevOps Full Course [ 2026 ] | AWS DevOps Tutorial For Beginners | AWS DevOps Training | Edureka](https://i.ytimg.com/vi/sVyNtR1LUE4/mqdefault.jpg "AWS DevOps Full Course [ 2026 ] | AWS DevOps Tutorial For Beginners | AWS DevOps Training | Edureka
๐ฅAdvanced DevOps Certification Training with GenAI: https://www.edureka.co/devops-certification-training
๐ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-certification-programs/ms-data-science-pgp-gen-ai-ml-birchwood
In this AWS DevOps training video, you will learn everything about AWS and DevOps from basic to advanced levels. This video on AWS DevOps Tutorial For Beginners includes an introduction to DevOps, AWS, why DevOps with AWS, AWS code pipeline, hands-on project, and interview preparation. This is a must-watch session for everyone who wishes to learn AWS DevOps and make a career in the cloud domain.
00:00:00 Introduction
00:01:32 What is Data Engineering?
00:19:30 How to Become a Data Engineer?
00:21:03 Introduction to Big Data
00:53:02 How To Become A Big Data Engineer?
01:07:30 Hadoop Ecosystem
01:25:22 AWS services for data engineering
01:38:27 How to create EC2 Instances in AWS?
02:20:05 Amazon Virtual Private Cloud (VPC)
03:12:19 Amazon CloudWatch
03:41:20 AWS CloudFormation
03:58:24 AWS S3
04:38:04 Amazon Redshift
05:10:37 AWS Kinesis
05:31:32 AWS Lambda
05:38:20 AWS EMR
05:54:17 Getting Started with AWS Glue ETL
06:13:56 Apache Hive
07:14:27 Apache Sqoop Tutorial
07:32:19 AWS Interview Questions and Answers
๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐
๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://edrk.in/DKQQ4Py
๐Feel free to share your comments below.๐
Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.")
![MLOps Full Course [2026] - 12 hour | MLOps for Beginners | What is MLOps? | Edureka Live](https://i.ytimg.com/vi/t6naiMeKuQs/mqdefault.jpg "MLOps Full Course [2026] - 12 hour | MLOps for Beginners | What is MLOps? | Edureka Live
๐ฅPGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executive-programs/pgp-generative-ai-machine-learning-certification-training
๐ฅGenerative AI Course: Masters Program: https://www.edureka.co/masters-program/generative-ai-prompt-engineering-training: https://www.edureka.co/executive-programs/pgp-generative-ai-machine-learning-certification-training
๐ฅ MLOps Certification Course: https://www.edureka.co/mlops-certification-training-course
๐ฅIntegrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-certification-programs/ms-data-science-pgp-gen-ai-ml-birchwood
In this comprehensive course on *What is MLOps*, participants will gain a strong foundational understanding of the principles and practices that bridge the gap between machine learning development and real-world operations. The course begins with an in-depth overview of MLOps, emphasizing its critical role in streamlining collaboration between data science and IT operations to enable the seamless deployment of machine learning models at scale. From there, learners will explore the **Key Components of MLOps**, uncovering the essential building blocks such as version control, CI/CD pipelines, model tracking, and reproducibility. The curriculum then delves into the **MLOps Lifecycle**, walking through each stageโfrom data preparation and model training to deployment, monitoring, and continuous improvementโillustrating how to manage ML models effectively in production environments. To empower practical implementation, the course introduces popular **Tools & Frameworks** like MLflow, Kubeflow, TFX, and others that are transforming the automation and scalability of ML workflows. Finally, the course addresses the **Challenges and Real-World Hurdles** in adopting MLOps, offering actionable strategies to overcome issues such as data drift, model degradation, and infrastructure bottlenecks.
00:00:00 Introduction
00:01:44 What is MLOps?
00:13:45 What is Machine learning?
00:30:20 Types of Machine Learning Models
00:37:33 Top Machine Learning Tools & Frameworks
00:47:29 Introduction to TensorFlow
01:11:05 Python Flask Explained
01:44:20 What is Git?
02:38:40 GitHub Basics
03:08:13 What is Jenkins?
04:09:42 What is Docker?
04:49:10 Introduction to Kubernetes
04:59:45 Prometheus Explained
06:06:43 AWS Services
06:39:00 Azure Boards
06:53:39 Azure DevOps Pipeline
07:06:14 Azure DevOps Test Plans
07:31:46 Azure DevOps Artifacts
07:55:40 Azure Machine Learning
08:21:59 AWS Machine Learning
09:02:28 Google Cloud AI Platform Explained
09:18:20 Deploy Machine Learning Model using Amazon SageMaker
09:47:17 Machine Learning Interview Question & Answers
๐ด ๐๐๐๐ซ๐ง ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐๐ก๐ง๐จ๐ฅ๐จ๐ ๐ข๐๐ฌ ๐
๐จ๐ซ ๐
๐ซ๐๐! ๐๐ฎ๐๐ฌ๐๐ซ๐ข๐๐ ๐ญ๐จ ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฎ๐๐ฎ๐๐ ๐๐ก๐๐ง๐ง๐๐ฅ: https://edrk.in/DKQQ4Py
๐Feel free to share your comments below.๐
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐ง๐ฅ๐ข๐ง๐ ๐๐ซ๐๐ข๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐๐ซ๐ญ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง๐ฌ
๐ต DevOps Online Training: http://bit.ly/3VkBRUT
๐ AWS Online Training: http://bit.ly/3ADYwDY
๐ต React Online Training: http://bit.ly/3Vc4yDw
๐ Tableau Online Training: http://bit.ly/3guTe6J
๐ต Power BI Online Training: http://bit.ly/3VntjMY
๐ Selenium Online Training: http://bit.ly/3EVDtis
๐ต PMP Online Training: http://bit.ly/3XugO44
๐ Salesforce Online Training: http://bit.ly/3OsAXDH
๐ต Cybersecurity Online Training: http://bit.ly/3tXgw8t
๐ Java Online Training: http://bit.ly/3tRxghg
๐ต Big Data Online Training: http://bit.ly/3EvUqP5
๐ RPA Online Training: http://bit.ly/3GFHKYB
๐ต Python Online Training: http://bit.ly/3Oubt8M
๐ Azure Online Training: http://bit.ly/3i4P85F
๐ต GCP Online Training: http://bit.ly/3VkCzS3
๐ Microservices Online Training: http://bit.ly/3gxYqqv
๐ต Data Science Online Training: http://bit.ly/3V3nLrc
๐ CEHv12 Online Training: http://bit.ly/3Vhq8Hj
๐ต Angular Online Training: http://bit.ly/3EYcCTe
๐ด ๐๐๐ฎ๐ซ๐๐ค๐ ๐๐จ๐ฅ๐-๐๐๐ฌ๐๐ ๐๐จ๐ฎ๐ซ๐ฌ๐๐ฌ
๐ต DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
๐ Cloud Architect Masters Program: http://bit.ly/3OvueZy
๐ต Data Scientist Masters Program: http://bit.ly/3tUAOiT
๐ Big Data Architect Masters Program: http://bit.ly/3tTWT0V
๐ต Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
๐ Business Intelligence Masters Program: http://bit.ly/3UZPqJz
๐ต Python Developer Masters Program: http://bit.ly/3EV6kDv
๐ RPA Developer Masters Program: http://bit.ly/3OteYfP
๐ต Web Development Masters Program: http://bit.ly/3U9R5va
๐ Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
๐ต Cyber Security Masters Program: http://bit.ly/3U25rNR
๐ Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
๐ต Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
๐ Python Developer Masters Program : https://bit.ly/3EV6kDv
๐ต Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH
Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.")
