Upcoming Webinars

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GitHub Copilot has evolved from a code completion tool into a powerful AI-driven development partner. In this webinar, we will explore advanced GitHub Copilot features that help developers write better code, review pull requests intelligently, and Create Unit test with confidence. The session goes beyond the basics to demonstrate how Copilot understands entire codebases, assists in AI-powered pull request reviews, and integrates with real systems using the MCP Server. You will see live demonstrations of generating meaningful PR descriptions, improving code quality through AI suggestions, and creating high-quality unit tests that cover edge cases and reduce manual effort.

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In this webinar, you learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support

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Data Pipelines vs Dataflows Gen2 in Microsoft Fabric clarifies the strategic separation between orchestration and data transformation. The session helps architects and engineers identify the right tool for the right responsibility, avoid orchestration bottlenecks, and design modular, reusable, and enterprise-ready ingestion frameworks.

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The webinar “Introduction to Generative AI for Business and Technical Decision Makers” provides a foundational understanding of how Generative AI works, its business value, and the strategic considerations required for successful adoption. It explains core concepts such as large language models (LLMs), embeddings, prompt engineering, and responsible AI. The session highlights real-world use cases across industries, showcases architectural patterns for integrating GenAI into applications, and outlines the organizational readiness needed—including data, governance, security, and change management. The goal is to empower leaders to make informed decisions on where and how to leverage GenAI to drive innovation and measurable business impact.

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You’ll learn how to create and optimize prompts for a variety of generative AI models. First, we’ll cover the basics of foundation models. We’ll go into a little more detail on a subset of foundation models called large language models. Then, we cover the basic concepts of prompt engineering, such as the different elements of a prompt and some general best practices for using prompts effectively. Next, we dive into examples of basic prompt techniques including zero-shot, few-shot, and chain-of-thought prompting. In these sections, you will learn principles, techniques, and best practices for designing effective prompts.

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This webinar explores advanced analytics in Power BI, showcasing Power BI’s built-in forecasting capabilities, integratingPython scripts for deeper insights, and usingscatter charts to detect outliers and performing cluster analysis. It highlights hybrid approaches that combine Power BI’s interactive visuals with data science techniques to deliver scalable, enterprise-ready insights.

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Learn about Microsoft 365 Copilot Chat, a tool that leverages generative AI to enhance productivity and streamline workflows.

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AWS’s Machine Learning Basics webinar provides an overview of how ML works and how AWS simplifies each stage of the workflow. It introduces key concepts such as data preparation, training, evaluation, and deployment, then maps them to AWS tools. The session highlights AI Services for plug-and-play intelligence and Amazon SageMaker for end-to-end model development, automation, and scalable inference. A brief demo typically shows loading data into S3, training a model in SageMaker, and deploying an endpoint. The webinar closes with guidance on choosing the right service, managing costs, and applying best practices for reliable, production-ready ML systems.

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CI/CD & Git Integration in Microsoft Fabric covers how to implement enterprise-grade DevOps practices by integrating Fabric workspaces with Git and deploying changes safely across environments using parameterized deployment pipelines.

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High Availability & Disaster Recovery in Azure SQL focuses on designing resilient, business-aligned architectures by translating RPO/RTO requirements into practical HA/DR strategies and aligning database recovery plans with downstream analytics platforms.

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The AWS Cloud Essentials session introduced the fundamentals of cloud computing, highlighting benefits like scalability, elasticity, and cost-efficiency through a pay-as-you-go model. It provided an overview of key AWS services such as EC2 for compute, S3 for storage, RDS for databases, and Lambda for serverless functions. The session also explained AWS’s Shared Responsibility Model, basic security practices including IAM and encryption, and tools available for cost management and continuous learning like the AWS Pricing Calculator and Skill Builder.

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The AWS Discovery Day – Data Analytics Fundamentals session is designed for business and technical professionals who want to understand how AWS can help organizations unlock the value of data. The webinar introduces the core concepts of modern data analytics, the AWS services that support the entire analytics lifecycle, and how these services can be applied to improve decision-making, innovation, and business outcomes.

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This training is split up into three modules. Module 1 is an Introduction to Generative AI: The Art of the Possible. In Module 2 we will discuss Planning a Generative AI project. And finally in Module 3 we will discuss Building a Generative AI-ready Organization.

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AWS’s Machine Learning Basics webinar provides an overview of how ML works and how AWS simplifies each stage of the workflow. It introduces key concepts such as data preparation, training, evaluation, and deployment, then maps them to AWS tools. The session highlights AI Services for plug-and-play intelligence and Amazon SageMaker for end-to-end model development, automation, and scalable inference. A brief demo typically shows loading data into S3, training a model in SageMaker, and deploying an endpoint. The webinar closes with guidance on choosing the right service, managing costs, and applying best practices for reliable, production-ready ML systems.

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Discover how to extend Microsoft 365 Copilot with declarative agents in Copilot Studio. Learn what declarative agents are, how to build your first one, and how tools like prompt extensions can personalize and enrich responses. Walk away with practical insights to create flexible, enterprise-ready copilots that amplify productivity across your organization.

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Prompt engineering is a new and important field for optimizing how we apply, develop, and understand language models, especially large models. At its core, prompt engineering is about designing prompts and interactions to expand what language technologies can do, address their weaknesses, and gain insights into their function. Prompt engineering equips us with strategies and techniques for pushing the boundaries of what is possible with language models and their applications.

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In this webinar we will understand how to Create slide presentation from a document , Add speaker notes, Simplify the slide, Create a closing slide, Summarize the data from excel, Show top trends, Explain the data to a manager and Create a simple table summary”

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Overview of Microsoft Defender XDR, outlining its purpose and core capabilities. It explains how Defender XDR delivers integrated protection against sophisticated cyberattacks and highlights key features of the Microsoft Defender portal. The module also covers the integration of Microsoft Defender for Copilot with Defender XDR, showcasing how AI-driven insights enhance security operations.