"Navigating the Role of Software Architecture in the AI Era Amid Economic Volatility

1. This session will provide insights into the macroeconomic trends that are molding the landscape of the job market.

2. We will explore the essential skills required to remain relevant in today's job market, encompassing both soft skills and hard skills.

3. Discover practical tips and strategies aimed at enhancing your skill set and staying competitive in an ever-evolving job market.

Unleashing Creativity: Exploring Generative AI Innovations

In today's rapidly evolving landscape of artificial intelligence (AI), the integration of generative models such as Language Models (LLM) and Copilots has revolutionized the way we interact with technology. This session delves into the intricacies of Generative AI, exploring how LLMs and Copilots are reshaping the AI landscape.

We will specifically focus on Azure OpenAI, a powerful platform that provides developers with the tools and resources to leverage cutting-edge AI models effectively. Participants will gain insights into the diverse range of Azure OpenAI models available and learn how to harness their capabilities to drive innovation in various domains.

Furthermore, this session will provide practical guidance on using Azure OpenAI Studio, offering step-by-step instructions on building and deploying AI models with ease. From text generation to image recognition, attendees will discover how to unlock the full potential of Azure OpenAI Studio in their projects.

However, with great power comes great responsibility. As AI continues to permeate every aspect of our lives, it is crucial to prioritize Responsible AI practices. This session will address ethical considerations and best practices for developing AI systems that prioritize fairness, transparency, and accountability.

Lastly, we will discuss the importance of implementing robust Content Filters in AI systems to mitigate potential risks and ensure safe and inclusive online environments. By the end of this session, participants will be equipped with the knowledge and tools necessary to navigate the complex terrain of Generative AI responsibly and ethically.

Tips to Fine-Tune and Secure Your Azure OpenAI Service

This session will build on the knowledge you how to:

1. Perform fine-tuning on Azure OpenAI models
2. Secure your Azure OpenAI service
3. Use Azure AI Content Safety to protect your users
4. See demos of Azure OpenAI in action
5. This session is intended for anyone who is interested in learning more about how to use Azure OpenAI to power their own AI solutions.

Here is a more detailed breakdown of the topics that will be covered in the session:

Fine tuning: In this section, we will discuss how to fine-tune Azure OpenAI models to improve their performance on specific tasks.
Security: We will then talk about how to secure your Azure OpenAI service from unauthorized access and misuse.
Content Safety: We will also discuss how to use Azure AI Content Safety to protect your users from harmful content.
Demos: Finally, we will give you a live demonstration of Azure OpenAI in action.
We hope this session will give you the skills you need to take your Azure OpenAI journey to the next level.

Here are some additional safety considerations that will be covered in the session:

The importance of using Azure OpenAI responsibly and ethically
The need to be aware of the potential risks of using AI, such as bias and discrimination
The importance of using Azure OpenAI in a way that protects user privacy
We hope this session will help you to use Azure OpenAI safely and responsibly.

Women challenge the norms every day

Welcome to Teams10x!

introduction to Teams10x. This will hHow to get the most value from your day.

AI FOR Accessibility

AI for accessibility is an advocate of people with disabilities - committed to influencing the future of technology to ensure global independence and inclusion in society in four areas of focus: Home, community, education, and employment.Because AI systems model the world based on the data they’re given, people who don’t mirror patterns in the data can be overlooked or actively discriminated against. While the AI community has increasingly acknowledged and worked to improve the fairness of these systems when it comes to gender and race, conversations around being inclusive of people with disabilities are much more nascent.

5 Top AI innovations in Power Platform

How to infuse AI innovations within Power Platform. In this session, you will learn the latest AI Innovations for Power Platform such as Power Automate co-pilot, integrating ChatGPT with Power Apps and Power Virtual agents with real-world scenarios, AI Builder for makers and many more.
It is intended for citizen developers and IT Pros.

Lead the AI era with the Azure

In the era of AI, you can lead and empower your users with the latest innovation of Azure. In this keynote, we will cover
1. Microsoft and OpenAI partnership
2. Azure OpenAI Service
3. Azure AI stack
4. Azure OpenAI Service Capabilities
5. Top Capabilities and Use Cases
6. Power Platform and Azure OpenAI Integration

How to integrate Power Virtual agents with Power Automate with use case scenario.

We work on an actual real-world scenarios.
• Your organization is trying to recycle E-waste and decided to schedule a quarterly E-waste pickup service.
• Facilities department created an Excel file in OneDrive for business and wants employees to be able to add their name and information about the item they want to get picked up to the list.
• You will create a Power Virtual Agents bot that will get the information from users and add them to the pickup list.
• You will then create a flow that will add the item to the recycle list or to the Upcycle application depending on the user option.

Getting Started with ALM in Power Platform

Application lifecycle management (ALM) with Microsoft Power Platform is the most critical aspect of any successful project. This session we will see:

Overview of What is ALM?
ALM basics with Power Platform
ALM for Admins & Makers
ALM for Developers
ALM Automation
CoE Setting up ALM Accelerator

Power Platform Administration Basics

Managing a low-code, high-productivity tool like the Power Platform isn't easy. In this session, you'll learn how to set up a Power Platform for effective administration.

Topics we'll talk about

· Manage and create environments

· Configure Power Platform Security

· Configure monitoring

· Power Platform tuning and optimization

· Compliance and Licensing

Getting Started with Azure Data Services.

In this session, you will learn foundational knowledge of core data concepts & how it is implemented using Microsoft Azure data services.
You will see
• What are core data concepts?
• What are the types of core data workloads?
• What are relational Azure services?
• Compare PaaS, IaaS, and SaaS solutions
• Describe Azure SQL family of products including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines.
• How to work with non-relational data on Azure?
• How Azure Cosmos DB APIs work, Azure Table Storage, Azure Blob Storage, Azure File storage

Step by step guide on how to earn Microsoft Viva Insights badges.

Help your employees thrive with Microsoft Viva. But before that, let's see how you can be certified.

