Upcoming Webinars

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In this webinar we will understand how to manage your cloud and IT resources while ensuring compliance with business policies using VMware Aria Automation.

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In this session, we’ll unravel the critical building blocks of SAP SuccessFactors Employee Central: Foundation Objects and MDF Objects. You'll gain a clear understanding of how foundational data shapes organizational structure and how MDF enables flexible, scalable configurations to meet evolving business needs. Whether you're an implementation consultant, HRIS analyst, or system admin, this webinar will equip you with the insights and practical tips to confidently manage and extend EC with best-in-class practices

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Oracle APEX is a low-code platform that enables rapid development of scalable, secure web applications integrated with Oracle Database. It offers tools for building forms, reports, dashboards, and RESTful services with minimal coding. The Enterprise Learning Series (ELS) provides comprehensive training modules on APEX, covering key areas such as data modeling, UI design, and deployment. Oracle APEX is widely used in enterprises for data-driven apps and dashboards. Certification in Oracle APEX opens career opportunities in various industries, with roles like APEX Developer and Architect.

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Understanding the Customer Sucess Manager Role : CSMs responsiblities for ensuring customers successfully adopt the product or service

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Unlock the full potential of Power BI and Microsoft Fabric in delivering unified, real-time analytics. This session demonstrates how to connect, model, and visualize data using DirectLake, optimize performance, and implement robust model security — empowering organizations to build scalable, governed, and insight-driven analytics solutions from data ingestion to executive dashboards

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Discover how Microsoft 365 Copilot redefines productivity and collaboration across its core apps. This webinar takes you on a journey from understanding the foundational capabilities of Copilot to exploring practical applications in Word, Excel, Outlook, and PowerPoint. Learn how to optimize and extend Copilot's features to meet your organization's unique needs and embrace a future of intelligent work automation.

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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.

Webinar Summary:

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.

Webinar Summary:

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.

Webinar Summary:

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.