A SysOps Administrator manages, deploys, and optimizes Alibaba Cloud infrastructure to ensure performance, security, and cost-efficiency. This role involves implementing observability, automating processes for scalability and reliability, managing user permissions to protect resources, and applying cost optimization strategies to control expenses.
A Generative AI Engineer is responsible for understanding generative AI concepts and Alibaba Cloud technologies that can be used to deploy such applications. This role focuses on identifying and describing appropriate generative AI services and solutions, playing a key part in the organization’s exploration of AI capabilities.
A Cloud Security Engineer is responsible for securing cloud workloads on Alibaba Cloud by implementing and managing robust security policies, practices, and technologies. This role emphasizes safeguarding applications and data from potential threats and vulnerabilities. The Cloud Security Engineer works closely with other roles to enhance the overall security posture.
A Cloud Engineer is responsible for understanding Alibaba Cloud services to create, configure, and manage cloud resources. This foundational role is essential for advancing to specialized positions and plays a key part in supporting cloud operations within an organization through effective resource management and collaboration.
A Cloud Architect is responsible for designing and implementing scalable and resilient solutions on Alibaba Cloud. This advanced role requires deep technical knowledge of cloud services and networking best practices, enabling the architect to create effective solutions tailored to meet complex organizational needs.
AWS Certified Machine Learning Engineer – Associate validates technical ability in implementing ML workloads in production and operationalizing them. Boost your career profile and credibility, and position yourself for in-demand machine learning job roles.
The AWS AI Practitioner course provides a comprehensive understanding of AI/ML concepts and their practical applications on AWS.
Based on Huawei Cloud’s service practices for massive customers, this course presents the theoretical knowledge of cloud architecture design and develops trainees’ hands-on practice capabilities.
This course is designed to introduce generative AI to software developers interested in leveraging large language models without fine-tuning. The course provides an overview of generative AI, planning a generative AI project, getting started with Amazon Bedrock, the foundations of prompt engineering, and the architecture patterns to build generative AI applications using Amazon Bedrock and LangChain.
Discover how Microsoft Copilot for Microsoft 365 elevates workplace productivity and innovation. This experience, tailored for the modern business leader, provides insights on crafting contextual prompts for Copilot and includes engaging use case exercises that showcase seamless integration into daily workflows.
Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.
This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform.