This session will include
1. Viva Insight learning sources.
2. What is Viva Insights Practitioner badge?
3. What is the Viva Insights Specialist badge?
4. How to prepare?
5. Time Investment for these courses

Get to know about 4 pillars of Microsoft Viva

With a significant increase in hybrid and full-time remote roles, organizations need new ways to keep employees connected, supported, and thriving. Viva, an employee experience platform from Microsoft, was designed to provide just that. In this session, we will walkthrough Viva's four modules:

1. Viva Learning,
2. Viva Insights,
3. Viva Topics, and
4. Viva Connections

We will also see earn Microsoft Viva Badges

Viva Insights: How to increases organization productivity and find a balance

In this session, we will cover the Microsoft Employee Experience Platform called Viva.
We will see the following part of Viva Insights
• What is Microsoft Viva?
• Components of Viva Insights
o Personal insights
o Manager insights
o Leader insights
o Analyst tools
• What is Workplace Analytics?
• Demo on Workplace Analytics
• Using Power BI Solutions
• Privacy and Security
• How to earn Microsoft Viva Badge.

How to manage error handling on Power Apps

There are different ways that we could use error handling in Power Apps. Using Power Apps for form controls, Patching, Power Apps own Error functions for makers to easily capture for the end-users.

How to use Power BI Streaming Datasets in your Power Automate & Cognitive Services

Power BI streaming dataset gives users the capability to stream data and update dashboards in real-time. This can be from different sources like social media, sensors, etc. This session we will cover two demos. Power BI Streaming Datasets using Microsoft Form and leveraging Microsoft Flow. The second demo is around Twitter Sentimental Analysis, Microsoft Flow and Azure Cognitive Services.

Using Microsoft flow and Microsoft flow we can easily use Power BI Real-time data sets. What is required is as follows:
1. An Office 365 free 30-days trial or subscription.
2. Power Automate
3 Power BI Free or Pro edition.

Introduction and demonstration of the business value of Power Virtual Agents.

In this session how the Power Virtual Agents are created, key terms, and core concepts. You will learn how to configure a virtual agent with Power Virtual Agents in minutes, not days.

Power Virtual Agents is not a free product but a fully fledged 30-trail can be used for testing purposes.

Power BI Time Intelligence Calculations with DAX.

Data Analysis Expressions (DAX) include time-intelligence functions that enable you to manipulate data using periods, including days, months, quarters, and years, and then build and compare calculations over those periods.

We will see time-intelligence functions such as sales financial year, MTD, QTD, & YTD calculations

Power BI Integration with Power Apps

Showcasing the better together story of Power Platform for Power BI and Power Apps. This cool feature provides you the ability to perform a write-back within your Power BI report. In this demo, we will see how you can achieve this integration using Power BI Desktop and Power BI service.

1. Power BI and Power Apps subscription.
2. Session for 1 hour

Power BI DAX 101

DAX (Data Analysis Expressions) is a formula expression language and can be used in different BI and visualization tools. DAX is also known as function language, where the full code is kept inside a function.

In this session, we will see what is DAX, basic of DAX, measures, aggregations, understanding context, and filters.

AI in Power BI

AI can help everyone in an organization automatically find patterns in their data, understand what the data means, and predict future outcomes to help business drive results. Power BI delivers a unique set of AI-infused experiences such as natural language, Quick Insights, image recognition, text analytics, and key driver analysis – leveraging the latest innovation from Microsoft Research and the huge investment Microsoft is making in AI. Attend this session to learn how AI is shaping the future of data and analytics.

HOW TO: Create custom connector in Power Platform from scratch

Aroh will share how to create a connector in Power Platform that will enable you to create your own specialized actions and triggers, which are not yet part of an existing connector.

Power BI Dashboard in an Hour

Create a dashboard in Power BI with concepts such as optimize data, setting up data models, data transformation techniques, creating relationships, fundamentals of DAX, structure and organize your measures, data visualization techniques and create compelling reports and dashboards.

Integration of Power BI with Other Microsoft 365 Apps

In this session, how the Power BI could easily integrate with your Microsoft 365 Apps such as Power Apps, Power Automate, Microsoft Teams, and SharePoint Online.

How to: Add AI Builder and Mixed Reality Components in Power Apps

Introducing AI Builder and Mixed Reality Components in Power Apps. In this session we will see the Prebuilt Models in AI Builder and Mixed Reality with some use case scenarios

How to Manage Microsoft Teams Governance in 5 easy steps.

How you manage users’ access and data in compliance with your business standards and ensure the security of your data. Settings and policies widen out into Microsoft 365 governance as Teams integrates Office 365 Groups, OneDrive, SharePoint, and other Microsoft 365 services.

Microsoft Teams governance is key to the day-to-day management and usability of Teams.
By having defined governance principles, you ensure your business has a set way of using Teams that is communicated and expected from everyone.

In this session, we will cover how we secure our Teams boundary and Teams more productive.

How to set up Microsoft Teams Learning Pathways

Microsoft 365 learning pathways is a customizable, on-demand learning solution designed to increase usage and adoption of Microsoft 365 services in your organization.

Microsoft 365 learning pathways offers:
• A fully customizable SharePoint Online communication site - The learning pathways training portal can be customized to add your organization's help, support, and community content
• Easy provisioning - Provision learning pathways from the SharePoint Online Provisioning Service with just a few easy steps
• The ability to create your own training playlists - with learning pathways, you can create targeted training playlists to meet the unique needs of your environment
• Up-to-date content - Learning pathways provide content through a Microsoft online content catalogue, so the content at your site is regularly updated

In this session, we will cover how set up Microsoft Teams Learning Path step by step.

How to set up Help Desk Solution within Microsoft Teams.

With Dataverse for Teams, the power users can rapidly build their application in minutes with data stored in the Common data services to create beautiful apps.

In this session, we will have an introduction to Dataverse for Teams, how it relates to Power Platform and how it increases organizational agility and uses Power Apps, Power Automate and Power Virtual Agents as Help Desk Solutions.

It will include Teams and Power Platform Quick Overview, What is Microsoft Dataverse for Teams, Microsoft Dataverse for Teams Features, Microsoft Dataverse for Teams Security, Demo - Walkthrough of building Apps for Teams, Demo - Walkthrough of Automation for Teams & Demo - Walkthrough of Chatbots for Teams.

SharePoint Online and Power Apps : Better Together

Just imagine the day when you as a business user are managing tasks that is making you crazy. Today with SharePoint Online and Power Apps could make life easier for business users. In this session will see how SharePoint Online and Power Apps can provide assist you creating beautiful apps that can work on web, tablet and mobile without lining a single line of code.

Dataverse for Teams: Why, What, How

With Dataverse for Teams, the power users can rapidly build their application in minutes with data stored in the Common data services to create beautiful apps. In this session, we will have an introduction Dataverse for Teams , how it relates to Power Platform and how it increases organizational agility.

