11:30 AM - 12:30 PM (UTC)

In this opening session of the AI-102 series, participants will delve into the core principles of AI development and gain insights into the capabilities of Azure services tailored for AI solutions. The focus extends from defining artificial intelligence to understanding responsible AI practices, with a hands-on exploration of Azure AI services and practical aspects of resource creation and consumption. How do you think that a Start-up will benefit from this session? Start-ups can leverage this session to empower their teams with foundational knowledge in AI development and Azure services. By understanding AI principles, ethical considerations, and hands-on skills in utilizing Azure AI services, start-ups can infuse innovation into their products, enhance operational efficiency, and gain a competitive edge in the market. The session will focus on establishing a strong foundation in AI development, covering key principles, ethical considerations, and hands-on experience with Azure AI services. Participants will gain insights into the capabilities of Azure Machine Learning, AI services, OpenAI Service, and AI Search. What will the attendees or a Start-up learn from the session? Attendees, particularly those from start-ups, will learn essential AI development principles, responsible AI practices, and practical skills for utilizing Azure AI services. This foundational knowledge will enable them to define AI, understand associated terms, and proficiently create and consume Azure AI services resources, paving the way for innovative and ethically sound AI solutions. Read More: https://aka.ms/ConsumeAzureAIservices https://aka.ms/AIsolutionsonAzure Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

Explore the critical measures for securing Azure AI services to prevent data loss and privacy violations. Learn how to implement authentication for Azure AI services and effectively manage network security. Additionally, discover the significance of monitoring Azure AI services, enabling you to track utilization, identify trends, and troubleshoot issues promptly. How do you think that a Start-up will benefit from this session? Start-ups can enhance the security posture of their AI solutions by implementing best practices for authentication and network security. Monitoring Azure AI services allows start-ups to optimize costs, detect trends, and ensure the smooth functioning of their AI applications. This session will focus on two key aspects - securing Azure AI services through proper authentication and network security management and monitoring Azure AI services to track costs, set up alerts, and manage diagnostic logging effectively. What will the attendees or a Start-up learn from the session? Participants, especially those from start-ups, will gain insights into securing Azure AI services, understanding authentication, managing network security, and implementing effective monitoring strategies. These skills are crucial for ensuring the integrity, privacy, and performance of AI solutions. Read More: https://aka.ms/MonitorAzureAIservices https://aka.ms/SecureAzureAIservices Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

In this session, we'll focus on decision support and Azure AI Services, preparing you for Exam AI-102. You'll learn to create and deploy containers, enhancing flexibility with Docker containers. The module will also cover securing containers and consuming Azure AI services from within them. Additionally, we'll explore Azure Content Moderator, delving into text moderation fundamentals, key features, and practical testing using the web-based API console. By the end, you'll gain valuable insights and skills for effective decision-making support and leveraging Azure AI services. How do you think that a Start-up will benefit from this session? This session is highly beneficial for startups as it provides crucial insights into decision support and Azure AI Services, enabling informed and strategic decision-making. The focus on container support offers startups the flexibility to deploy and scale services efficiently, aligning with the dynamic nature of startup operations. Learning to secure containers ensures data protection, a critical aspect for startups dealing with sensitive information. The ability to consume Azure AI services from containers equips startups with advanced capabilities, enhancing their product offerings and technological edge. Additionally, the module on text moderation is particularly advantageous for startups involved in online platforms, ensuring a safer and more responsible content environment for users. This session will focus on empowering participants to master decision support with Azure AI Services, emphasizing container support for flexible deployment and integration, as well as exploring text moderation using Azure Content Moderator. What will the attendees or a Start-up learn from the session? Attendees, especially those from startups, will gain expertise in decision support using Azure AI Services, with a focus on containerized deployment for flexibility and integration, along with practical insights into text moderation for content control. Read More: https://aka.ms/Azure-ContentModerator https://aka.ms/AIservicesincontainers Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

Explore the critical measures for securing Azure AI services to prevent data loss and privacy violations. Learn how to implement authentication for Azure AI services and effectively manage network security. Additionally, discover the significance of monitoring Azure AI services, enabling you to track utilization, identify trends, and troubleshoot issues promptly. Read More: https://aka.ms/MonitorAzure-AIservices https://aka.ms/AI-Services How do you think that a Start-up will benefit from this session? Start-ups can enhance the security posture of their AI solutions by implementing best practices for authentication and network security. Monitoring Azure AI services allows start-ups to optimize costs, detect trends, and ensure the smooth functioning of their AI applications. This session will focus on two key aspects - securing Azure AI services through proper authentication and network security management and monitoring Azure AI services to track costs, set up alerts, and manage diagnostic logging effectively. What will the attendees or a Start-up learn from the session? Participants, especially those from start-ups, will gain insights into securing Azure AI services, understanding authentication, managing network security, and implementing effective monitoring strategies. These skills are crucial for ensuring the integrity, privacy, and performance of AI solutions. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

