Upcoming Webinars

Webinar Summary:

The webinar provided an in-depth exploration of Outline Agreements in SAP Materials Management (MM), which are long-term procurement contracts between an organization and its vendors. Outline agreements include contracts and scheduling agreements, helping businesses streamline procurement, manage vendor commitments, and ensure material availability over a defined period. The session covered the types, setup, processing, and benefits of outline agreements, demonstrating how SAP MM enables organizations to maintain control over pricing, delivery schedules, and procurement efficiency while reducing manual purchase order creation. Real-world examples and best practices were shared to optimize procurement operations and improve supplier collaboration.

Webinar Summary:

In this webinar we will understand Instance Refresh Overview – Introduction to the purpose and importance of Instance Refresh. Types of Refreshes – Explore configuration-only, config + data, and full refresh options. Important Considerations & Limitations – Key factors and restrictions before requesting a refresh. Pre-requisites – Mandatory checks and actions to complete before initiating a refresh. Supported Modules – Identify which SuccessFactors modules are covered under Instance Refresh.Process Flow – Step-by-step overview of how the refresh is carried out. Post Pre-Checks – Validation steps required immediately after the refresh completes. Error Log Handling – How to download and analyze error logs in case of failure or revert.

Webinar Summary:

Microsoft Azure is a cloud computing platform and service created by Microsoft that provides organizations with a wide range of solutions such as computing power, storage, networking, databases, analytics, artificial intelligence, and security—all delivered over the internet. Instead of investing in and managing physical servers or data centers, businesses can use Azure to build, deploy, and manage applications in a flexible, scalable, and cost-effective way. With its global network of data centers, Azure enables high availability and disaster recovery while ensuring compliance with industry security standards. It supports different models like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), making it suitable for everything from hosting websites and mobile apps to running complex enterprise systems and artificial intelligence solutions.

Webinar Summary:

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.

Webinar Summary:

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.

Webinar Summary:

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.

Webinar Summary:

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

Webinar Summary:

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.

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:

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.

Webinar Summary:

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.

Webinar Summary:

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.