Power Virtual Agents and You

In this session how the Power Virtual Agents are created, key terms, and core concepts. You will learn how to configure a virtual agent with Power Virtual Agents in minutes, not days.

Power Virtual Agents is not a free product but a fully fledged 30-trail can be used for testing purposes.

Integrate Power Automate with Azure Cognitive Service

Power Automate can immensely simplify your daily manual tasks. With this session how easily use Power Automate with Azure Cognitive Services with the translator text which can identifies and translate languages.

Automate Microsoft Teams Provisioning and Governance of Microsoft Teams with the Power Platform.

Microsoft Teams is now the company’s fastest-growing application ever. The tremendous pace of growth means organisations face challenges beyond simply automating the publishing of content and require support around administering and governing their Microsoft Teams deployments.

However, with great power comes with great responsibility (from Spiderman). A powerful tool like this one can become a nightmare for IT administrators. By leveraging Power Platform specifically Power Apps, Power Automate and Microsoft Graph APIs, we could easily manage Microsoft Teams Provisioning to respect organizational naming policies and streamline Teams Governance.

Microsoft Dataverse for Teams 101

With Dataverse for Teams, the power users can rapidly build their application in minutes with data stored in the Common data services to create beautiful apps. In this session, we will have an introduction Dataverse for Teams , how it relates to Power Platform and how it increases organizational agility.

Accelerate your Azure OpenAI learning with use cases

OpenAI and Azure OpenAI have made a lot of buzz in the AI community. In this session, you will learn how to get started with Azure OpenAI and how to use it to solve real-world problems.

We will cover the following topics:

Introduction to ChatGPT
What is prompt engineering?
Using Dall-E
Introduction to Azure OpenAI and use cases
Working on text models
Finetuning
How to secure Azure OpenAI
Azure AI Content Safety
By the end of this session, you will have a solid understanding of Azure OpenAI and how you can use it to improve your business.

Here is a more detailed outline of the session:

Introduction to ChatGPT
ChatGPT is a powerful language model that can be used to create chatbots, generate text, and answer questions. In this section, we will learn about the basics of ChatGPT and how to use it to create a chatbot.

What is prompt engineering?
Prompt engineering is the process of crafting a prompt that will generate the desired output from a language model. In this section, we will learn about the basics of prompt engineering and how to use it to get the most out of ChatGPT.

Using Dall-E
Dall-E is a text-to-image AI model that can be used to create realistic images from text descriptions. In this section, we will learn about the basics of Dall-E and how to use it to create images for your business.

Introduction to Azure OpenAI and use cases
Azure OpenAI is a cloud-based service that makes it easy to deploy and use OpenAI's powerful language models. In this section, we will learn about the basics of Azure OpenAI and some of the use cases that it can be used for.

Working on text models
Azure OpenAI also offers a variety of text models that can be used for a variety of tasks, such as text summarization, question answering, and natural language generation. In this section, we will learn about how to work with text models in Azure OpenAI.

Finetuning
Finetuning is the process of adjusting the parameters of a language model to improve its performance on a specific task. In this section, we will learn about how to finetune a language model in Azure OpenAI.

How to secure Azure OpenAI
Azure OpenAI offers a variety of security features that can help you protect your data. In this section, we will learn about how to secure Azure OpenAI.

Azure AI Content Safety
Azure AI Content Safety is a service that can be used to detect and remove harmful content from text and images. In this section, we will learn about how to use Azure AI Content Safety to protect your data.

I hope this session will help you accelerate your Azure OpenAI learning and get started using it to solve real-world problems.

Low Code Reimagined with AI with Copilot

Low-code development is becoming increasingly popular as a way to quickly and easily build applications without the need for extensive coding knowledge. However, traditional low-code tools have limitations, such as the inability to keep up with the pace of business innovation.

This session will explore how AI and Copilot are reimagining low-code development. We will discuss how AI can be used to generate code, automate tasks, and provide insights into business processes. We will also demonstrate how Copilot can be used to improve the productivity of low-code developers.

Demos:

We will show how AI can be used to generate code for Power Apps, Power Automate, AI Builder, RPA with OpenAI, Power Virtual Agents, and Power Pages.
We will demonstrate how Copilot can be used to improve the productivity of low-code developers by helping them to write code faster and more accurately.
Audience:

This session is for anyone who is interested in learning more about how AI and Copilot can be used to reimagining low-code development. This includes developers, business analysts, and IT professionals.

Benefits:

Learn how to use AI and Copilot to improve the productivity of low-code development.
Gain insights into how AI can be used to generate code, automate tasks, and provide insights into business processes.
See demos of how AI and Copilot can be used in Power Apps, Power Automate, AI Builder, RPA with OpenAI, Power Virtual Agents, and Power Pages.
Takeaways:

AI and Copilot can be used to reimagining low-code development.
AI can be used to generate code, automate tasks, and provide insights into business processes.
Copilot can be used to improve the productivity of low-code developers.

5 tips to Azure Governance and Compliance

Managing a well-organized and compliant Azure environment is crucial for the success of your cloud operations. In this informative session, we will delve into the five essential tips to effectively implement Azure governance and ensure compliance with industry standards. We'll cover a range of topics, including Azure Policies, Azure Blueprints, Azure RBAC and Azure AD Roles, Azure Locks, and Azure Tags. By the end of this session, you'll be equipped with actionable insights to establish a robust governance framework within your Azure tenant.

you are all here as we explore the strategies and tools that can help you maintain control over your Azure tenant while ensuring compliance with regulatory requirements.

Let's dive right in.

Introduction

a brief overview of the session agenda.
1. Azure Policies

The importance of Azure Policies in enforcing rules and standards within your Azure environment.
Discusses how to define and implement policies that restrict certain resource configurations to align with compliance requirements.
Slide Azure Blueprints

2. Azure Blueprints is a powerful tool for deploying consistent and repeatable environments.
Explains how to create and manage blueprints that include compliant configurations, artefacts, and policies.

3. significance of Role-Based Access Control (RBAC) and Azure Active Directory (AD) Roles.
Provides insights on assigning appropriate permissions to users, groups, and applications to maintain the least privilege access.
Slide 5: Azure Locks

4. Azure Locks as a means to prevent accidental or unauthorized modifications to critical resources.
Demonstrates how to implement locks on resources to maintain their integrity and compliance status.