This session will explore the domain of computer vision within artificial intelligence, focusing on Azure AI Vision services that facilitate various visual perception tasks. Participants will discover how Azure AI Vision supports common computer vision scenarios and prepare them for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution. Through Azure AI Vision services, attendees will learn to leverage pre-trained models for image analysis, extracting valuable insights and information. How do you think that a Start-up will benefit from this session? Start-ups stand to benefit significantly from this session by gaining insights into leveraging Azure AI Vision services to enhance their products and solutions. By understanding how to utilize pre-trained models for image analysis, start-ups can extract valuable insights from visual data, improving their products' functionality and user experience. Additionally, preparing for Exam AI-102 equips start-ups with the knowledge and skills necessary to design and implement effective Azure AI solutions, fostering innovation and competitiveness in their respective markets. This session will primarily focus on two key aspects: leveraging Azure AI Vision services to provision resources and analyze images, including the generation of smart-cropped thumbnails. Participants will gain proficiency in provisioning Azure AI Vision resources, analyzing images using pre-trained models, and generating smart-cropped thumbnails to optimize image display and user experience. What will the attendees or a Start-up learn from the session? Attendees, especially those from start-ups, will learn valuable skills essential for leveraging Azure AI Vision services effectively. These skills include provisioning Azure AI Vision resources, analyzing images to extract insights, and generating smart-cropped thumbnails. By mastering these techniques, start-ups can enhance their products and solutions, providing better user experiences and gaining a competitive edge in their respective markets. Additionally, preparing for Exam AI-102 empowers attendees with the knowledge and certification necessary to design and implement Microsoft Azure AI solutions confidently. Read More: https://aka.ms/AzureAIVisionmodels https://aka.ms/Analyzetheimages Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

Discover how to read text from images using OCR, utilize Azure's AI Vision service for image analysis, and extract insights from videos using Azure Video Indexer. Whether it's reading printed or handwritten text or identifying faces and objects in videos, this module will equip you with the skills to develop powerful applications. Read More: https://aka.ms/Analyze-video https://aka.ms/Azure-AI-Vision-Service How do you think that a Start-up will benefit from this session? Start-ups stand to benefit significantly from this session by gaining insights into leveraging Azure's AI Vision Service and Video Indexer. By learning how to read text from images using OCR and extract insights from videos, start-ups can enhance their product capabilities, improve user experiences, and gain a competitive edge in their respective markets. Additionally, by leveraging pre-built AI services like Azure, start-ups can achieve cost-efficiency and scalability, allowing them to focus resources on innovation and growth. The session will focus on teaching participants how to utilize Azure's AI Vision Service for optical character recognition (OCR) to extract text from images, as well as exploring the capabilities of Azure Video Indexer for extracting insights from videos, including face identification and text recognition. What will the attendees or a Start-up learn from the session? Attendees, including start-ups, will learn how to effectively utilize Azure's AI Vision Service to extract text from images using OCR, as well as how to leverage Azure Video Indexer to extract valuable insights from videos, empowering them to enhance product capabilities and improve user experiences. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

In this session, participants will dive into the realm of facial detection, analysis, and recognition using Azure Computer Vision services. As a fundamental aspect of artificial intelligence, the ability to detect human faces, analyze facial features and emotions, and identify individuals is crucial for numerous applications. Throughout the session, attendees will explore various options for face detection, analysis, and identification, gaining insights into considerations for effective face analysis. Additionally, participants will learn to leverage Azure's Computer Vision and Face services to detect faces, understand their capabilities, compare and match detected faces, and implement facial recognition techniques. How do you think that a Start-up will benefit from this session? Start-ups can harness the knowledge gained from this session to enhance their products and solutions by integrating advanced facial detection and recognition capabilities. By understanding the options and considerations for face analysis and implementing facial recognition using Azure Computer Vision services, start-ups can create innovative applications with improved user experiences and heightened security measures. This session equips start-ups with the essential skills and insights necessary to leverage AI capabilities effectively, positioning them for success in today's competitive landscape. This session will focus on exploring various options for face detection, analyzing facial features and emotions, understanding the capabilities of Azure's Computer Vision and Face services, comparing and matching detected faces, and implementing facial recognition techniques. Read More: https://aka.ms/Detect/analyze/recognize-faces What will the attendees or a Start-up learn from the session? Attendees, including AI Engineers and Developers, will gain proficiency in: Identifying options for face detection, analysis, and identification. Understanding considerations for effective face analysis. Detecting faces using Azure's Computer Vision service. Utilizing the capabilities of Azure's Face service. Comparing and matching detected faces. Implementing facial recognition techniques. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

