Join Sign in

Kartik Chandra Jena

Member since 2019

Diamond League

10785 points
AWS EC2 to Compute Engine Earned مارس 7, 2024 EST
Elastic Cloud Infrastructure: Scaling and Automation Earned مارس 1, 2024 EST
Attention Mechanism Earned مارس 1, 2024 EST
Introduction to Image Generation Earned فبراير 29, 2024 EST
Google Backup and Disaster Recovery Earned فبراير 29, 2024 EST
Responsible AI: Applying AI Principles with Google Cloud Earned فبراير 19, 2024 EST
Generative AI Fundamentals Earned فبراير 19, 2024 EST
Introduction to Responsible AI Earned فبراير 19, 2024 EST
Introduction to Large Language Models Earned فبراير 16, 2024 EST
Introduction to Generative AI Earned فبراير 15, 2024 EST
Develop your Google Cloud Network Earned فبراير 15, 2021 EST

Migration from AWS EC2 to Google Cloud Compute Engine using Migrate to Virtual Machines (v5) using demo VM(s). It provides a proof-of-concept that walks you through the process of replicating a VM to doing test cutover and final cutover of the VM.

Learn more

This course has been updated, please enroll in the new Elastic Google Cloud Infrastructure: Scaling and Automation.

Learn more

This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence. You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering. This course is estimated to take approximately 45 minutes to complete.

Learn more

This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.

Learn more

This workload aims to upskill Google Cloud partners to deploy and manage Google Backup and Disaster Recovery (BDR). The following will be addressed: the core components and business value of Google BDR, the prerequisites before installing Google BDR, the initial deployment of Google BDR, creating and configuring components of a Backup Plan, the components of a Backup Plan, discovering VMware and Compute Engine VMs, and protecting, backing up, and restoring VMs.

Learn more

As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you. In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.

Learn more

Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI. A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.

Learn more

This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.

Learn more

This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.

Learn more

This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.

Learn more

Earn a skill badge by completing the Develop your Google Cloud Network course, where you learn multiple ways to deploy and monitor applications including how to: explore IAM rols and add/remove project access, create VPC networks, deploy and monitor Compute Engine VMs, write SQL queries, deploy and monitor VMs in Compute Engine, and deploy applications using Kubernetes with multiple deployment approaches. A skill badge is an exclusivedigital badge issued by Google Cloud in recognition of your proficiency with Google Cloud products and services and tests your ability to apply your knowledge in an interactive hands-on environment. Complete this skill badge, and the final assessment challenge lab, to receive a skill badge that you can share with your network.

Learn more