3:00 PM - 4:00 PM (UTC)

This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series What is this session about? In this session, we will cover the basics of artificial intelligence and Azure. We will discuss the key concepts of machine learning, computer vision, natural language processing, and conversational AI, and explore how they are implemented in Azure. Who is it aimed at? The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems. Why should members attend? By the end of the session, you will have a foundational understanding of AI and its applications and be familiar with the key Azure AI services. Continue the learning journey: Get started with AI on Azure Speaker: Bethany Jepchumba Bethany is a Cloud Developer Advocate at Microsoft passionate about Data Science, Artificial Intelligence and Machine Learning. Prior to joining the role, she was a Gold Microsoft Learn Student Ambassador.

3:00 PM - 4:00 PM (UTC)

This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series What is this session about? In this session, we will dive deeper into machine learning and explore how to build and deploy machine learning models using Azure. We will cover the data preparation process, several types of machine learning algorithms, and how to evaluate and deploy your models in Azure. Who is it aimed at? The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems. Why should members attend? By the end of the session, you will have a solid understanding of the machine learning process and how to use Azure to build and deploy your own models. Continue the learning journey: Microsoft Azure AI Fundamentals: Explore visual tools for machine learning Speaker: Josh Ndemenge Josh is a Cloud Developer Advocate at Microsoft in the Data Engineering and Analytics team with experience in data tools having spent his early career days in the IoT (internet of things) & AI (artificial intelligence) space. He is a passionate community tech lead who is passionate to teach and guide individuals interested in tech, especially around Data and Cloud Computing.

3:00 PM - 4:00 PM (UTC)

This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series What is this session about? In this session, we will explore how to build and deploy a predictive model using Azure Copilot and Codespaces. We will cover the key steps involved in the model development process, such as data preparation, feature engineering, and model training. Who is it aimed at? The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems. Why should members attend? By the end of the session, you will have a better understanding of how to use these tools to streamline your machine learning workflow and improve your productivity. Continue the learning journey: GitHub fundamentals - Administration basics and product features. Speaker: Vlad Iliescu By day I work at Strongbytes as Head of AI, and by night I’m building NRGI.ai – an upcoming B2B energy marketplace powered by a proprietary AI forecasting engine. The rest of the time I’m a Microsoft Most Valuable Professional on AI, play the ukulele with a vengeance, and occasionally blog about life, the universe and software development.

3:00 PM - 4:00 PM (UTC)

This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series What is this session about? Handyman is an AI translator assistant that automatically detects your text language and translates it to another built with Azure Translator service and Streamlit.In this session Bunmi will show you how she built Handyman and how you can also leverage Azure Cognitive Services in your applications. Who is it aimed at? The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems. Why should members attend? By the end of this session, you will be able to understand how you can build an end-to-end AI Translator with Azure Continue the learning journey: [Translate text and speech](Translate text and speech - Training | Microsoft Learn) Speaker: Bunmi Akinremi Bunmi Akinremi is a Gold Microsoft Learn Student Ambassador and a Machine Learning Engineer, exploring how AI systems can be used to help farmers increase and monitor their crop yields. She is a passionate community leader and writer and loves participating in hackathons. She has been featured by different organizations as an Innovative Data Guru, Profile feature on KATO, and Miss Algorithm 2021. When she's not hacking or writing codes, you'll find her writing poems and taking photos of nature. [eventID:19001]

3:00 PM - 4:00 PM (UTC)

This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series What is this session about? In this session, we will explore how to build conversational AI applications using Azure services. We will discuss the benefits of using Azure services for building conversational AI applications and introduce the different Azure services. Who is it aimed at? The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems. Why should members attend? By the end of the session, you will have hands-on experience with building a conversational AI application using Azure Bot Service and Cognitive Services and be familiar with the key tools and processes involved in this process. Continue the learning journey: Build a bot with the Language Service and Azure Bot Service Speaker: Shashidhar Reddy Javaji Shashidhar Reddy Javaji is a driven and passionate Master's student in Computer Science at UMass Amherst, specializing in Data Science. With an insatiable curiosity for Artificial Intelligence, Machine Learning, and Natural Language Processing, Shashidhar has always been passionate about being part of tech communities and connecting with people. Shashidhar became a Microsoft Gold Student Ambassador in 2020, not just to gain knowledge and skills but also to network and connect with people who share his passion for technology. He believes that building meaningful connections within the tech community can lead to greater opportunities and growth for everyone involved. Throughout his academic career, Shashidhar has held several internships in machine learning, NLP, and data analysis, sharpening his skills and gaining hands-on experience. His research experience includes the publication of two conference papers related to AI, demonstrating his proficiency and expertise in the field. In addition to his academic achievements, Shashidhar is an accomplished and highly-regarded individual, having won several competitions and held leadership positions. He was the winner of the Megathon 2019, conducted by IIIT-Hyderabad, and also won the Smart India Hackathon 2020, India's biggest hackathon. He was the Qlik captain of Hyderabad for 2 years, showcasing his exceptional leadership skills. Beyond his technical abilities, Shashidhar is also an avid reader and chess player. He has a passion for traveling and exploring new places, which has given him a unique perspective on life and the world around him.