Discover how to read text from images using OCR, utilize Azure's AI Vision service for image analysis, and extract insights from videos using Azure Video Indexer. Whether it's reading printed or handwritten text or identifying faces and objects in videos, this module will equip you with the skills to develop powerful applications. How do you think that a Start-up will benefit from this session? Start-ups stand to benefit significantly from this session by gaining insights into leveraging Azure's AI Vision Service and Video Indexer. By learning how to read text from images using OCR and extract insights from videos, start-ups can enhance their product capabilities, improve user experiences, and gain a competitive edge in their respective markets. Additionally, by leveraging pre-built AI services like Azure, start-ups can achieve cost-efficiency and scalability, allowing them to focus resources on innovation and growth. Read More: https://aka.ms/Analyzevideo https://aka.ms/AIVisionService The session will focus on teaching participants how to utilize Azure's AI Vision Service for optical character recognition (OCR) to extract text from images, as well as exploring the capabilities of Azure Video Indexer for extracting insights from videos, including face identification and text recognition. What will the attendees or a Start-up learn from the session? Attendees, including start-ups, will learn how to effectively utilize Azure's AI Vision Service to extract text from images using OCR, as well as how to leverage Azure Video Indexer to extract valuable insights from videos, empowering them to enhance product capabilities and improve user experiences. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

Discover how to read text from images using OCR, utilize Azure's AI Vision service for image analysis, and extract insights from videos using Azure Video Indexer. Whether it's reading printed or handwritten text or identifying faces and objects in videos, this module will equip you with the skills to develop powerful applications. You'll also learn how to deploy these AI services in containers, Azure Container Instances (ACI), and Azure Kubernetes Service (AKS) to ensure scalability and flexibility for your solutions. Read More: https://aka.ms/Video-Analyze https://aka.ms/AI-VisionService How Do You Think a Start-up Will Benefit from This Session? Start-ups stand to benefit significantly from this session by gaining insights into leveraging Azure's AI Vision Service and Video Indexer. By learning how to read text from images using OCR and extract insights from videos, start-ups can enhance their product capabilities, improve user experiences, and gain a competitive edge in their respective markets. Additionally, by leveraging pre-built AI services like Azure's, start-ups can achieve cost-efficiency and scalability, allowing them to focus resources on innovation and growth. Deploying these services in containers, ACI, and AKS further ensures that start-ups can maintain operational efficiency and scalability as their business grows. The session will focus on teaching participants how to utilize Azure's AI Vision Service for optical character recognition (OCR) to extract text from images, as well as exploring the capabilities of Azure Video Indexer for extracting insights from videos, including face identification and text recognition. Additionally, it will cover deploying these AI services in containers, ACI, and AKS for scalable and flexible application deployment. What Will the Attendees or a Start-up Learn from This Session? Attendees, including start-ups, will learn how to effectively utilize Azure's AI Vision Service to extract text from images using OCR, as well as how to leverage Azure Video Indexer to extract valuable insights from videos. They will also gain knowledge on deploying these AI services in containers, Azure Container Instances (ACI), and Azure Kubernetes Service (AKS), empowering them to enhance product capabilities, improve user experiences, and ensure scalable and efficient operations. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

Dive into the world of image analysis with Azure AI Vision services using Python. Learn how to harness pre-trained models to analyze images, classify them with custom models, and read text using OCR. This session will empower you to build applications that can understand and interpret visual data, thereby unlocking a range of possibilities from automated document processing to advanced image recognition tasks. Read More: https://aka.ms/AIVision-Service https://aka.ms/AIVisionmodels https://aka.ms/Analyzei-mages How do you think a Start-up will be benefited from this session? Start-ups can significantly benefit from this session by learning how to leverage Azure's AI Vision services using Python. These capabilities can help start-ups enhance their product offerings with advanced image analysis, automate processes like document digitization, and develop custom models tailored to specific needs. By utilizing Azure's scalable and cost-efficient AI services, start-ups can focus on innovation without worrying about the underlying infrastructure, thus gaining a competitive advantage in the market. The session will focus on: Teaching participants how to use Azure's AI Vision Service for optical character recognition (OCR) to extract text from images. Exploring the capabilities of custom image classification using Azure AI Vision's Custom Vision Service with Python. What will the attendees or a Start-up learn from the session? Attendees, including start-ups, will learn how to effectively utilize Azure's AI Vision Service to extract text from images using OCR, and how to create and use custom image classification models with Python. This knowledge will enable them to enhance their applications' capabilities and improve user experiences through powerful visual data processing. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

