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Above is the sample of certificate you get from Coursera:
Hi everyone, Coursera is offering 12 free Courses. These Premium Courses are from Intel, Google Cloud, AWS, Wesleyan University, University of Michigan, John Kopsins and other reputed organisation. This special collection of courses from world-class experts is now free to learners in India. You can Start learning by selecting a course below. Your discount to earn a free certificate will be applied at checkout.
Offer subject to change & valid through June 30, 2021.
Course 1: Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications by Intel: This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO toolkit. Throughout this course, you will be introduced to demos, showcasing the capabilities of this toolkit.
- Foundational knowledge of Intel® Distribution of OpenVINO™ toolkit
- Foundational knowledge of deep learning for computer vision applications
- The phases of the inference flow
- Intel® hardware acceleration and optimization techniques
Course 2: Aruba Networking Basics by Aruba: In Aruba Networking Basics, you will learn what a basic computer network is, compare local and wide area networks, use cases, and implementation types. Communication over these networks relies on protocols. Once you learn about those, you will be well on your way to understanding network communications and well prepared to learn VLANs and how to configure an Aruba OS Switch!
Course 3: Migrating to Google Cloud: This course introduces participants to the strategies to migrate from a source environment to Google Cloud. Participants are introduced to Google Cloud’s fundamental concepts and more in depth topics, like creating virtual machines, configuring networks and managing access and identities. The course then covers the installation and migration process of Migrate for Compute Engine, including special features like test clones and wave migrations.
Course 4: Getting Started with AWS Machine Learning: This course will teach you how to get started with AWS Machine Learning. Key topics include: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each topic consists of several modules deep-diving into variety of ML concepts, AWS services as well as insights from experts to put the concepts into practice.
Course 5: Google Cloud Platform Fundamentals for AWS Professionals: Learning Objectives This course teaches participants the following skills:
● Identify GCP counterparts for Amazon VPC, subnets, routes, NACLs, IGW, Amazon EC2, Amazon EBS, auto-scaling, Elastic Load Balancing, Amazon S3, Amazon Glacier, Amazon RDS, Amazon Redshift, AWS IAM, and more
● Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more
● Manage and monitor applications
● Explain feature and pricing model differences
● Locate documentation and training.
Course 6: Build Your First Android App (Project-Centered Course): In this project-centered course*, you’ll design, build, and distribute your own unique application for the Android mobile platform. We’ll provide you with a set of customizable building blocks that you can assemble to create many different types of apps, and that will help you become familiar with many important specificities of Android development. When you complete the project, in addition to having a personalized app that you can use and share, you’ll have the skills and background you need to move on to more advanced coursework in Android development.
Course 7: Introduction to AWS Identity and Access Management: The goal of this course is to provide you with foundational knowledge and skills that will enable you to grow in your use of both AWS IAM and the rest of the AWS ecosystem. Throughout the course, the focus will be on the base-level knowledge needed for understanding the functionality of IAM, and simple ways to implement its usage. We start by introducing you to some background concepts needed to understand how and why identity and access management are necessary, and then go on to show you the first level of AWS IAM components. Through the rest of the course, you will see deeper dives into those and other concepts. The class closes by providing best practices and troubleshooting tips and tools.
Course 8: Introduction to Cloud Identity: Learning Objectives By the end of this course participants will be able to:
• Establish a Cloud Identity domain for their organization or personal domain.
• Add users in order to practice user lifecycle management.
• Modify user permissions to gain an understanding of core Cloud Identity features.
• Add mobile devices within the Google Mobile Management module.
• Modify mobile management policy sets to gain familiarity with product options.
• Navigate the Reports module, and practice running reports.
• Explore and apply different security protocols to the domain.
Course 9: Introduction to Cloud Identity: Learning Objectives By the end of this course participants will be able to:
• Establish a Cloud Identity domain for their organization or personal domain.
• Add users in order to practice user lifecycle management.
• Modify user permissions to gain an understanding of core Cloud Identity features.
• Add mobile devices within the Google Mobile Management module.
• Modify mobile management policy sets to gain familiarity with product options.
• Navigate the Reports module, and practice running reports.
• Explore and apply different security protocols to the domain.
Course 10: Networking and Security Architecture with VMware NSX: This 8 week online course equips learners with the basics of network virtualization with VMware NSX.
To get the most of this course, you should have familiarity with generic IT concepts of routing, switching, firewalling, disaster recovery, business continuity, cloud and security.
Course 11: Version Control with Git: In this course, you will not learn everything there is to know about Git, but you will build a strong conceptual understanding of the technology, and afterward will be able to confidently dig deeper on any topic that interests you. This course assumes no previous knowledge of Git, but if you do have experience with it, you may find this course to be both useful and challenging. This is especially true if you currently “know just enough Git to be dangerous”.
Course 12: Google Cloud Fundamentals for Azure Professionals: Core Infrastructure: This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.
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