Cloud Administration

Nikita NamjoshiDeepLearning.AI

In this course, you will learn to retrieve real-time data on global energy mixes and carbon intensity from the ElectricityMaps API. You'll identify power grids that produce electricity from low-carbon sources and run machine learning training jobs using low-carbon electricity. The course will also cover analyzing the carbon footprint of Google Cloud usage data and using the Google Cloud Carbon Footprint tool. By the end, you'll be equipped to make more sustainable decisions in your development processes.

Pascal JolyMaven

In this course, you will delve into the environmental impact of AI applications and learn how to architect and design sustainable AI solutions. Explore best practices for optimizing AI workloads, reducing energy consumption, and demonstrating ROI to management. Engage with real-life case studies and industry trends to understand how leaders implement sustainable AI practices.

Marcello RestelliCoursera

Dive into the world of artificial intelligence with this beginner-friendly specialization. Through five courses, you'll explore the technical foundations of AI, including machine learning and technologies, as well as ethical and legal considerations. Learn from experts and gain the skills needed to start building your own AI projects. This course is perfect for those looking to understand AI's current landscape and future potential.

Grow with Google

In this course, you will learn the essential MLOps practices for managing machine learning models in production environments using Google Cloud. You will gain practical experience with Vertex AI Feature Store and understand how to implement, test, monitor, and automate AI systems. This course is designed to boost your cloud career by equipping you with the skills to operationalize AI effectively.

Coursera

In this comprehensive guided project, you will learn to create and use a Computer Vision Cognitive Services resource on Microsoft Azure. Through hands-on tasks, you will gain practical experience in executing API calls and understanding the various features of Computer Vision. This project is designed to provide a solid foundation in AI and machine learning solutions within the Azure environment.

Grow with Google

In this course, you will explore the evolution of MLOps and its application in generative AI. You will learn about the MLOps framework for generative AI, understand the unique challenges of generative AI, and discover how Vertex AI strengthens AI teams. This course is designed to boost your cloud career by showcasing the skills you develop.

DeepLearning.AI

In this course, you will learn to retrieve and transform training data for supervised fine-tuning of an LLM, version your data and tuned models to track your tuning experiments, configure an open-source supervised tuning pipeline, and execute that pipeline to train and deploy a tuned LLM. Additionally, you will learn to output and study safety scores to responsibly monitor and filter your LLM application’s behavior. Tools you’ll practice with include BigQuery data warehouse, the open-source Kubeflow Pipelines, and Google Cloud.

Anthropic Academy

This course offers an in-depth exploration of Claude with Google Vertex, providing learners with the skills to effectively utilize AI tools and platforms. Participants will gain practical experience, enabling them to apply AI solutions in real-world scenarios and advance their careers in the tech industry.

Grow with Google

In this comprehensive course, you will delve into the intricacies of feature engineering, focusing on the Vertex AI Feature Store. Learn to identify key data attributes that enhance model performance and gain hands-on experience with tools like BigQuery ML, Keras, and TensorFlow. This course is designed to boost your cloud career by equipping you with the skills to process and explore data attributes effectively.

Microsoft Learn

In this course, you will learn the fundamental concepts of artificial intelligence and explore the services in Microsoft Azure that enable the creation of AI solutions. The course combines instructor-led training with online materials, offering hands-on exercises based on Microsoft Learn modules. By the end of the course, you will have a solid understanding of AI workloads and the ability to identify Azure services to support them.

Grow with Google

In this course, you will explore the world of generative AI applications and learn how to utilize instruction design and retrieval-augmented generation (RAG) to create powerful applications using large language models (LLM) on Google Cloud. You will gain insights into a production-ready architecture for generative AI-based applications and develop a chat app using LLM and RAG. This course is designed to boost your cloud career by showcasing the skills you develop.

IBM Training

Dive deep into the world of AI and analytics with IBM Cloud. This course offers comprehensive insights into AI Ladder, Watson Assistant, Watson Studio, and Watson OpenScale. Designed for data scientists, IT professionals, and business analysts, it provides the tools and knowledge needed to leverage AI for business success.

Coursera

In this course, you will delve into the foundational concepts of machine learning and artificial intelligence, exploring the connections between AI, ML, deep learning, and generative AI. You will learn about key AI terms and gain practical insights into AWS services that utilize AI and ML capabilities. This course is designed to equip you with the knowledge to drive innovation and solve real-world challenges across various industries.

Grow with Google

In this course, you will learn how to effectively prepare data for AI APIs on Google Cloud. The course includes hands-on labs and a final challenge lab to test your skills. By completing the course, you will earn a digital badge that demonstrates your ability to apply your knowledge in practical, interactive environments.

Microsoft Learn

In this course, you will gain a comprehensive understanding of Microsoft 365, its features, and how it differs from Office 365. Explore how Microsoft 365 empowers hybrid and flexible work environments, and learn about Microsoft 365 Copilot and its capabilities. This course is designed to equip you with the knowledge to leverage Microsoft 365 for improved productivity and collaboration in your organization.

Grow with Google

In this course, you will learn how to write and train models locally using Vertex Notebooks, host training code in containers, and manage image datasets for experiment tracking. You will also train a BigQuery ML classifier, activate training jobs using Vertex AI console, and create custom model evaluation components with KFP SDK. By the end of the course, you will be able to deploy trained models for online predictions and gain a digital badge to demonstrate your expertise.