Cloud computing is transforming how businesses deploy, manage, and scale infrastructure. As a Cloud Infrastructure and DevOps Engineer, you’ll gain expertise in multi-cloud environments, automating workflows, and optimizing systems across AWS, Azure, and Google Cloud.
Aligned to Datastat professional growth pathways.
Competencies required to succeed in this pathway.
Instructor-led programmes curated for this career.
Flexible training options across global cohorts.
Master these competencies to excel in the Cloud Infrastructure and DevOps Engineer pathway and unlock advanced responsibilities within your organisation.
Combine mentorship, project practice, and certification into one integrated programme tailored to your talent pipeline needs.
Courses for this capability will be scheduled on request.
No scheduled courses found for this skill at the moment. Reach out to schedule a dedicated session.
Request custom training5 aligned courses ready for scheduling.
AI-Ready Data Architecture Training Course is designed to equip professionals with the knowledge and practical skills required to design, implement, and manage modern data ecosystems that support Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and advanced analytics.
Cloud Adoption in the Public Sector Training Course focuses on equipping participants with the knowledge, frameworks, and practical skills needed to plan, implement, and manage cloud solutions in public sector environments, emphasizing security, governance, and compliance.
Cloud-Native Data Engineering with AWS Training Course provides comprehensive, practical knowledge and technical expertise in designing, developing, deploying, and managing modern cloud-native data engineering solutions using Amazon Web Services (AWS).
Enterprise Data Platforms on AWS Training Course is designed to equip professionals with advanced knowledge and practical skills for designing, developing, deploying, and managing scalable enterprise data platforms using Amazon Web Services (AWS).
Courses for this capability will be scheduled on request.
No scheduled courses found for this skill at the moment. Reach out to schedule a dedicated session.
Request custom trainingCourses for this capability will be scheduled on request.
No scheduled courses found for this skill at the moment. Reach out to schedule a dedicated session.
Request custom training3 aligned courses ready for scheduling.
Training Course on Cloud Artificial Intelligence Platforms (AWS, Azure, GCP) provides a deep dive into the leading cloud AI ecosystems Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) ? equipping participants with the essential knowledge and practical skills to leverage their cutting-edge AI services
Courses for this capability will be scheduled on request.
No scheduled courses found for this skill at the moment. Reach out to schedule a dedicated session.
Request custom training15 aligned courses ready for scheduling.
Advanced Azure Cloud Data Architecture Training Course provides comprehensive, practical knowledge and advanced technical competencies in designing, implementing, managing, and optimizing enterprise-grade data architectures using Microsoft Azure cloud technologies.
Courses for this capability will be scheduled on request.
No scheduled courses found for this skill at the moment. Reach out to schedule a dedicated session.
Request custom trainingTraining Course on Cloud Data Platforms for Data Scientists (Unified Course) is meticulously designed to bridge the gap between theoretical knowledge and practical application, focusing on real-world case studies and hands-on labs
Training Course on Cost Optimization in MLOps: Managing cloud infrastructure and compute costs for ML workloads delves deep into the intersection of MLOps best practices and cloud financial management. Participants will gain actionable insights into identifying cost inefficiencies, implementing governance policies, and adopting a FinOps for ML mindset.
AI-Ready Data Architecture Training Course is designed to equip professionals with the knowledge and practical skills required to design, implement, and manage modern data ecosystems that support Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and advanced analytics.
Cloud Adoption in the Public Sector Training Course focuses on equipping participants with the knowledge, frameworks, and practical skills needed to plan, implement, and manage cloud solutions in public sector environments, emphasizing security, governance, and compliance.
Cloud Technology in Capital Markets Training Course emphasizes practical applications, hands-on learning, and industry-specific case studies.