Learn Live: Microsoft Learn AI Skills Challenge

This post has been republished via RSS; it originally appeared at: Microsoft Tech Community - Latest Blogs - .

Every week starting March 20 to April 18 join us as we embark on a thrilling journey of discovery and learning with our live, interactive series where you'll be in the company of experts and fellow developers from across the globe. Dive into our Learn modules and engage in real-time, gaining not only knowledge but also badges and prepare for certifications—all while learning live.
Register NOW at https://aka.ms/AISkillsChallenge for a self-learning experience and become eligible for a free Microsoft Certification exam (limit one per customer, terms and conditions apply).  
Join an interactive Live Streaming series at https://aka.ms/ai-skills-challenge-learn-live to get the precious guidance of Subject Matter Experts. 

 

This series is a deep dive into the revolutionary world of Generative AI and its application in diverse business environments. It's an opportunity for AI entrepreneurs crafting their business strategies, data scientists delving into Large Language Models (LLMs), and software developers engineering Retrieval-Augmented Generation (RAG) solutions. We provide a comprehensive guide to the most effective tools within the Azure AI platform and the broader Microsoft ecosystem, empowering you to spearhead the AI revolution in your field. You'll discover what are the most suitable tools for you in the Azure AI platform and Microsoft ecosystem to implement your solution and how to leverage them to lead the AI transformation. Join us and be part of a movement shaping the future of technology and business.
 

Getting started with Generative AI

 

carlottacaste_1-1710502631069.png

 

We will have 9 livestreams between 20 March to 18 April to learn more about the transformative potential of Generative AI across various business scenarios. These will include a lineup of speakers from MVPs, Microsoft Cloud Advocates and MLSAs to get you started in your Generative AI journey. You can find the session as follows:

 

 
Session
Time zone PST

Use Generative AI to ideate your startup:

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

Speakers: Yuri Achermann, Chanchal Kuntal 

Moderator: Carlotta Castelluccio

 

Using Generative AI for prototyping and MVP creation

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

April 11, 2024 @ 8 AM Pacific

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

 

April 17, 2024 @ 8 AM Pacific

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

 

Join us to connect and grow with an enthusiastic community passionate about AI. Reserve your free seat at https://aka.ms/ai-skills-challenge-learn-live to kick-off your journey.
To immerse yourself in a full learning experience, make sure you also join the Microsoft Learn AI Skills Challenge  and become eligible for a free Microsoft Certification exam (limit one per customer, terms and conditions apply).  
 
Happy learning, happy skilling!

Leave a Reply

Your email address will not be published. Required fields are marked *

*

This site uses Akismet to reduce spam. Learn how your comment data is processed.