The Data Engineering with Analytics & Visualization course is a 40-hour intensive training program designed to help professionals master the complete data lifecycle — from data ingestion and transformation to analysis and visualization. This course bridges the gap between raw data handling and actionable business insights, equipping learners with both technical and analytical expertise. Participants will gain hands-on experience in building end-to-end data pipelines, integrating diverse data sources, performing transformations, and implementing analytics models. The program also emphasizes visualization best practices, teaching learners how to present insights effectively using modern Business Intelligence (BI) tools such as Power BI, Tableau, or Looker. By the end of the course, learners will be able to design robust, scalable data workflows, perform data-driven analysis, and create dynamic dashboards that enable better decision-making across business functions.
The Decision Tree Modeling using R course is a 40-hour advanced training program designed to equip professionals with the skills to build and apply decision tree models using R, while managing cloud-based infrastructure on Microsoft Azure. This program covers the full workflow of decision tree modeling, from data preparation and feature selection to model building, validation, and interpretation. Participants will also gain practical experience in managing Azure resources—including subscriptions, compute, storage, and networking—necessary for running scalable analytical workloads. The course combines statistical modeling with cloud infrastructure management to provide a holistic approach to applied analytics. By completing this course, learners will be able to develop decision tree models and deploy them effectively in cloud environments, enabling data-driven decision-making in real-world business scenarios.
Develop AI Solutions in Azure is a 24–32 hour hands-on training program designed to help professionals build, scale, and deploy AI-driven applications using the powerful Azure ecosystem. This course takes you through the end-to-end AI development workflow—leveraging Azure Cognitive Services, Azure Machine Learning Studio, and Azure’s highly scalable AI infrastructure. Participants will learn how to create intelligent solutions using pre-built AI models, build and train custom machine learning pipelines, manage datasets securely, optimize deployments, and operationalize AI workloads. Whether you’re building intelligent apps, automating workflows, or integrating AI into enterprise systems, this course gives you the skills and confidence to deliver AI solutions using Microsoft Azure’s world-class tools and services.
The DP-700: Microsoft Fabric Analytics Engineer course is a comprehensive 24–30 hour training program designed for professionals looking to design, implement, and manage modern analytics solutions using Microsoft Fabric. This course focuses on building end-to-end analytics workflows by leveraging Fabric’s unified platform, including data ingestion, transformation, modeling, and visualization. Participants will gain practical experience working with Lakehouses, Warehouses, semantic models, and real-time analytics, while learning how to integrate SQL-based analytics with Fabric’s scalable architecture. The program emphasizes hands-on labs and real-world scenarios to help learners confidently deliver secure, performant, and business-ready analytics solutions. By the end of the course, learners will be equipped with the skills required to work as a Microsoft Fabric Analytics Engineer and prepare for the DP-700 certification exam.
The Dynamics CRM course is a comprehensive 4–5 day training program that equips professionals with in-depth knowledge of Microsoft Dynamics 365 Customer Relationship Management. Covering the Sales, Marketing, and Service modules, this course is designed to give participants hands-on exposure to managing end-to-end business processes within the Dynamics CRM environment. You will learn how to configure and use dashboards, workflows, and analytics, and gain practical insight into Power Platform integration (Power Automate, Power Apps, Power BI) to streamline operations and enhance customer engagement. By the end of this course, you’ll be equipped to tailor CRM solutions that align with organizational goals, improve customer relationships, and support data-driven decision-making.