3:00 PM - 4:00 PM (UTC)

This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series What is this session about? In this session, we will explore how to use Azure Custom Vision to build computer vision applications. We will cover how to train a custom vision model, including how to upload and tag images, train and evaluate the model, and export it for deployment. Who is it aimed at? The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems. Why should members attend? By the end of the session, you will have hands-on experience with building a custom vision model using Azure Custom Vision. Continue the learning journey: Classify endangered bird species with Custom Vision Speaker: Ekaterina Marinova Ekaterina Marinova is a professional in the area of Data and AI , who is focusing on bringing technology closer to business. With a 3 year experience as an AI Microsoft MVP and currently a technology Consulting Manager for Accenture, she is actively exploring the opportunities and hidden treasures within the Artificial Intelligence World. Starting her career in Microsoft , and further working for partner companies and customers, Ekaterina has been building a holistic view of the AI applications from vendor to end customer perspective, to further working with students and communities. What she finds as the key to this world, would be sharing knowledge and building the proper AI ecosystem.

3:00 PM - 4:00 PM (UTC)

This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series What is this session about? In this session, we will explore how to use Azure Open AI Service to build natural language processing (NLP) applications. We will cover how to authenticate and authorize your application to use the Open AI Service, how to interact with the API to perform tasks such as text analysis, image recognition, and language understanding, and how to customize and extend the pre-built AI models using Azure Cognitive Services. Who is it aimed at? The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems. Why should members attend? By the end of the session, you will have hands-on experience with using the Azure Open AI Service to build intelligent applications that can perform complex tasks using pre-built AI models. Continue the learning journey: Introduction to Azure OpenAI Service Speaker: Oleksandr Krakovetskyi CEO at DevRain, Microsoft RD/AI MVP/Trainer 18 years of experience in IT as a software developer, architect, and C level executive. Oleksandr is a highly experienced IT professional with a wealth of knowledge and expertise in software development, architecture, and executive leadership. With over 18 years of experience in the industry, he has made a significant impact in the field of computer science and technology. Oleksandr holds a Ph.D. in Computer Science, which has enabled him to contribute significantly to the advancement of technology. He has worked with various companies across Europe and the United States, providing valuable advice and insights that have helped these organizations achieve their goals.

3:00 PM - 4:00 PM (UTC)

This session is part of Game of Learners Clinics for AI and ML Series, learn more and register for the events here: Game of Learners Clinics for AI and ML Series What is this session about? In this session, we will explore the ethical considerations surrounding the development and deployment of AI solutions. We will discuss issues such as bias, fairness, transparency, privacy, and security, and explore how to incorporate ethical considerations into the design and implementation of AI solutions. Who is it aimed at? The Game of Learners sessions are designed for students and individuals who are interested in learning about Azure AI and building end-to-end AI solutions. Whether you are new to AI or have some experience, these sessions will provide you with hands-on experience and practical knowledge of key AI concepts, tools, and processes. By the end of the sessions, you will be equipped with the skills and knowledge needed to build intelligent applications using Azure AI services, and have a better understanding of how to use AI to solve real-world problems. Why should members attend? By the end of the session, you will have a better understanding of the ethical issues surrounding AI and how to address them in your own work. Continue the learning journey: Responsible AI Speaker: Olanrewaju Oyinbooke Olanrewaju is a Senior Cloud Advocate for Power Platform, Data Science & ML, Modern Workplace, and Fusion Development with over 6 professional and freelancing experience in everything analytics, automation, and productivity. As a passionate Educator, Olanrewaju turned employees in his previous firm to students by organizing and nurturing two (2) communities; Data Science Community and Power User Group with monthly meetup and competing to build business solutions to showcase their skill. As a Community builder, Olanrewaju is part of the Power Platform Community leaders in Nigeria with several event organized and speaking engagements to his profile. He was an Ex-MVP (Business Application) and mentor to lots of people within and outside Nigeria. Olanrewaju has developed Machine Learning solutions in production today that have reduced costs, increased company's revenues and optimized lots of process with power-platform driven solutions at the enterprise level.