¡Únete al Microsoft Learn AI Skills Challenge y aprende con las charlas de Learn Live!

This post has been republished via RSS; it originally appeared at: New blog articles in Microsoft Community Hub.

Todas las semanas desde el 20 de marzo al 18 abril acompáñanos en este viaje emocionante de aprendizaje con nuestra serie interactiva en vivo en la que estarás en compañía de expertos y programadores de todo el mundo. Aprende con nuestros módulos de Microsoft Learn en tiempo real, adquiriendo no solo conocimientos, sino también badges (insignias digitales). ¡Prepárate para las certificaciones, todo mientras aprendes en vivo!
 
Regístrate ahora en: https://aka.ms/AISkillsChallenge para una experiencia de autoaprendizaje y obtener la posibilidad de presentar gratis un examen de certificación de Microsoft (límite de uno por cliente, se aplican términos y condiciones).
 
Únete a esta serie de charlas en vivo en https://aka.ms/ai-skills-challenge-learn-live para obtener más conocimientos sobre Inteligencia Artificial y otras áreas de interés de la mano de expertos. Si te perdiste alguna charla, recuerda que las puedes ver en nuestro canal de YouTube.
 
Esta serie está enfocada en el revolucionario mundo de la IA generativa y su aplicación en diversos entornos empresariales. Es una oportunidad para:
  • los emprendedores de IA que crean estrategias comerciales
  • los científicos de datos que profundizan en los grandes modelos de lenguaje (LLM)
  • los desarrolladores de software que diseñan soluciones de generación aumentada de recuperación (RAG).

 

Primeros pasos con la IA generativa

Microsoft Learn AI Cloud Skills Challenge bannerMicrosoft Learn AI Cloud Skills Challenge banner

Tendremos 9 charlas y talleres en vivo entre el 20 de marzo y el 18 de abril para aprender más sobre el potencial de la IA generativa en diferentes áreas profesionales. Los Microsoft MVP, Microsoft Cloud Advocates y MLSA te guiaran durante este trayecto para que comiences tu viaje hacia la IA generativa. Puedes encontrar las sesiones:

 

Charla Descripción Ponentes y Moderadores

Use Generative AI to ideate your startupLearn Live: Use Generative AI to ideate your startup - YouTube

Use Generative AI (Bing Chat, GPT-4) to Create the perfect idea for your Startup or business. In this session, you'll develop the following skills that can be used in your everyday interaction with Generative AI. In this episode, you will:
  • Utilizing the various features or capabilities of Copilot with Bing
  • Utilizing multi-modal features of Bing Copilot with Bing
  • Prompt writing tips and techniques
  • Practice your Critical/ Creative Thinking with Copilot with Bing
  • Researching with Copilot with Bing
  • Applying format and tone to Generative AI Models
 

Using Generative AI for prototyping and MVP creation Learn Live: Using Generative AI for prototyping and MVP creation (youtube.com)

In this challenge project, Copilot with Bing guides you on how to create prototypes/ mock-ups of your solution and on implementing the project. In this episode, you will:
  • Develop the following skills
  • Lateral thinking
  • Visual reading
  • Out-of-the-box thinking
  • Problem-solving
  • Artistic creativity, and Analytical mind

Speakers: Lee StottNehemiah Emmanuel

Moderator: Meerali Naseet 

Use Generative AI to create a Business Model for your startup

Use Generative AI (Copilot with Bing, GPT-4) to Create a Business Model for your Startup or business. In this episode, you will:
  • Utilizing the various features or capabilities of Copilot with Bing
  • Utilizing multi-modal features of Copilot with Bing
  • Prompt writing tips and techniques
  • Practice your Critical/ Creative Thinking with Copilot with Bing
  • Researching with Copilot with Bing
  • Applying format and tone to Generative AI Models

Speakers: John Aziz , Luis Beltran  

Moderator: Doher Drizzle Pablo

Work with generative AI model in Azure AI Studio

Learn about the history of natural language processing (NLP), including how the Transformer architecture revolutionized the field and helped us create large language models (LLMs). Work with LLMs in Azure Machine Learning through the foundation models in the model catalog. Then, train a pretrained Large Language Model (LLM) on specific tasks. The model catalog in Azure Machine Learning offers many open source models that can be fine-tuned for your specific task. In this episode, you will:
  • Understand the developments that have led to large language models.
  • Explore the different types of foundation models available in the model catalog.
  • Deploy and test a foundation model.
  • Explore foundation models in the model catalog.
  • Fine-tune a foundation model using the Azure Machine Learning studio.
  • Evaluate and deploy a fine-tuned model using the Azure Machine Learning studio.

Speakers: Mary-Jo Diepeveen,  Korey Stegared-Pace

Moderator: Shivam Goyal

Get started with prompt flow to develop Large Language Model (LLM) apps

Learn about how to use prompt flow to develop applications that leverage language models in the Azure AI Studio (preview). In this episode, you will:
  • Understand the development lifecycle when creating language model applications.
  • Understand what a flow is in prompt flow.
  • Explore the core components when working with prompt flow.

Speakers: Mary-Jo Diepeveen, Valentina Alto

Moderator:  Elkhan Yusubov

Train a model and debug it with Responsible AI dashboard

Learn how to debug an AI model using the Responsible AI dashboard in Azure Machine Learning studio to ensure it performs responsibly and is less harmful. In this episode, you will:
  • Create a responsible AI dashboard.
  • Identify where the model has errors.
  • Discover data over or under representation to mitigate biases.
  • Understand what drives a model outcome with explainable and interpretability.
  • Mitigate issues to meet compliance regulation requirements.

Speakers: Nitya Narasimhan , Ruth Yakubu 

Moderator: Cynthia Zanoni

Learn How to interact with OpenAI models

Azure OpenAI Service provides access to OpenAI's powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this episode, you will:
  • Describe GPT model capabilities and implementation
  • Understand prompt engineering concepts and best practices
  • Apply prompt engineering techniques to your own generative AI solutions

Speakers: Vidushi Gupta, Bethany Jepchumba

Moderator: Rodigo Kono

Developing a production-level RAG workflow

This episode teaches you how to build, run, evaluate, deploy, and use, an LLM application with Retrieval Augmented Generation. We'll walk you through the end-to-end development process from prompt engineering to LLM Ops with step-by-step instructions all the way. In this episode, you will:
  • Build Contoso Chat, a customer service AI application for the Contoso Outdoors company website.
  • Use Azure AI Studio and Prompt Flow to streamline LLMOps from ideation to operationalization!

Speakers: Carlotta Castelluccio , Graeme Malcolm

Moderator: Hamid Sadeghpour Saleh

Create an Azure AI Search solution:

Use Azure AI Search to make your data searchable. Then unlock the hidden insights in your data with Azure AI Search. In this episode, you will:
  • Explore Azure AI Search
  • Create an Azure AI Search index
  • Import data to the index
  • Query the Azure AI Search index
  • Create an Azure AI Search solution
  • Develop a search application

Speakers: Ivor BerryRaffaele Rialdi 

Moderator: Viswanatha Swamy

 

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