Embark on a journey to explore the Azure OpenAI Service. This session is designed to equip engineers and developers with the foundational skills required to build solutions using Azure OpenAI Service. Participants will learn how to create and manage Azure OpenAI resources, deploy base models, and utilize the Azure OpenAI Studio for model testing and prompt completion. By the end of this session, you will be ready to leverage Azure's AI capabilities to enhance your applications with advanced generative AI functionalities. Read more - https://aka.ms/AzureOpen-AI How do you think a Start-up will be benefited from this session? Start-ups can greatly benefit from this session by gaining the knowledge to integrate Azure OpenAI Service into their products. This capability allows start-ups to enhance their offerings with powerful AI-driven features such as natural language processing, automated content generation, and intelligent data analysis. Leveraging Azure's scalable and cost-efficient AI services, start-ups can focus on innovation and quickly bring AI-enhanced products to market, gaining a competitive edge without the need for extensive AI expertise or infrastructure investments. The session will focus on: Creating an Azure OpenAI Service resource: Learn how to set up and configure your Azure OpenAI Service. Understanding Azure OpenAI base models: Gain insights into different types of base models available in Azure OpenAI. Using Azure OpenAI Studio: Explore how to deploy base models and test them using Azure OpenAI Studio's playgrounds. Generating completions and managing model parameters: Discover how to use prompts to generate responses and adjust model parameters for optimal performance. What will the attendees or a Start-up learn from the session? Attendees, including start-ups, will learn: How to create and manage Azure OpenAI Service resources effectively. The different types of Azure OpenAI base models and their applications. How to use the Azure OpenAI Studio, console, and REST API for deploying and testing models. Techniques for generating prompt completions and fine-tuning model parameters to suit specific use cases. This session will empower attendees to incorporate advanced AI capabilities into their applications, enabling them to build innovative solutions that can understand and generate human-like text, thereby transforming user experiences and business processes. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

Description of Your Session: Delve into the art of prompt engineering with Azure OpenAI Service. This session is crafted to equip engineers and developers with the techniques to design effective prompts, enhancing the accuracy and relevancy of responses generated by Azure OpenAI models. Participants will learn how to optimize prompts, include clear instructions, and use contextual content to maximize model performance. By the end of this session, attendees will be skilled in creating prompts that leverage Azure's AI capabilities to their fullest potential. Read more -https://aka.ms/OpenAI.Service How do you think a Start-up will be benefited from this session? Start-ups can significantly benefit from this session by learning how to fine-tune their use of Azure OpenAI models through effective prompt engineering. This knowledge enables start-ups to create more accurate and relevant AI-driven features in their products, such as customer service bots, content creation tools, and data analysis applications. By optimizing prompt design, start-ups can reduce development time, improve user satisfaction, and innovate faster, maintaining a competitive edge in the market without requiring deep AI expertise. The session will focus on: Understanding Prompt Engineering: Learn the fundamentals of prompt engineering and its importance in optimizing AI model performance. Writing More Effective Prompts: Discover techniques to design prompts that yield more accurate and relevant responses from AI models. Providing Context to Improve Accuracy: Explore methods to include clear instructions and contextual content in prompts to enhance the quality of model responses. Exercise - Utilize Prompt Engineering in Your Application: Engage in a hands-on exercise to apply prompt engineering techniques in a real-world scenario. What will the attendees or a Start-up learn from the session? Attendees, including start-ups, will learn: The fundamentals of prompt engineering and its significance in AI model optimization. How to design and optimize prompts to achieve better AI model performance. Techniques to include clear instructions and contextual content in prompts to enhance response quality. Practical application of prompt engineering in real-world scenarios, empowering them to build innovative AI solutions that improve user experiences and business processes. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

