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Fabric Data Engineering Mastery: Building Scalable, Intelligent Data Workflows

This advanced custom training, prepares learners to design, implement, and manage data solutions using Microsoft Fabric. Key concepts include data ingestion, transformation, and modeling with tools like Dataflows Gen2, Lakehouses, and Notebooks. You'll also explore data integration, pipeline orchestration, and performance optimization across Fabric’s unified analytics platform, gaining hands-on experience with Spark, SQL, and Power BI for end-to-end data engineering workflows with production-grade workflows, bridging the gap between data engineering and AI-driven decision-making.

Fabric Data Analytics Engineer Mastery: Designing Scalable, Insight-Driven Solutions with Microsoft Fabric

This advanced custom training, prepares learners to build enterprise-grade analytical solutions using Microsoft Fabric. Key concepts include semantic modeling, data visualization, and report creation with Power BI, Direct Lake mode, and DAX. The course also introduces Spark-based visualizations using libraries like Matplotlib, Seaborn, and Pyplot, supporting rich, interactive analytics. Learners will develop skills in performance tuning, governance, and collaboration across Fabric’s unified analytics platform.

Azure AI Engineer Mastery: Designing Intelligent Applications with Azure AI Services

This advanced custom training, prepares learners to design, build, and integrate AI solutions using Azure AI services. Key concepts include natural language processing, computer vision, speech recognition, and knowledge mining, with hands-on experience using tools like Azure OpenAI, Cognitive Services, and Bot Framework Composer. Learners will also explore responsible AI, security, and deployment strategies, enabling the creation of enterprise-grade intelligent applications across diverse platforms.

Azure Data Scientist Mastery: Building Intelligent Models and Scalable ML Workflows in the Cloud

This advanced custom training, trains learners to build, deploy, and manage machine learning solutions using Azure Machine Learning. Key concepts include data preparation, feature engineering, model training, and evaluation using tools like Python, Scikit-learn, and TensorFlow. Learners will also explore automated ML, responsible AI, and model deployment in production environments, gaining hands-on experience with Spark-based notebooks and visualization libraries such as Matplotlib, Seaborn, and Pyplot to support enterprise-grade data science workflows.

Scalable Analytics with Power BI: From Ingestion to Modeling to Insight Activation

This advanced custom training, trains learners to deliver actionable insights through data visualization and analysis using Power BI. Key concepts include data preparation, modeling, and report creation, with a strong focus on DAX, Power Query, and interactive dashboards. Learners will also explore data & AI-Driven storytelling, row-level security (RLS), sensitivity labels, dataflows, and scheduled refresh with gateways., performance optimization, and collaboration within the Power BI service to support enterprise-grade decision-making.

Azure SQL Database Administrator Mastery: Securing, Optimizing, and Scaling Cloud Data Platforms

This advanced custom training, trains learners to manage and optimize modern database solutions in Microsoft Azure. Key concepts include deployment, configuration, and monitoring of relational databases, with a focus on security, high availability, and performance tuning. Learners will work with tools like Azure SQL, SQL Server, and Azure Monitor, gaining hands-on experience in backup strategies, disaster recovery, and automated maintenance to support enterprise-grade data environments.

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