Webinar Overview

Learn how generative AI revolutionizes data exploration, pattern recognition, and advanced analytics.

 

Webinar Agenda:

• Understand how generative AI models enhance data science and analytics
• Explore AI-driven techniques for data augmentation, forecasting, and decision intelligence
• Identify how organizations leverage generative AI for deeper, more dynamic insights

Webinar Overview:

See how AI-powered automation in Power BI accelerates data processing, enhances reporting, and drives actionable insights.

 

Objective of the Webinar:

• Understand how AI automates data workflows and enhances predictive analytics
• Explore Power BI’s AI-driven features, including natural language insights and anomaly detection
• Recognize how businesses are using AI to streamline data-driven decision-making

Webinar Overview:

Discover how Microsoft Fabric integrates AI models for smarter, faster, and more efficient data processing.

 

Webinar Agenda:

• Understand how Microsoft Fabric leverages AI for data transformation and automation
• Explore real-world use cases where AI-driven data models optimize insights
• Identify how enterprises are applying AI to improve data scalability and efficiency

Webinar Overview:

See how Azure AI Studio allows developers to customize and deploy generative AI models for tailored, high-impact solutions.

Webinar Agenda:

• Understand how generative AI models can be fine-tuned for specific applications
• Explore AI-powered content generation, chatbots, and automation use cases
• Recognize how businesses are leveraging AI Studio to deploy scalable AI solutions

Webinar Overview:

Learn how to integrate responsible AI principles into development, ensuring fairness, transparency, and security in AI solutions.

 

Objective of the Webinar:

• Understand ethical considerations and best practices for AI development
• Explore Microsoft’s tools for bias detection, explainability, and compliance
• Identify how responsible AI enhances trust and adoption in enterprise applications

Webinar Overview:

Discover how Azure AI Services enable developers to build intelligent applications with pre-built AI models and cloud-powered capabilities.

 

Objective of the Webinar:

• Understand how Azure AI Services enhance applications with vision, speech, and language AI
• Explore real-world use cases of AI-powered automation in software development
• Identify how businesses integrate AI for smarter, more adaptive applications

Objective

This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform

Agenda:

•  Introducing Google Cloud Platform
•  Getting Started with Google Cloud Platform
•  Virtual Machines in the Cloud
•  Storage in the Cloud
• •  Containers in the Cloud
  •  Applications in the Cloud
  •  Developing, Deploying and Monitoring in the Cloud
  •  Big Data and Machine Learning in the Cloud
  •  Summary and Review

Audience

•  Developers, Architects & System Administrators, who are new to GCP and are interested in understanding what is unique about GCP

Prerequisites

• Basic understanding of what is cloud computing.
• • Some knowledge or experience on AWS or Azure will be helpful

Objective of the Webinar:

In this session, participants will learn how to configure and manage SIEM security operations using Microsoft Sentinel. The session covers essential techniques for monitoring, detecting, and responding to security threats, providing hands-on experience in setting up effective security monitoring.

 

Webinar Agenda:

• Create and manage Microsoft Sentinel workspaces
• Connect Microsoft services to Microsoft Sentinel
• Connect Windows hosts to Microsoft Sentinel
• Threat detection with Microsoft Sentinel analytics
• Automation in Microsoft Sentinel
• Configure SIEM security operations using Microsoft Sentinel

 

Who should attend :
Security Engineers and Security Operations Analysts

 

Prerequisites :

• Fundamental understanding of Microsoft Azure
• Basic understanding of Microsoft Sentinel
• Experience using Kusto Query Language (KQL) in Microsoft Sentinel

Objective

This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform

Agenda:

• Introducing Google Cloud Platform
• Getting Started with Google Cloud Platform
• Virtual Machines in the Cloud
• Storage in the Cloud
  • Containers in the Cloud
  • Applications in the Cloud
  • Developing, Deploying and Monitoring in the Cloud
  • Big Data and Machine Learning in the Cloud
  • Summary and Review

Audience

• Developers, Architects & System Administrators, who are new to GCP and are interested in understanding what is unique about GCP

Prerequisites

• Basic understanding of what is cloud computing.
  • Some knowledge or experience on AWS or Azure will be helpful

Objective of the Webinar:

This session provides an overview of managing identity and access in Microsoft environments. Participants will gain insights into configuring and managing identity solutions, access management, and securing user credentials to ensure a robust identity infrastructure.