In this session, we will take a deep dive into Azure AI Studio and explore advanced techniques in prompt engineering. Building on the foundational concepts from previous sessions, this session aims to provide engineers and developers with in-depth knowledge of how to leverage Azure AI Studio for more complex scenarios. Additionally, we will showcase how to interact with Azure OpenAI using Postman, C#, and Python, providing practical examples to demonstrate seamless integration with different development environments. By the end of this session, participants will be equipped to tackle sophisticated AI challenges, improving the effectiveness of AI solutions in their applications. Read More: https://aka.ms/GetstartedwithAzure https://aka.ms/PromptEngineering-Azure How do you think a Start-up will be benefited from this session? Start-ups can benefit from this session by gaining the skills to utilize Azure AI Studio for advanced AI model management and testing, allowing them to develop and iterate on AI-driven features more efficiently. The session's focus on interacting with Azure OpenAI using Postman, C#, and Python offers start-ups versatile tools and techniques to integrate AI capabilities into their applications across different tech stacks. This knowledge empowers start-ups to innovate faster, improve product functionality, and maintain a competitive edge. The session will focus on: Advanced Azure AI Studio Features: Learn how to manage, deploy, and test AI models in Azure AI Studio for more complex use cases. Advanced Prompt Engineering Techniques: Explore sophisticated techniques in prompt engineering, including multi-turn prompts and dynamic context management. Interacting with Azure OpenAI: Using Postman: Step-by-step guide to setting up and making API calls to Azure OpenAI with Postman. Using C#: How to integrate and interact with Azure OpenAI in C# applications. Using Python: Practical demonstration of using Python to interact with Azure OpenAI for various AI tasks. Hands-on Exercise: Apply advanced prompt engineering methods within Azure AI Studio to solve real-world challenges. What will the attendees or a Start-up learn from the session? Attendees, including start-ups, will learn: How to utilize advanced features of Azure AI Studio for managing and testing AI models in complex scenarios. Advanced prompt engineering techniques that improve the accuracy and relevancy of AI model outputs. Practical skills to interact with Azure OpenAI using Postman, C#, and Python, enabling seamless integration with various applications. Real-world applications of advanced prompt engineering within Azure AI Studio, helping to build refined and effective AI-driven solutions. This session will empower participants to take full advantage of Azure's AI tools, helping them build, integrate, and deploy cutting-edge AI solutions that can transform user experiences and business processes. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

Generative AI has the potential to create innovative and engaging content, but it is essential to implement it responsibly to avoid generating harmful or inappropriate content. In this session, we will guide you through the best practices for planning and operating a responsible generative AI solution using Azure OpenAI. You will learn how to identify, measure, and mitigate potential harms, ensuring that your AI models align with ethical standards. Additionally, we will explore the DALL-E model within Azure AI Studio, showcasing how to generate original images from natural language prompts. By the end of this session, you will be equipped to build and manage generative AI solutions that are both creative and responsible. Read More: https://aka.ms/AI-Service https://aka.ms/Generative-AI How do you think a Start-up will be benefited from this session? Start-ups can benefit from this session by learning how to harness the power of generative AI, such as DALL-E, while ensuring ethical and responsible implementation. This knowledge will help start-ups create innovative products that generate creative content, such as images, while minimizing the risk of harmful or inappropriate outputs. By focusing on responsible AI practices, start-ups can build trust with their users, reduce potential liabilities, and stand out in a competitive market by offering AI-driven features that are both cutting-edge and ethically sound. The session will focus on: Planning a Responsible Generative AI Solution: Learn how to design generative AI systems with responsibility in mind, from the initial concept to deployment. Identifying Potential Harms: Understand the types of harmful content that generative AI might produce and how to recognize these risks early in the development process. Measuring and Mitigating Harms: Discover techniques to assess the potential impact of harmful content and implement strategies to mitigate these risks effectively. Operating a Responsible Generative AI Solution: Explore ongoing practices for monitoring and managing generative AI systems to ensure they remain safe and effective over time. Exercise - Explore Content Filters in Azure OpenAI: Hands-on experience in using Azure OpenAI's content filtering features to safeguard against harmful outputs. Introduction to DALL-E: Get an overview of the DALL-E model and its capabilities in generating original images from text descriptions. Exploring DALL-E in Azure AI Studio: Learn how to work with DALL-E within Azure AI Studio, including setting up and managing the model. Using the Azure OpenAI REST API to Consume DALL-E Models: Step-by-step guide to integrating DALL-E into your applications using the Azure OpenAI REST API. Exercise - Generate Images with a DALL-E Model: Practical exercise to generate and refine images using DALL-E in Azure AI Studio. What will the attendees or a Start-up learn from the session? How to plan, identify, and mitigate risks associated with generative AI to ensure responsible AI implementations. Best practices for operating and managing generative AI solutions to maintain ethical standards and minimize potential harm. How to utilize DALL-E within Azure AI Studio to generate creative images from natural language prompts. Practical skills for integrating DALL-E models into applications using the Azure OpenAI REST API, enabling the creation of innovative AI-driven content. Hands-on experience in using content filters to safeguard against harmful outputs, ensuring that generative AI models produce safe and appropriate content. This session will empower participants to develop and deploy generative AI solutions that are not only innovative but also align with ethical practices, enhancing both the functionality and reputation of their AI-driven products. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

