Advance your Azure expertise with 3 curated programs covering applied methodologies, analytics, and automation.
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Build a competitive edge with structured learning paths and real implementation support tailored to Azure adoption.
Develop job-ready Azure capabilities using real datasets and guided assignments.
Align Azure proficiency with organizational goals and measurable performance improvements.
Train with industry specialists delivering personalized feedback and implementation support.
Explore instructor-led and hybrid programs aligned to practical Azure use cases across industries.
Showing 1-3 of 3 courses

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
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

Training 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 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.
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.
Expand your learning path with complementary software capabilities.
1+ specialized courses ready to deliver.
1+ specialized courses ready to deliver.
1+ specialized courses ready to deliver.
1+ specialized courses ready to deliver.
1+ specialized courses ready to deliver.
3+ specialized courses ready to deliver.
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