 

Webinar Agenda:

• Explore identity in Microsoft Entra ID
• Implement an identity management solution
• Implement an Authentication and Access Management solution
• Implement Access Management for Apps
• Plan and implement an identity governance strategy

 

Who should attend :
Identity and Access Administrators, Security Engineers, System Administrators, Cloud Administrators, IT Managers, Security Consultants

 

Prerequisites :

• Familiarity with Microsoft Azure:
• Experience with Microsoft 365:
• Basic Understanding of Networking
• Familiarity with PowerShell:
• Experience with Identity and Access Management (IAM)

Objective

This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform

Agenda:

•  Introducing Google Cloud Platform
•  Getting Started with Google Cloud Platform
•  Virtual Machines in the Cloud
•  Storage in the Cloud
• •  Containers in the Cloud
  •  Applications in the Cloud
  •  Developing, Deploying and Monitoring in the Cloud
  •  Big Data and Machine Learning in the Cloud
  •  Summary and Review

Audience

•  Developers, Architects & System Administrators, who are new to GCP and are interested in understanding what is unique about GCP

Prerequisites

• Basic understanding of what is cloud computing.
• • Some knowledge or experience on AWS or Azure will be helpful

Objective of the Webinar:
This session is designed to accelerate your Power BI experience with a comprehensive training. In this interactive session, you will learn how to analyze your data in a rich and compelling way. Whether you are evaluating its ability to meet organizational requirements around data visualization and analysis or are looking to learn how it can help you be more efficient and make a greater impact on the work you do every day.

 

Webinar Agenda:

• Introduction to Power BI
• ETL (Extract, Transform and Load) Data to PBI Desktop application
• Data Modelling
• Analyzing data by Understanding and writing DAX functions
• Report building through various visuals
• Publishing Report to cloud
• Building Dashboard in PBI Service

Who Should Attend?

The intended audience for this course is those individuals who develop reports that visualize data from the data platform technologies that exist both in the cloud and on-premises.

 

Prerequisites:

A basic level of familiarity with Microsoft Power BI ETL Operation , Ingesting Data , Modelling , Microsoft Excel, computer technology,  and the Internet is assumed.

Objective

This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform

Agenda:

•  Introducing Google Cloud Platform
•  Getting Started with Google Cloud Platform
•  Virtual Machines in the Cloud
•  Storage in the Cloud
• •  Containers in the Cloud
  •  Applications in the Cloud
  •  Developing, Deploying and Monitoring in the Cloud
  •  Big Data and Machine Learning in the Cloud
  •  Summary and Review

Audience

•  Developers, Architects & System Administrators, who are new to GCP and are interested in understanding what is unique about GCP

Prerequisites

• Basic understanding of what is cloud computing.
• • Some knowledge or experience on AWS or Azure will be helpful

Objective of the Webinar:

This session will guide participants through the process of implementing a modern Lakehouse architecture using Microsoft Fabric. Attendees will explore key features, integration strategies, and best practices to efficiently manage and analyze data in a unified platform.

 

Webinar Agenda:

• Introduction to end-to-end analytics using Microsoft Fabric
• Get started with lakehouses in Microsoft Fabric
• Use Apache Spark in Microsoft Fabric
• Work with Delta Lake tables in Microsoft Fabric
• Ingest Data with Dataflows Gen2 in Microsoft Fabric
• Use Data Factory pipelines in Microsoft Fabric
• Organize a Fabric lakehouse using medallion architecture design

 

Who should attend :
Data Analysts, Data Engineers, and Data Scientists.

 

Prerequisites :
Familiar with basic data concepts and terminology

Objective of the Webinar:

This session guides participants through creating custom copilots using Azure AI Studio. They will explore the tools and techniques to design and deploy AI copilots tailored to their specific business needs, enhancing automation and productivity.