In this session, we will explore how to build natural language solutions with the Azure OpenAI Service. You will learn how to integrate Azure OpenAI into your applications, understand the different available endpoints, and generate completions to prompts using both the REST API and language-specific SDKs like Python or C#. This session includes practical exercises to help you get hands-on experience with Azure OpenAI, making it easier to apply these skills in real-world scenarios. Learn Module - https://aka.ms/Natural-Language-Solutions How do you think a Start-up will be benefited from this session? Start-ups can benefit from this session by learning how to integrate cutting-edge natural language processing (NLP) capabilities into their applications using Azure OpenAI Service. By leveraging generative AI tools, they can enhance user experiences, automate content creation, and streamline operations. This session also covers efficient use of REST APIs and SDKs, which can help start-ups build scalable and innovative AI-driven products while reducing development time. The session will focus on: Integrating Azure OpenAI: Learn how to incorporate Azure OpenAI into your applications for seamless AI integration. Differentiating Endpoints: Understand the different available endpoints in Azure OpenAI and how they can be utilized effectively. Generating Completions with REST API and SDKs: Discover how to generate AI completions to natural language prompts using the REST API or language-specific SDKs, including Python and C#. Hands-on Exercise: Participants will integrate Azure OpenAI into their own applications during the session. What will the attendees or a Start-up learn from the session? Have a solid understanding of how to integrate Azure OpenAI Service into their apps. Be able to differentiate between different Azure OpenAI endpoints and understand their specific use cases. Gain practical experience in generating completions using the REST API and Azure OpenAI SDKs. Understand how to apply Azure OpenAI’s generative AI features in real-world applications, enhancing automation and content creation capabilities. This session will empower developers, AI engineers, and start-ups to leverage Azure's natural language AI services effectively and efficiently. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

In this session, we will explore how to leverage Azure OpenAI Service to generate and improve code using natural language prompts. You'll learn how to use the service to assist in code creation, unit test generation, and documentation. We will also cover how to utilize Azure OpenAI's REST API and SDKs to implement these capabilities into your development environment, reducing manual effort while enhancing code quality and productivity. This session includes practical exercises to help participants apply these concepts hands-on. Read More- https://aka.ms/Azure-Open-AIService How do you think a Start-up will be benefited from this session? Start-ups can benefit from this session by discovering how to streamline their development processes with Azure OpenAI Service. By using AI to generate code, improve existing code, and automate repetitive coding tasks, start-ups can accelerate product development. The session will also show how to efficiently use the REST API and SDKs, helping start-ups reduce their time to market, improve code quality, and enhance team productivity through automation. The session will focus on: Using Natural Language for Code Generation: Learn how to convert natural language prompts into functional code. Improving Code with AI: Discover how to debug, enhance, and optimize existing code using Azure OpenAI's AI models. Automating Unit Test Creation and Documentation: Understand how to automatically generate unit tests and documentation, improving code coverage and quality. Hands-on Exercise: Participants will practice generating and refining code using Azure OpenAI's capabilities during the session. What will the attendees or a Start-up learn from the session? How to use Azure OpenAI Service to generate functional code from natural language prompts. The ability to enhance and improve their code through AI-driven tools, reducing the manual debugging process. Practical experience in automating the generation of unit tests and documentation. How to integrate Azure OpenAI’s REST API and SDKs to streamline coding workflows in real-world applications, reducing development time while maintaining high standards of code quality. This session will empower developers, AI engineers, and start-ups to harness Azure OpenAI’s code generation and improvement features, boosting productivity and innovation. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

In this session, we will dive into implementing Retrieval-Augmented Generation (RAG) using Azure OpenAI Service, a technique that enhances model responses by grounding them in specific, custom data sources. You’ll learn how to set up RAG in Azure OpenAI, configure data sources for enhanced response accuracy, and interact with models using API calls to deliver data-informed responses. Hands-on exercises will allow participants to practice integrating RAG with their applications, streamlining knowledge retrieval and improving response relevance. Read More - https://aka.ms/OpenAI-RAG How do you think a Start-up will be benefited from this session? Start-ups can benefit by understanding how to use RAG to enhance their AI’s capabilities with data-grounded responses. With RAG, start-ups can make AI interactions more reliable by referencing up-to-date, relevant data, enabling faster, more accurate customer support, improved decision-making, and streamlined knowledge management. The session will also cover best practices for API and SDK integration, showing how to leverage RAG for efficient data retrieval, helping start-ups reduce operational costs and increase productivity. The session will focus on: Introduction to RAG in Azure OpenAI: Understanding the concept and benefits of Retrieval-Augmented Generation. Configuring Azure OpenAI with Your Data: Learn how to add and manage custom data sources. Using APIs for Data-Informed Interactions: Discover how to query models with your data for more accurate responses. Hands-on Exercise: Participants will practice configuring and using RAG with Azure OpenAI for improved application response quality. What will the attendees or a Start-up learn from the session? How to set up RAG using Azure OpenAI and integrate custom data sources. Techniques for enhancing response relevance by grounding AI interactions in reliable data. Practical skills in configuring and using Azure OpenAI API for data-informed model responses. How to utilize RAG to improve AI reliability, leading to faster customer service and better knowledge management. Best practices for API and SDK integration to maximize RAG’s benefits in real-world applications, helping teams optimize productivity and improve AI solution quality. This session equips developers, solution architects, and start-ups to leverage RAG with Azure OpenAI, advancing their AI solutions to provide high-quality, data-augmented responses. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

