Duration: 1 Day
About this Course
Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.
Audience Profile
This course is ideal for AI engineers, data scientists, and anyone interested in creating custom AI copilots.
Prerequisites
Before starting this course, you should be familiar with fundamental AI concepts and services in
Azure.
What’s included?
- Authorized Courseware
- Intensive Hands on Skills Development with an Experienced Subject Matter Expert
- Hands on practice on real Servers and extended lab support 1.800.482.3172
- Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
- Academy Code of Honor: Test Pass Guarantee
- Optional: Package for Hotel Accommodations, Lunch and Transportation
With several convenient training delivery methods offered, The Code Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Code Academy for an engaging and effective learning experience.
Methods
- Instructor Led (the best training format we offer)
- Live Online Classroom – Online Instructor Led
- Self-Paced Video
Speak to an Admissions Representative for complete details
Start | Finish | Public Price | Public Enroll | Private Price | Private Enroll |
---|---|---|---|---|---|
9/23/2024 | 9/23/2024 | ||||
10/14/2024 | 10/14/2024 | ||||
11/4/2024 | 11/4/2024 | ||||
11/25/2024 | 11/25/2024 | ||||
12/16/2024 | 12/16/2024 | ||||
1/6/2025 | 1/6/2025 | ||||
1/27/2025 | 1/27/2025 | ||||
2/17/2025 | 2/17/2025 | ||||
3/10/2025 | 3/10/2025 | ||||
3/31/2025 | 3/31/2025 | ||||
4/21/2025 | 4/21/2025 | ||||
5/12/2025 | 5/12/2025 | ||||
6/2/2025 | 6/2/2025 | ||||
6/23/2025 | 6/23/2025 | ||||
7/14/2025 | 7/14/2025 | ||||
8/4/2025 | 8/4/2025 | ||||
8/25/2025 | 8/25/2025 | ||||
9/15/2025 | 9/15/2025 | ||||
10/6/2025 | 10/6/2025 | ||||
10/27/2025 | 10/27/2025 | ||||
11/17/2025 | 11/17/2025 | ||||
12/8/2025 | 12/8/2025 | ||||
12/29/2025 | 12/29/2025 | ||||
1/19/2026 | 1/19/2026 |
Curriculum
Lesson 1: Introduction to Azure AI Studio
• Introduction
• What is Azure AI Studio?
• How does Azure AI Studio work
• When to use Azure AI Studio
• Exercise – Explore Azure AI Studio
• Knowledge check
• Summary
Lesson 2: Explore and deploy models from the model catalog in Azure AI Studio
• Introduction
• Explore the language models in the model catalog
• Deploy a model to an endpoint
• Improve the performance of a language model
• Exercise – Explore, deploy, and chat with language models
• Knowledge check
• Summary
Lesson 3: Get started with prompt flow to develop language model apps in the Azure AI Studio
• Introduction
• Understand the development lifecycle of a large language model (LLM) app
• Understand core components and explore flow types
• Explore connections and runtimes
• Explore variants and monitoring options
• Exercise – Get started with prompt flow
• Knowledge check
• Summary
Lesson 4: Build a RAG-based copilot solution with your own data using Azure AI Studio
• Introduction
• Understand how to ground your language model
• Make your data searchable
• Build a copilot with prompt flow
• Exercise – Create a custom copilot that uses your own data
• Knowledge check
• Summary
Lesson 5: Integrate a fine-tuned language model with your copilot in the Azure AI Studio
• Introduction
• Understand when to fine-tune a language model
• Prepare your data to fine-tune a chat completion model
• Explore fine-tuning language models in Azure AI Studio
• Exercise – Fine-tune a foundation model
• Knowledge check
• Summary
Lesson 6: Evaluate the performance of your custom copilot in the Azure AI Studio
• Introduction
• Assess the model performance
• Manually evaluate the performance of a model
• Assess the performance of your custom copilot
• Exercise – Evaluate the performance of your custom copilot
• Knowledge
Lesson 7: Responsible generative AI in AI Studio
• Introduction
• Plan a responsible generative AI solution
• Identify potential harms
• Measure potential harms
• Mitigate potential harms
• Operate a responsible generative AI solution
• Exercise – Explore content filters in Azure AI Studio
• Knowledge check
• Summary