Join us for an immersive 2-day workshop where you will explore the cutting-edge capabilities of Azure AI Studio and learn how to harness the power of generative AI to create transformative applications. This workshop is designed for developers, data scientists, and AI enthusiasts eager to dive deep into the world of Azure AI and emerge with the skills to build, deploy, and manage AI-driven projects.

Day one kicks off with an introduction to Azure AI Studio, guiding you through the environment setup and project creation. You'll get hands-on experience with Azure OpenAI Assistants and learn how to build a simple chatbot. The second day advances into complex prompt flows, text and image moderation, and the integration of GPT-4 Turbo with Vision. You'll also gain insights into Azure AI Studio's architecture, security, and best practices for deployment.

Whether you're looking to innovate in your current role or seeking to expand your AI expertise, this workshop offers a unique opportunity to learn from Azure AI expert and collaborate with peers. By the end of the workshop, you'll have a solid understanding of Azure AI's features and how to apply them to real-world scenarios, ensuring you're well-equipped to lead the charge in the AI revolution.

Agenda:

Day 1: Introduction to Azure AI Studio and Generative AI Applications

Morning Session:
- Welcome and Introduction to Azure AI Studio
- Overview of Azure AI Services and Capabilities
- Setting up the Environment: Azure AI SDK and CLI
- Hands-on: Creating Your First Project in Azure AI Studio

Afternoon Session:
- Deep Dive into Prompt Flow and RAG
- Building Generative AI Applications: Best Practices
- Collaborative Development in Azure AI Hub
- Hands-on: Building a Simple Chatbot with Azure OpenAI Assistants

Day 2: Advanced Features and Deployment

Morning Session:
- Advanced Prompt Flow Techniques
- Utilizing Azure AI for Text and Image Moderation
- Integrating GPT-4 Turbo with Vision in Your Applications
- Hands-on: Deploying a Web App for Chat

Afternoon Session:
- Azure AI Studio Architecture and Security
- Role-Based and Attribute-Based Access Control
- Pricing, Billing, and Region Availability
- Hands-on: Iterating from Prototype to Production Deployment

Each session will include a mix of presentations, demonstrations, and hands-on labs to ensure participants gain practical experience. The workshop will conclude with a Q&A session, allowing attendees to discuss their specific use cases and receive guidance from Azure AI expert.

Learning objectives:

- Understand the Core Concepts of Azure AI Studio: Gain a comprehensive understanding of Azure AI Studio's capabilities, including prompt flow, RAG, and the integration of various AI services.
- Develop Skills in Building Generative AI Applications: Learn how to create generative AI applications using Azure AI Studio, focusing on best practices for development and deployment.
- Master the Use of Azure OpenAI Assistants: Acquire hands-on experience with Azure OpenAI Assistants to build and deploy conversational AI models.
- Explore Advanced Azure AI Features: Dive into advanced features such as text and image moderation, GPT-4 Turbo with Vision, and understand how to apply these in practical scenarios.
- Learn Azure AI Deployment and Security Best Practices: Understand the architectural framework of Azure AI Studio, including security measures, role-based and attribute-based access control, and strategies for effective deployment and monitoring of AI applications.

Technical Prerequisites:

- An active Azure subscription. If you do not have one, you can sign up for a free trial.
- Azure CLI and Azure AI SDK installed on your laptop.
- Familiarity with basic command-line interface (CLI) commands and operations.
- Basic understanding of Python programming and experience with any integrated development environment (IDE) like Visual Studio Code, PyCharm, or Jupyter Notebooks.
- Git installed for version control and collaboration.

Participants are encouraged to set up their environment prior to the workshop to maximize hands-on learning time. Detailed setup instructions and support will be provided upon registration.