Upcoming Webinars

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SAP HCM (Human Capital Management) helps manage all HR-related functions such as personnel administration, organizational management, time management, and payroll. When executing a project in SAP HCM.

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In the webinar "Cybersecurity Trends: What to Expect in 2025," we can explore pivotal topics such as the increasing role of AI and machine learning in both cyber defense and cyberattacks, the adoption and challenges of Zero Trust Architecture (ZTA), and the looming risks posed by computing advancements. Highlighting the evolving threats in IoT and 5G ecosystems as more devices connect to vulnerable networks, and discuss the rise of sophisticated ransomware tactics and supply chain attacks. Additionally, covering how regulatory changes and compliance frameworks are shaping global cybersecurity standards, and offer insights into best practices for organizations to prepare for these trends, including enhancing incident response, upskilling teams, and investing in cutting-edge security tools. This webinar will provide a forward-looking perspective to help businesses stay ahead in the cybersecurity landscape

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In this session, we explored how GitHub Copilot transforms the way developers build software. We saw how Copilot’s AI-powered suggestions help write cleaner code faster, understand complex logic, and fix issues with natural language guidance. Using Copilot Chat, developers can quickly learn a new project, generate documentation, create unit tests, and refactor existing code with ease. We also covered how Copilot enhances code reviews, produces pull request descriptions, and supports work across multiple languages, frameworks, and platforms. Overall, GitHub Copilot acts as a true AI engineering partner—boosting productivity, reducing repetitive effort, improving code quality, and accelerating the entire development lifecycle.

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Step into the world of business analysis with this engaging 1-hour webinar that introduces you to the BCS Foundation Certificate—your first milestone in a professional BA career. Whether you're exploring a career change, working in projects, or looking to formalize your analytical skills, this session demystifies key concepts like business change, stakeholder analysis, and requirements engineering. Discover how certified Business Analysts create value by bridging the gap between business needs and IT solutions.

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Step into the future of workplace productivity with Microsoft 365 Copilot — your AI-powered assistant integrated seamlessly into Word, Excel, PowerPoint, Outlook, and more. This webinar explores how Copilot transforms everyday work by combining the power of large language models (LLMs) with your organizational data in the Microsoft 365 ecosystem.

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In this webinar we will understand 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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This session introduces participants to Microsoft Sentinel, Microsoft’s cloud-native Security Information and Event Management (SIEM) solution. Learn how to plan and set up a Sentinel workspace effectively and understand how data connectors are used to collect and integrate security data from various sources for monitoring, analysis, and threat detection.

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In webinar the topic of discussion will be SD-Access and DNA by cisco.Introduction to SD-Access and Introduction to DNA center. How DNA will help to implement intent based networking.

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AI is transforming how organizations interact with customers and Microsoft Copilot is at the heart of this change. In this session, we’ll explore how Copilot in Dynamics 365 empowers sales, service, and marketing teams to work smarter, faster, and with greater impact. Copilot isn’t just about automation — it’s about augmenting human potential, freeing teams from repetitive tasks so they can focus on building stronger customer relationships.

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

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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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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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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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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.