5. Azure Tags

how Azure Tags help categorize and organize resources for better management and reporting.
Discusses best practices for implementing tags that align with compliance and governance requirements.
Slide 7: Conclusion

summarizes the key takeaways from each tip discussed in the session.
Encourages attendees to implement these tips to establish strong governance and compliance practices in their Azure environment.
Q&A Session:

floor to questions from the audience.
Addresses queries related to the topics covered in the session.

Kick Start Your Azure OpenAI Journey Step by Step - Part 1

Embarking on your Azure OpenAI journey can be both exciting and rewarding. In this comprehensive session, we will take you through the foundational steps to get started with the integration of Azure services and OpenAI technologies. Covering a range of topics, from understanding ChatGPT and DALL-E2 to exploring Azure OpenAI offerings, you'll gain insights and practical knowledge that will set the stage for your successful venture into the world of AI-powered applications.

I'm delighted to have you all join me as we embark on a journey into the realm of Azure services and OpenAI technologies. Today, we'll be covering a series of essential concepts that will help you establish a strong foundation for your AI-powered endeavours.

1. Introduction

Introduces themselves and provides an overview of the session agenda.

2. Understanding ChatGPT

Introduces ChatGPT, a language model developed by OpenAI for generating human-like text.
Explains the capabilities of ChatGPT in natural language understanding and generation.

3. Introduction to Prompt Engineering

Discusses the importance of prompt engineering in guiding AI models to produce desired outputs.
Offers insights into crafting effective prompts for various tasks and applications.

4. Introduction to DALL-E2

introduces DALL-E2, an AI model designed for image generation from textual descriptions.
Explains the potential applications and creative possibilities of DALL-E2.

5. Using ChatGPT

provides a hands-on demonstration of using ChatGPT for various tasks, such as text generation and question answering.
Offers practical tips for optimizing interactions with ChatGPT.

6. Introduction to Azure OpenAI

introduces Azure OpenAI as a platform that brings together the power of Azure services and OpenAI technologies.
Highlights the benefits of integrating Azure's infrastructure with OpenAI's AI models.

7. Azure OpenAI vs OpenAI

Compares Azure OpenAI with standalone OpenAI offerings.
Discusses the advantages of leveraging Azure's resources for AI model deployment and scalability.

8. Demos

conducts live demos showcasing the integration of ChatGPT and DALL-E2 within the Azure OpenAI environment.
Walks through the process of setting up, interacting with the models, and understanding the results.
Slide 9: Conclusion

summarizes the key takeaways from each topic covered in the session.
Encourages participants to explore further and continue their Azure OpenAI journey.

9. Q&A

Kickstart Your Azure OpenAI Journey: Step-by-Step Guide, Part 2

This session will provide a basic understanding of Azure OpenAI, including:

1. How to get access to Azure OpenAI
2. The different models available in Azure OpenAI
3. Use cases for Azure OpenAI
4. Responsible AI considerations when using Azure OpenAI
5. Pricing for Azure OpenAI
6. How to deploy Azure OpenAI
7. How to work with text models in Azure OpenAI

This session is intended for anyone who is interested in learning more about Azure OpenAI and how to use it to power their own AI solutions.

Here is a more detailed breakdown of the topics that will be covered in the session:

Getting access to Azure OpenAI: In this section, we will discuss how to create an Azure subscription and how to enable the Azure OpenAI service.
Models in Azure OpenAI: We will then explore the different models that are available in Azure OpenAI, including the Codex, Curie, and Dactyl models.
Use cases: We will discuss some of the different use cases for Azure OpenAI, such as generating text, translating languages, and writing different kinds of creative content.
Responsible AI: We will also discuss the importance of responsible AI when using Azure OpenAI. This includes considerations such as bias mitigation, data privacy, and safety.
Pricing: We will talk about the pricing for Azure OpenAI, so you can understand how much it will cost to use the service.
Deploying Azure OpenAI: We will then show you how to deploy Azure OpenAI in your own applications.
Working in Text Models: Finally, we will give you a hands-on tutorial on how to work with text models in Azure OpenAI.
We hope this session will give you a good understanding of Azure OpenAI and how to use it to power your own AI solutions.

Kickstart Your Azure OpenAI Journey: Step-by-Step Guide, Part 3

his session will build on the knowledge you gained in Part 2 of this series and will teach you how to:

1. Perform fine-tuning on Azure OpenAI models
2. Secure your Azure OpenAI service
3. Use Azure AI Content Safety to protect your users
4. See demos of Azure OpenAI in action
5. This session is intended for anyone who is interested in learning more about how to use Azure OpenAI to power their own AI solutions.

Here is a more detailed breakdown of the topics that will be covered in the session:

Fine tuning: In this section, we will discuss how to fine tune Azure OpenAI models to improve their performance on specific tasks.
Security: We will then talk about how to secure your Azure OpenAI service from unauthorized access and misuse.
Content Safety: We will also discuss how to use Azure AI Content Safety to protect your users from harmful content.
Demos: Finally, we will give you a live demonstration of Azure OpenAI in action.
We hope this session will give you the skills you need to take your Azure OpenAI journey to the next level.

Here are some additional safety considerations that will be covered in the session:

The importance of using Azure OpenAI responsibly and ethically
The need to be aware of the potential risks of using AI, such as bias and discrimination
The importance of using Azure OpenAI in a way that protects user privacy
We hope this session will help you to use Azure OpenAI safely and responsibly.

5 tips to secure your Power Platform ecosystem

In this comprehensive guide, we delve into the critical aspects of securing your Power Platform ecosystem by leveraging Microsoft Entra ID. Through a series of key points, we explore identity management, tenant access, environment strategy, data policies, and Dataverse security. Learn how to fortify your organization's Power Platform environment with a robust security framework. Topics include:

1. Identity Management with Microsoft Entra ID:
Discover how to manage user identities effectively using Microsoft Entra ID, ensuring secure access and authentication within your Power Platform ecosystem.

2. Tenant Access & Isolation:
Explore techniques for controlling tenant access and isolation to prevent unauthorized access and maintain the integrity of your Power Platform environment.

3. Establishing an Environment Strategy and Roles:
Learn how to define clear environment strategies and roles to manage and govern your Power Platform instances, granting the right level of access to users.

4. Data Policies:
Dive into the world of data policies, understanding how they help enforce data security and compliance in your Power Platform applications and services.

5. Dataverse Security:
Gain insights into the specific measures and best practices for securing your data within Dataverse, a critical component of the Power Platform, and ensure the confidentiality and integrity of your data assets.

