Cloud Administration

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.

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.

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.

Grow with Google

In this course, you will explore how Google Cloud applies responsible AI principles, learn best practices, and understand the lessons learned to create your own responsible AI framework. The course focuses on the operational aspects and application of AI principles, providing a comprehensive understanding of responsible AI implementation.

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.

IBM Training

In this course, you will gain a basic understanding of IBM Z APM Connect, exploring its features and components. Designed for IT professionals, system administrators, and technical support staff, this course will equip you with the necessary skills to improve observability and AIOps in your organization. Enroll now to advance your career and stay ahead in the field of IT management.

Grow with Google

In this course, you will delve into the intricacies of building production-ready machine learning systems. Learn about static and dynamic training and inference, distributed TensorFlow, and TPU usage. Gain insights into model dependency management and exporting models for portability, equipping you with the skills to advance your career in cloud and AI technologies.

Grow with Google

In this course, you will learn to recognize the data-to-AI technologies and tools offered by Google Cloud. You will create generative AI projects using Gemini's multimodal and efficient instructions and model adjustments. Explore various options for developing an AI project on Google Cloud and create an end-to-end ML model using Vertex AI. This course is designed to boost your cloud career by showcasing the skills you develop.

IBM Training

In this course, you will explore various cloud options and learn how to design and implement cloud architectures using IBM Cloud services. The course covers essential topics such as AI capabilities and cloud technology, preparing you for the IBM Cloud Professional Architect certification. By the end of the course, you will have a solid understanding of cloud architecture and the skills to advance your career in cloud technology.

Grow with Google

In this comprehensive course, participants will delve into the intricacies of model evaluation, a critical discipline for ensuring AI systems deliver reliable and accurate results. The course emphasizes the unique challenges of generative AI models and provides strategies to effectively address them. Using Google Cloud's Vertex AI platform, learners will master the implementation of solid evaluation processes for model selection, optimization, and continuous monitoring. By completing this course, participants will gain a badge to showcase their cloud skills and advance their careers.

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 explore the different types of Vertex AI Notebooks and their features. You will learn how to create and manage these notebooks, which are essential for data preparation, model deployment, and monitoring. By completing this course, you will earn a badge that highlights your cloud skills, helping you advance your career.

Grow with Google

In this course, you will gain foundational knowledge in implementing generative AI and experience in instruction engineering with Gemini. Explore multimodal functions and apply these skills in real-world marketing situations. Completing the course and the final challenge lab will earn you a shareable digital badge, demonstrating your proficiency in Google Cloud's AI products and services.

IBM Training

In this comprehensive course, you will explore the intricacies of IBM LinuxONE, focusing on its architecture, networking, and storage capabilities. Learn how to optimize your applications with advanced AI, security, and cloud features, ensuring they perform at their best. This course is designed for IT professionals, system administrators, and cloud engineers aiming to advance their careers by mastering IBM LinuxONE.

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.