Enhance Your Business Processes with Custom Copilots | Azure AI Studio
The AI-3016: Develop Copilots with Azure AI Studio course is designed for data scientists and AI engineers who want to create custom AI copilots using Azure AI Studio. This advanced course provides a comprehensive exploration of Azure AI Studio, emphasizing the development of AI copilots. Participants will learn to harness the power of Azure AI Studio to create, manage, and deploy language model applications.
By mastering these skills, businesses can automate complex tasks, enhance user interactions, and improve decision-making processes. Implementing custom AI copilots can lead to more efficient operations, better customer service, and valuable insights from data.
Are you ready to explore the world of Azure AI Studio? Let’s get started!
Azure AI Studio Class Outline:
Module 1: Introduction to Azure AI Studio
- Overview of Azure AI Studio
- Core features and capabilities
- Provisioning and managing AI resources
Module 2: Explore and Deploy Models from the Model Catalog
- Exploring language models in the model catalog
- Deploying a model to an endpoint
- Improving the performance of a language model
Module 3: Get Started with Prompt Flow
- Understanding the development lifecycle of a large language model (LLM) app
- Core components and flow types
- Connections, runtimes, and monitoring options
Module 4: Build a RAG-Based Copilot Solution
- Grounding your language model
- Making your data searchable
- Building a copilot with prompt flow
Module 5: Integrate a Fine-Tuned Language Model
- When to fine-tune a language model
- Preparing data to fine-tune a chat completion model
- Fine-tuning language models in Azure AI Studio
Module 6: Evaluate the Performance of Your Custom Copilot
- Assessing model performance
- Manually evaluating model performance
- Assessing the performance of your custom copilot
Module 7: Responsible Generative AI in AI Studio
- Planning a responsible generative AI solution
- Identifying and measuring potential harms
- Mitigating potential harms
- Operating a responsible generative AI solution
Class Audience:
- IT Professionals
- Software Developers
This advanced level course requires experience with Microsoft Azure services, proficiency in either C# or Python, and familiarity with JSON and REST programming semantics.
We also recommend taking the Microsoft Azure AI Fundamentals (AI-900) or the Designing and Implementing a Microsoft Azure AI Solution (AI-102) class.
Class Details:
📅 Class Duration: 1 Day (includes breaks)
⏰ Class Time: Daily at 9:00 AM to 4:30 PM EST (includes breaks)
🗣️🌐 Class Format: Live Online. Interact with an experienced instructor via Microsoft Teams.
🎟️ Secure Your Spot: Class sizes are limited to 15 students to ensure that everyone benefits.
💳 Price: $499 per student (contact us for group rates)
Scheduled Dates:
❄️ Our Winter Schedule will be released on November 4, 2024! ⛄️