Introduction to Azure OpenAI: Unleashing the Power of Artificial Intelligence in the Cloud – Part 1

Embarking on your Azure OpenAI journey can be both exciting and rewarding. In this comprehensive session, we will take you through the foundational steps to get started with the integration of Azure services and OpenAI technologies. Covering a range of topics, from understanding ChatGPT and DALL-E2 to exploring Azure OpenAI offerings, you'll gain insights and practical knowledge that will set the stage for your successful venture into the world of AI-powered applications.

I'm delighted to have you all join me as we embark on a journey into the realm of Azure services and OpenAI technologies. Today, we'll be covering a series of essential concepts that will help you establish a strong foundation for your AI-powered endeavors.

1. Introduction

Introduce themselves and provide an overview of the session agenda.

2. Understanding ChatGPT

Introduces ChatGPT, a language model developed by OpenAI for generating human-like text.
Explains the capabilities of ChatGPT in natural language understanding and generation.

3. Introduction to Prompt Engineering

Discusses the importance of prompt engineering in guiding AI models to produce desired outputs.
Offers insights into crafting effective prompts for various tasks and applications.

4. Introduction to DALL-E2

introduces DALL-E2, an AI model designed for image generation from textual descriptions.
Explains the potential applications and creative possibilities of DALL-E2.

5. Using ChatGPT

provides a hands-on demonstration of using ChatGPT for various tasks, such as text generation and question answering.
Offers practical tips for optimizing interactions with ChatGPT.

6. Introduction to Azure OpenAI

introduces Azure OpenAI as a platform that brings together the power of Azure services and OpenAI technologies.
Highlights the benefits of integrating Azure's infrastructure with OpenAI's AI models.

7. Azure OpenAI vs OpenAI

Compares Azure OpenAI with standalone OpenAI offerings.
Discusses the advantages of leveraging Azure's resources for AI model deployment and scalability.

8. Demos

conducts live demos showcasing the integration of ChatGPT and DALL-E2 within the Azure OpenAI environment.
Walks through the process of setting up, interacting with the models, and understanding the results.
Slide 9: Conclusion

summarizes the key takeaways from each topic covered in the session.
Encourages participants to explore further and continue their Azure OpenAI journey.

9. Q&A

Introduction to Azure OpenAI: Unleashing the Power of Artificial Intelligence in the Cloud – Part 3

This session will build on the knowledge you gained in Part 2 of this series and will teach you how to:

1. Perform fine-tuning on Azure OpenAI models
2. Secure your Azure OpenAI service
3. Use Azure AI Content Safety to protect your users
4. See demos of Azure OpenAI in action
5. This session is intended for anyone who is interested in learning more about how to use Azure OpenAI to power their own AI solutions.

Here is a more detailed breakdown of the topics that will be covered in the session:

Fine tuning: In this section, we will discuss how to fine tune Azure OpenAI models to improve their performance on specific tasks.
Security: We will then talk about how to secure your Azure OpenAI service from unauthorized access and misuse.
Content Safety: We will also discuss how to use Azure AI Content Safety to protect your users from harmful content.
Demos: Finally, we will give you a live demonstration of Azure OpenAI in action.
We hope this session will give you the skills you need to take your Azure OpenAI journey to the next level.

Here are some additional safety considerations that will be covered in the session:

The importance of using Azure OpenAI responsibly and ethically
The need to be aware of the potential risks of using AI, such as bias and discrimination
The importance of using Azure OpenAI in a way that protects user privacy
We hope this session will help you to use Azure OpenAI safely and responsibly.

Introduction to Azure OpenAI: Unleashing the Power of Artificial Intelligence in the Cloud – Part 2

This session will provide a basic understanding of Azure OpenAI, including:

1. How to get access to Azure OpenAI
2. The different models available in Azure OpenAI
3. Use cases for Azure OpenAI
4. Responsible AI considerations when using Azure OpenAI
5. Pricing for Azure OpenAI
6. How to deploy Azure OpenAI
7. How to work with text models in Azure OpenAI

This session is intended for anyone who is interested in learning more about Azure OpenAI and how to use it to power their own AI solutions.

Here is a more detailed breakdown of the topics that will be covered in the session:

Getting access to Azure OpenAI: In this section, we will discuss how to create an Azure subscription and how to enable the Azure OpenAI service.
Models in Azure OpenAI: We will then explore the different models that are available in Azure OpenAI, including the Codex, Curie, and Dactyl models.
Use cases: We will discuss some of the different use cases for Azure OpenAI, such as generating text, translating languages, and writing different kinds of creative content.
Responsible AI: We will also discuss the importance of responsible AI when using Azure OpenAI. This includes considerations such as bias mitigation, data privacy, and safety.
Pricing: We will talk about the pricing for Azure OpenAI, so you can understand how much it will cost to use the service.
Deploying Azure OpenAI: We will then show you how to deploy Azure OpenAI in your own applications.
Working in Text Models: Finally, we will give you a hands-on tutorial on how to work with text models in Azure OpenAI.
We hope this session will give you a good understanding of Azure OpenAI and how to use it to power your own AI solutions.

Fortify the Security of Your Power Platform

In this comprehensive guide, we delve into the critical aspects of securing your Power Platform ecosystem by leveraging Microsoft Entra ID. Through a series of key points, we explore identity management, tenant access, environment strategy, data policies, and Dataverse security. Learn how to fortify your organization's Power Platform environment with a robust security framework. Topics include:

1. Identity Management with Microsoft Entra ID:
Discover how to manage user identities effectively using Microsoft Entra ID, ensuring secure access and authentication within your Power Platform ecosystem.

2. Tenant Access & Isolation:
Explore techniques for controlling tenant access and isolation to prevent unauthorized access and maintain the integrity of your Power Platform environment.

3. Establishing an Environment Strategy and Roles:
Learn how to define clear environment strategies and roles to manage and govern your Power Platform instances, granting the right level of access to users.

4. Data Policies:
Dive into the world of data policies, understanding how they help enforce data security and compliance in your Power Platform applications and services.

5. Dataverse Security:
Gain insights into the specific measures and best practices for securing your data within Dataverse, a critical component of the Power Platform, and ensure the confidentiality and integrity of your data assets.