11:30 AM - 12:30 PM (UTC)

In this session, we’ll explore the Azure AI Language Service and its capabilities in extracting semantic information from text. Attendees will learn how to implement text analytics features like language detection, sentiment analysis, key phrase extraction, and entity recognition. This session includes practical examples of how to integrate Azure’s language processing APIs in your applications to automate text insights, optimize data processing, and enhance user experiences. Interactive exercises will give participants hands-on experience in setting up and using the Azure AI Language service to improve content understanding and response accuracy. Learn More- https://aka.ms/Analyzetext How do you think a Start-up will be benefited from this session? Start-ups can benefit by automating their text analysis processes with Azure AI Language. Using this service enables start-ups to gain quick, actionable insights from customer feedback, social media data, and support tickets. The session demonstrates how to use language models for data-driven decisions, such as tracking customer sentiment and extracting critical information, helping to streamline operations and improve customer engagement. Attendees will also learn best practices for API integration, enabling faster time-to-market for AI-enhanced solutions that scale with business needs. The session will focus on: Understanding Azure AI Language Service: An overview of the text analysis capabilities and use cases in modern applications. Provisioning and Configuring Language Resources: Steps to set up and customize Azure AI Language resources. Text Analytics Functions: Detecting language, analyzing sentiment, and extracting key phrases and entities. Hands-on Exercise: Participants will practice implementing these features to analyze text, generating insights in real-time. What will the attendees or a Start-up learn from the session? Techniques for implementing language detection, sentiment analysis, and entity recognition in applications. Practical experience in using Azure AI Language APIs to analyze and categorize text data. Skills for automating text insights extraction, reducing manual data analysis efforts. Knowledge of best practices for integrating the Azure AI Language service to optimize AI-driven solutions and improve data understanding in real-world applications. This session equips developers, AI engineers, and start-ups with tools to transform unstructured text data into structured, actionable insights, enhancing data-driven decision-making and customer engagement. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

10:00 AM - 11:00 AM (UTC)

In this session, we’ll delve into the Azure AI Language service and its powerful capabilities for creating question answering solutions. Attendees will learn how to build intelligent applications where users can interact with the system using natural language to ask questions and receive accurate answers. The session covers essential features such as knowledge base creation, multi-turn conversation management, and active learning. Through practical examples and hands-on exercises, participants will gain experience in setting up, testing, and deploying a question answering system using Azure’s language processing APIs. This will enable attendees to enhance user engagement, automate customer service, and streamline data-driven decision-making. Read More - https://aka.ms/Azure-AILanguage How do you think a Start-up will be benefited from this session? Start-ups can significantly benefit from integrating question answering capabilities into their applications. This session teaches how to leverage Azure AI Language to build a cost-effective, scalable solution that automates the process of answering customer queries and retrieving essential information. Start-ups will learn best practices for setting up and managing a knowledge base, enhancing their ability to make data-driven decisions, track customer sentiment, and provide timely responses. This session provides valuable insights into integrating AI into their offerings, leading to better user experiences and operational efficiencies. The session will focus on: Understanding Question Answering with Azure AI Language: An overview of the capabilities and applications of question answering in Azure AI. Creating and Configuring a Knowledge Base: Step-by-step instructions for setting up a knowledge base in Azure, including how to structure and populate it with relevant information. Implementing Multi-turn Conversations: Techniques for managing multiple interactions and maintaining context during conversations. Active Learning: How to continuously improve the performance of the question answering system based on user feedback. Hands-on Exercise: Participants will practice setting up a question answering solution, creating a knowledge base, testing it, and interacting with it using natural language queries. What will the attendees or a Start-up learn from the session? Attendees, including start-ups, will gain the following: Skills to set up and configure a question answering solution using Azure AI Language. Techniques for implementing multi-turn conversations to maintain context and improve user interactions. How to use active learning to enhance the quality and accuracy of answers based on feedback. Practical experience with Azure AI’s question answering capabilities for automating customer service and improving data-driven decisions. Knowledge of best practices for integrating Azure AI Language into their applications to optimize AI-driven solutions and enhance customer engagement. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning, .NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