 

Webinar Agenda:

• Introduction to Azure AI Studio
• Explore and deploy models from the model catalog in Azure AI Studio
• Get started with prompt flow to develop language model apps in the Azure AI Studio
• Build a RAG-based copilot solution with your own data using Azure AI Studio
• Integrate a fine-tuned language model with your copilot in the Azure AI Studio
• Evaluate the performance of your custom copilot in the Azure AI Studio
• Responsible generative AI

 

Who should attend :
AI Developers and Data Scientists, Solution Architects, Software Engineers, Technical Decision Makers, AI Enthusiasts.

 

Prerequisites :

Familiar with fundamental AI concepts and services in Azure.

Description

This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

 

Objective:

• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform
• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
• Employ BigQuery and Cloud Datalab to carry out interactive data analysis
• Choose between Cloud SQL, BigTable and Datastore
• Train and use a neural network using TensorFlow
• Choose between different data processing products on the Google Cloud Platform

 

Prerequisites

Participants should have roughly one year of experience with one or more of the following:

• A common query language such as SQL
• Extract, transform, load activities
• Data modeling
• Machine learning and/or statistics
• Programming in Python

Objective of the Webinar:

This session teaches IT Professionals how to manage their Azure subscriptions, secure identities, administer the infrastructure, configure virtual networking, connect Azure and on-premises sites, manage network traffic, implement storage solutions, create and scale virtual machines, implement web apps and containers, back up and share data, and monitor your solution.

 

Webinar Agenda:

• Manage Azure identities and governance
• Implement and manage storage
• Deploy and manage Azure compute resources
• Implement and manage virtual networking
• Monitor and maintain Azure resources

 

Who should attend:
Participants are expected to have expertise in implementing, managing, and monitoring a Microsoft Azure environment within an organization, covering areas such as virtual networks, storage, compute, identity, security, and governance.

 

Prerequisites:
One should have familiarity with operating systems, networking, servers, and virtualization.

Description:

This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

 

Objective

• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform
• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform
• Employ BigQuery and Cloud Datalab to carry out interactive data analysis
• Choose between Cloud SQL, BigTable and Datastore
• Train and use a neural network using TensorFlow
• Choose between different data processing products on the Google Cloud Platform

 

Prerequisites

Participants should have roughly one year of experience with one or more of the following:

• A common query language such as SQL
• Extract, transform, load activities
• Data modeling
• Machine learning and/or statistics
• Programming in Python

Objective of the Webinar:

In this session, you will discover how to construct a natural language processing solution using Azure AI Language in this practical session. In you will be guided through illustration how to unlock insights and innovate with Azure Natural Language Processing Service.

 

Webinar Agenda:

• Introduction of AI and Associated Service
• Deploy a language resource, and use prebuilt models
• Create a custom text classification solution
• Create a custom named entity recognition (NER) solution resources

 

Who should attend:
Participants are expected to have expertise in implementing, managing, and monitoring a Microsoft Azure environment within an organization, covering areas such as virtual networks, storage, compute, identity, security, and governance.

 

Prerequisites:
One should have familiarity with operating systems, networking, servers, and virtualization.

Objective of the Webinar:

Discover how to leverage the power of AI to modernize your applications. In this session, you will learn how to unlock valuable insights and drive innovation using Azure AI Document Intelligence Service. You will gain an understanding of what Azure AI Document Intelligence Service is and how its various features can significantly enhance your business applications and processes.

 

Webinar Agenda:

• Introduction of AI and Associated Service
• Exploring Different aspect of the AI Service
• Provisioning of AI Service
• Integration of AI Service with Application

 

Who should attend:
The intended audience encompasses a wide range of organizations, including banking, finance, insurance companies, government entities, financial institutions, and businesses. This session is particularly suited for professionals seeking a comprehensive understanding of how to leverage the benefits of AI using Microsoft Azure.

 

Prerequisites:
Participants registering for this webinar should have a basic understanding of cloud services. It would also be beneficial if they are Azure AI Fundamentals certified.