Governance in Action: Real-world Strategies for Effectively Managing Power Platform Environments

Environment Strategy:

Develop a tailored environment strategy aligning with organizational goals.
Implement a tiered approach for different business units to optimize efficiency.
Managing Environments:

Explore best practices for environment creation, sharing, and lifecycle management.
Establish governance roles to ensure responsible management and oversight.
Data Loss Prevention:

Implement robust data loss prevention policies to safeguard sensitive information.
Leverage Power Platform tools for monitoring and enforcement of data protection measures.
Centre of Excellence (CoE):

Establish a Center of Excellence to drive consistent practices and knowledge sharing.
Foster collaboration between business and IT stakeholders for enhanced CoE effectiveness.
Licensing:

Understand Power Platform licensing models and optimize license allocation.
Ensure compliance with licensing policies to avoid potential issues and maximize ROI.

5 tips to simplify and improve low-code governance within your organization

Title: Streamlining Low-Code Governance: A Comprehensive Overview

Introduction:
Low code development has revolutionized the way organizations create applications, empowering users with varying technical backgrounds to contribute to the development process. However, as the adoption of low-code platforms such as Microsoft Power Platform grows, the need for effective governance becomes paramount. In this write-up, we explore the essentials of low-code governance, covering key aspects like tenant-wide analytics, CoE Starter kit tool, managing app and flow ownership, handling departing users, and overseeing both Power Platform and Teams environments.

What is Low Code?
Low code is a development approach that enables users to create applications with minimal hand-coding and manual programming. It allows business users to participate in the application development process, accelerating the delivery of solutions while maintaining the organization's standards and security.

1. Tenant-wide Analytics:
Effective low-code governance begins with comprehensive analytics that provides insights into the entire tenant. This involves monitoring usage patterns, identifying potential bottlenecks, and ensuring compliance with organizational policies. Tenant-wide analytics empower administrators to make informed decisions, optimize resources, and address any emerging issues promptly.

2. CoE Starter Kit Tool:
The Center of Excellence (CoE) Starter Kit is a crucial tool for establishing and maintaining governance in low-code environments. It provides a set of templates, guidelines, and best practices to help organizations kickstart their CoE initiatives. This tool ensures consistency, standardization, and adherence to policies across the low-code development landscape.

3. Managing Quarantine, Change Ownership, and Users Who Left the Organization:
Effective governance includes managing the lifecycle of apps and flows, especially when users leave the organization or ownership changes are required. Proper procedures for quarantining, changing ownership, and handling departing users help maintain continuity and security, preventing unauthorized access or loss of critical applications.

4. Managing Power Platform and Teams Environments:
Governance extends beyond individual apps and flows to encompass the broader environment. Administrators must have tools and processes in place to manage Power Platform and Teams environments effectively. This involves overseeing permissions, monitoring usage, and ensuring that the overall landscape aligns with organizational objectives and compliance requirements.

5. Managing Managed Environments:
In low-code development, managing environments is crucial for maintaining a structured and secure landscape. This involves overseeing the creation, deployment, and administration of managed environments to ensure that they align with organizational standards and policies. Proper management of environments contributes to a stable and reliable low-code development ecosystem.

Maximizing Business Impact with Microsoft Copilot Studio

In this session, we'll explore the seamless integration of Microsoft Copilot Studio, focusing on three key aspects:

Unlocking the Potential: Understanding Why Copilot Studio Matters

Delve into real-world use cases that showcase the advantages of incorporating Copilot Studio.
Demystifying Copilot Studio: What It Is and How It Works

Gain insights into the core functionality and features of Copilot Studio, setting the foundation for a comprehensive understanding.
Hands-On Experience: Using Copilot Studio in Practical Scenarios

Explore the practical application of Copilot Studio through live demonstrations:
a. Customize Your Copilot: Learn to tailor Copilot to your specific needs.
b. Generative AI Customization: Build a personalized Copilot using Generative AI.
c. User-Friendly Design: Understand the simplicity of Copilot's design.
d. Governance and Security: Ensure the security of your customized Copilot.
e. Analytics Integration: Explore how Copilot enhances analytical capabilities.
f. AI Integration Tools: Discover tools that seamlessly integrate with Copilot.
g. Multi-Channel Accessibility: Explore Copilot's versatility across various communication channels.

Embarking on the path to achieve Microsoft AI certification.

You can get Microsoft AI certification using this path
AI-900

1. Fundamental Concepts: Grasp foundational AI concepts, including machine learning, natural language processing, and computer vision, as outlined in the AI-900 Microsoft Certification.
2. Azure AI Services: Familiarize yourself with key Azure AI services such as Azure Cognitive Services and Azure Machine Learning, essential components covered in the certification.
3. Use Cases and Applications: Understand real-world applications of AI technologies and their potential impact across various industries to enhance your practical knowledge.
4. Hands-On Experience: Gain hands-on experience with Microsoft AI tools and services, ensuring you can confidently apply theoretical knowledge to practical scenarios.
5. Exam Preparation: Utilize available study resources, practice exams, and official documentation to prepare thoroughly for the AI-900 certification exam and increase your chances of success.

AI-102

1. Exam Overview: Understand the key components and objectives of the AI-102 Microsoft Certification exam, covering topics such as designing and implementing AI solutions, implementing natural language processing, and deploying machine learning models.
2. Prerequisite Skills: Ensure attendees have a solid foundation in prerequisite skills, including proficiency in Python programming, knowledge of Azure services, and familiarity with machine learning concepts and frameworks.
3. Hands-on Experience: Emphasize the importance of practical experience by engaging in hands-on projects and labs. This could involve implementing AI solutions using Azure services, working with real-world datasets, and deploying machine learning models.
4. Study Resources: Provide a curated list of recommended study resources, including official Microsoft documentation, practice exams, and relevant online courses. Encourage attendees to leverage these resources for comprehensive exam preparation.
5. Exam Strategies: Share effective exam strategies, such as time management, understanding question formats, and focusing on high-impact topics. Discuss common pitfalls and offer guidance on how to approach different types of questions to increase the likelihood of success.