10:00 AM - 11:00 AM (UTC)

In this session, we will explore the Azure AI Language conversational language understanding service (CLU) and its capabilities in building intelligent models that can extract meaning from natural language. Attendees will learn how to train, test, and deploy a conversational model that can understand user inputs and provide relevant responses. This session covers essential topics such as defining intents, using patterns to differentiate similar utterances, and leveraging pre-built entity components. Practical examples and hands-on exercises will give participants valuable experience in setting up, testing, and refining a conversational model using Azure AI’s capabilities. Read More - https://aka.ms/AILanguage How do you think a Start-up will be benefited from this session? Start-ups can greatly benefit from incorporating conversational language understanding into their applications. This session demonstrates how to utilize Azure AI CLU to create models that can handle customer interactions, automate support, and improve user engagement. Attendees will learn best practices for defining intents, using patterns, and leveraging pre-built entities, enabling them to develop efficient and effective conversational AI solutions. This session equips start-ups with the knowledge to deploy scalable AI-driven solutions that adapt to evolving business needs and enhance customer experience. The session will focus on: Understanding the prebuilt capabilities of the Azure AI Language service: An overview of the language understanding features and their applications in modern conversational models. Understanding resources for building a conversational language understanding model: Setting up and configuring Azure resources to support conversational AI. Defining intents, utterances, and entities: How to specify the purpose of a conversation, the words that users might say, and the entities they may refer to. Using patterns to differentiate similar utterances: Techniques for managing variations in user input to ensure accurate understanding. Using pre-built entity components: Leveraging existing entities like dates, times, numbers, and places for enhanced language understanding. Training, testing, publishing, and reviewing a conversational language understanding model: Step-by-step process for setting up and refining a conversational model, including evaluation and deployment. Hands-on Exercise: Participants will practice building and testing a conversational model in Azure, focusing on creating intents, entities, and utilizing patterns to handle different utterances. What will the attendees or a Start-up learn from the session? Attendees, including start-ups, will gain the following: Skills for setting up Azure resources necessary for building conversational language models. Techniques for defining and managing intents, utterances, and entities to tailor the model’s understanding. How to use patterns to manage varied user inputs and ensure the model's accuracy. Practical experience with Azure AI CLU to train, test, and deploy conversational models. Knowledge of pre-built entity components that simplify the model-building process and enhance understanding. Best practices for evaluating and refining a conversational model to improve performance and user experience. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning,.NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore

10:00 AM - 11:00 AM (UTC)

This session explores building custom text classification models using Azure AI Language. Attendees will learn how to create projects, tag data, train models, and deploy them for use in applications. We'll cover different types of classification projects and provide practical exercises to build hands-on experience. Read More - https://aka.ms/Textclassification How do you think a Start-up will be benefited from this session? Start-ups can leverage custom text classification to automate various tasks, including: Customer support: Automatically categorize incoming support tickets based on topic or urgency. Market research: Analyze customer feedback, social media posts, and online reviews to understand market trends and sentiment. Content moderation: Filter inappropriate or offensive content on their platforms. Lead qualification: Classify leads based on their likelihood of conversion. This session empowers start-ups to build cost-effective solutions for these tasks, improving efficiency and providing valuable insights. The session will focus on: Understanding the prebuilt capabilities of the Azure AI Language service: An overview of the language understanding features and their applications in modern conversational models. Understanding resources for building a conversational language understanding model: Setting up and configuring Azure resources to support conversational AI. Defining intents, utterances, and entities: How to specify the purpose of a conversation, the words that users might say, and the entities they may refer to. Using patterns to differentiate similar utterances: Techniques for managing variations in user input to ensure accurate understanding. Using pre-built entity components: Leveraging existing entities like dates, times, numbers, and places for enhanced language understanding. Training, testing, publishing, and reviewing a conversational language understanding model: Step-by-step process for setting up and refining a conversational model, including evaluation and deployment. Hands-on Exercise: Participants will practice building and testing a conversational model in Azure, focusing on creating intents, entities, and utilizing patterns to handle different utterances. What will the attendees or a Start-up learn from the session? Attendees, including start-ups, will gain the following: Skills to create and manage custom text classification projects in Azure AI Language. Knowledge of different classification types and how to choose the right approach. Practical experience in tagging data and training effective classification models. Understanding of model evaluation metrics and how to improve model performance. Ability to deploy and integrate classification models into their applications. Ability to automate text processing tasks for increased efficiency and valuable insights. Speaker BIO- Viswanatha Swamy He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning,.NET Core, and Docker. He loves to learn about new technologies. Social Handle- https://twitter.com/vishipayyallore