Accelerate Your Applications with Power Apps, ChatGPT, and Azure OpenAI

Join us for an exciting technical session that explores the combination of Power Apps, ChatGPT, and Azure OpenAI to create powerful and intelligent applications. In this session, we will delve into the capabilities and integration possibilities of these cutting-edge technologies. Discover how you can leverage Power Apps to rapidly build custom applications, harness the language generation capabilities of ChatGPT, and unlock the potential of Azure OpenAI for advanced AI functionalities.
Agenda:
1. Introduction to Power Apps:
• Overview of Power Apps and its capabilities
• Building custom applications with Power Apps
2. Understanding ChatGPT:
• Introduction to ChatGPT and its natural language processing abilities
• Exploring real-world use cases for ChatGPT integration
3. Integrating ChatGPT with Power Apps:
• Leveraging the language generation capabilities of ChatGPT in Power Apps
• Creating interactive and intelligent user experiences
4. Exploring Azure OpenAI:
• Introduction to Azure OpenAI and its features
• Harnessing Azure OpenAI for advanced AI functionalities
5. Power Apps, ChatGPT, and Azure OpenAI Integration:
• Combining Power Apps, ChatGPT, and Azure OpenAI to create powerful applications
• Demonstrations and examples of integrated solutions
6. Best Practices and Considerations:
• Ensuring scalability and performance in Power Apps with AI integration
• Addressing privacy and security concerns
7. Q&A

How Power Platform and Azure OpenAI are transforming businesses around the world

Power Platform and Azure OpenAI are two of the most powerful technologies available to businesses today. In this session, you will learn how these technologies can be used to rapidly build custom applications, harness the power of AI, and transform your business.

We will start by discussing the capabilities of Power Platform and Azure OpenAI. We will then explore some of the amazing case studies that have been using these technologies to achieve incredible results. Finally, we will discuss how you can use these technologies to transform your own business.

By the end of this session, you will have a clear understanding of the power of Power Platform and Azure OpenAI. You will also be able to see how these technologies can be used to solve your business challenges and achieve your goals.

Supercharge your business insights with Power Platform and Azure Synapse Analytics.

Do you want Power Platform to offer enterprise data warehouse capabilities? In this session, you will see how quickly you can analyze business insights with Power Platform and Azure to accelerate your business processes. This will give power to your decision-makers.

This session is intended for citizen developers and data analysts.

Take your innovation to the next level with Fusion Development.

Interested in integrating Power Apps with Azure Cosmos DB? You'll learn how to build this connector both functionally and technically. Learn how to use Azure Function Apps and Azure APIM with .NET Core custom development with Power Apps.
Designed for citizen developers, professional developers and IT professionals looking to streamline their application landscape with low-code and Azure services.

Supercharge your applications with Power Apps and Azure OpenAI

Join us for an exciting technical session that explores the combination of Power Apps, ChatGPT, and Azure OpenAI to create powerful and intelligent applications. In this session, we will delve into the capabilities and integration possibilities of these cutting-edge technologies. Discover how you can leverage Power Apps to rapidly build custom applications, harness the language generation capabilities of ChatGPT, and unlock the potential of Azure OpenAI for advanced AI functionalities.
Agenda:
1. Introduction to Power Apps:
• Overview of Power Apps and its capabilities
• Building custom applications with Power Apps
2. Understanding ChatGPT:
• Introduction to ChatGPT and its natural language processing abilities
• Exploring real-world use cases for ChatGPT integration
3. Integrating ChatGPT with Power Apps:
• Leveraging the language generation capabilities of ChatGPT in Power Apps
• Creating interactive and intelligent user experiences
4. Exploring Azure OpenAI:
• Introduction to Azure OpenAI and its features
• Harnessing Azure OpenAI for advanced AI functionalities
5. Power Apps, ChatGPT, and Azure OpenAI Integration:
• Combining Power Apps, ChatGPT, and Azure OpenAI to create powerful applications
• Demonstrations and examples of integrated solutions
6. Best Practices and Considerations:
• Ensuring scalability and performance in Power Apps with AI integration
• Addressing privacy and security concerns
7. Q&A

Future-Proof Yourself in the Generative AI Era

This session will explore the following topics:

1. Current Job Market Situation (2023-2024): We'll delve into the current state of the job market, examining trends and insights from the past two years.

2. Jobs Impacted by Generative AI: We'll discuss how generative AI is transforming the workforce, identifying roles that may be affected by this technology.

3. Hiring and Firing Trends Across All Sectors: We'll explore hiring and firing patterns not just in tech, but across various industries, to understand the broader impact of generative AI.

4. The Impact of Generative AI on the Workforce: We'll analyze the potential consequences of generative AI on the workforce, considering both opportunities and challenges.

5. Strategies for Future-Proofing Your Career: We'll equip you with actionable strategies to adapt and thrive in the face of an evolving job market shaped by generative AI.

Introduction to Azure OpenAI: Unleashing the Power of Artificial Intelligence in the Cloud – Part 4

Exam cram for AI-900 with sample question

Introduction to AI in Azure: Understand the basic principles of artificial intelligence (AI) and how it is implemented within the Azure ecosystem. This includes knowledge of various AI services and tools available on the Azure platform.

Azure Cognitive Services: Familiarize yourself with Azure Cognitive Services, which are pre-built AI models that can be easily integrated into applications. These services cover areas such as vision, speech, language, and decision-making.

Azure Machine Learning: Learn about Azure Machine Learning, a cloud-based service for building, training, and deploying machine learning models. Understand how to use Azure ML to create predictive analytics solutions and automate decision-making processes.

Azure Bot Services: Explore Azure Bot Services, which enable the development of intelligent conversational bots that can interact with users via text or speech. Understand how to design, build, and deploy bots using Azure Bot Services.

Azure AI Solutions: Gain knowledge of various AI solutions and scenarios where Azure AI services can be applied. This includes understanding common use cases such as image recognition, natural language processing, and predictive analytics, and how to leverage Azure services to address them.

Navigating the Role of a Cloud Architect in the Microsoft AI Age

1. The rapid changes brought by AI are impacting both personal and professional aspects of our lives. During this session, we will delve into how Cloud Architects are adapting to this swift evolution.

2. We will explore the methods through which Cloud Architects are acquiring and honing the necessary skills to navigate the AI-driven landscape.

3. Delving into the distinction between soft skills and hard skills, we'll examine their respective roles in the toolkit of a Cloud Architect amidst AI advancements.

4. Exploring the ramifications, we'll analyze the influence of Generative AI within the Microsoft ecosystem and its implications for Cloud Architects.

5. Lastly, we'll provide insights into various learning resources available to Cloud Architects seeking to stay abreast of the latest developments in AI and Microsoft technologies.

Empower Your Power BI Reports: Mastering Copilot for Next-Level Analytics

During this session, you'll be introduced to Copilot within Power BI.
a) Discover the simplicity of creating measures and activating Copilot features in Power BI, including utilizing DAX measures with prompts.
b) In the following demonstration, learn how to incorporate synonyms and effectively leverage Copilot with synonym usage.

Craft a Speech-to-Text App Empowered by AI Using Python and Azure OpenAI Services

In this session we will explore the following

1. Exploring Python Basics (Python 101)
2. Python's Role in Machine Learning and Artificial Intelligence (ML and AI Applications)
3. Overview of Azure Open's Speech-to-Text Models
4. Options for Deploying Applications
5. Building an Application with VS Code, Python, and Azure OpenAI Integration
6. Live Demonstration

Unlocking AI Potential with Microsoft Azure: A Dive into Artificial Intelligence, Machine Learning,

During the session, we'll delve into fundamental concepts of AI, ML, and Deep Learning, fostering a learning environment. Topics covered will include:

1. Introduction to Azure AI and its services.
2. Exploring Azure ML.
3. Understanding Natural Language Processing (NLP) and its applications.
4. Delving into Predictive AI and its real-world uses.
5. Examining Generative AI and its practical applications.
6. Live demonstrations to illustrate key concepts.

Develop an AI-Powered Speech Recognition App with Python and Azure OpenAI Services.

In this session we will explore the following

1. Exploring Python Basics (Python 101)
2. Python's Role in Machine Learning and Artificial Intelligence (ML and AI Applications)
3. Overview of Azure Open's Speech-to-Text Models
4. Options for Deploying Applications
5. Building an Application with VS Code, Python, and Azure OpenAI Integration
6. Live Demonstration

Streamlining Governance of Azure AI Service: Three Essential Steps

Streamlining Governance of Azure AI Service: Three Essential Steps
1. The session will delve into the concepts of fine-tuning and RAG and explore their implementation in Azure AI Services.
2. We'll discuss strategies for securing your AI Services within the Azure framework, ensuring robust protection for your data and operations.
3. Content safety within Azure AI Service will be addressed, highlighting methods to maintain integrity and safety standards for the content processed.
4. Numerous demos will be shared throughout the session, providing practical insights and illustrating key concepts.

Building an AI-Enhanced Speech-to-Text Application with Python and Azure OpenAI Services.

In this session we will explore the following

1. Exploring Python Basics (Python 101)
2. Python's Role in Machine Learning and Artificial Intelligence (ML and AI Applications)
3. Overview of Azure Open's Speech-to-Text Models
4. Options for Deploying Applications
5. Building an Application with VS Code, Python, and Azure OpenAI Integration
6. Live Demonstration

Mastering Prompt Engineering: The Fusion of Art and Science

AI and prompt engineering are among the most promising fields in artificial intelligence. This guide covers both the basics and advanced aspects of prompt engineering.

1. What Exactly is Prompt Engineering?

Understanding the fundamentals of prompt engineering and its significance in AI.

2. How to Leverage OpenAI Playground

A step-by-step guide on using the OpenAI Playground for prompt testing and development.

3. 5 Principles of Prompting

Key principles to follow for effective prompt creation and optimization.
4. How Does AI Work?

An overview of the mechanisms and processes that drive AI technologies.

5. Advanced Text Model Techniques

Exploring sophisticated techniques for enhancing text model performance.

6. Demos

Practical demonstrations showcasing prompt engineering in action.

Mastering AI Studio Prompt Flow: From Concepts to Deployment - Part 1

This session is designed to guide you through the journey of AI Studio Prompt Flow, exploring its significance and the differences it holds compared to Copilot stack. Learn how to create new prompt flows, publish them, and see firsthand the real-world applications through demos. Build your understanding of how prompt flows can elevate AI capabilities for your needs.

Create your own your private data in Azure AI Studio with RAG

Discover how to leverage your own data for AI development in Azure AI Studio using Retrieval-Augmented Generation (RAG). This session will cover what RAG is, its applications in Azure, and the steps needed to set up a RAG infrastructure. Learn how to build RAG prompts and watch demonstrations of how it transforms AI processes.

Implementing Responsible AI Practices in Azure AI Studio

In this session, you will learn:
• The principles of Responsible AI and their role in AI development
• How Azure AI Studio utilizes content safety for ethical AI usage
• Hands-on exploration of content safety filters in Azure
• How to perform API calls to integrate content safety into your solutions
• Best practices for applying content safety in prompt flow scenarios

Mastering AI Studio Prompt Flow: From Concepts to Deployment - Part 2

Here is a point-wise breakdown for a session on Azure Prompt Flow:

1. Review of Part 1
- Brief recap of the concepts and topics covered in Part 1.

2. Basics - How to Build a Custom Azure Prompt Flow**
- Introduction to the fundamental concepts of Azure Prompt Flow.
- Overview of the components and structure needed to create a custom flow.

3. Build a Custom Azure Prompt Flow
- Step-by-step demonstration of creating a custom Azure Prompt Flow.
- Explanation of key configurations and settings.

4. Publish the Custom Azure Prompt Flow as a Managed Endpoint
- Instructions on publishing the created flow as a managed endpoint.
- Discuss the benefits of a managed endpoint for scalability and deployment.

5. Use the Endpoint to Test the Custom Azure Prompt Flow
- Demonstrate how to test the flow using the published endpoint.
- Walk through testing methods and example inputs.

6. Trace and See the Output
- Guide on how to trace the flow’s execution.
- Analyze the output and logs to ensure the flow functions as intended.

AI Python for Beginners

AI Overview:

Introduction to AI, its definitions, applications, and significance in the modern world.
Overview of AI’s impact on industries like healthcare, finance, and education.
Predictive AI vs. Generative AI:

Explanation of predictive AI (analyzing historical data for future predictions).
Insights into generative AI (creating new content like text, images, and code).
Comparison of their use cases and advantages.
Why Python for AI Field:

Discussion on Python’s simplicity, extensive libraries (like TensorFlow, PyTorch, and Scikit-learn), and strong community support.
Highlighting Python's versatility for both data processing and building AI models.
How to Set Up Python Environment (Step-by-Step):

Step 1: Install Python.
Step 2: Set up a code editor (e.g., VS Code, PyCharm, or Jupyter Notebook).
Step 3: Install essential libraries using pip (NumPy, Pandas, Matplotlib, etc.).
Step 4: Test the setup with a simple Python script.
Python Learning Resources:

Curated list of beginner resources, including online tutorials, books, and platforms like Coursera, Udemy, and YouTube channels.
Recommended hands-on projects to build foundational skills.
Microsoft AI Certifications:

Overview of Microsoft AI certifications, such as AI-900 (Azure AI Fundamentals).
Benefits of certifications for professional growth and industry recognition.
Tips for preparing and passing certification exams.