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Python ProgrammingAI-3016: Develop generative AI apps in Azure
Learn new skills and discover the power of Microsoft Azure with step-by-step guidance.
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Official Courseware
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The “Create Custom Copilots with AI Studio” learning path teaches you how to build and deploy custom AI copilots using Azure AI and Copilot Studio. It focuses on generative AI development practices, enabling learners to design, customize, and evaluate conversational AI solutions that interact with users, leverage knowledge sources, and complete tasks. You’ll work with tools like prompt flow, model deployment, and retrieval‑augmented generation to create copilots grounded in real data. With practical examples and hands‑on modules, the course prepares developers and AI engineers to implement context‑aware, scalable copilots that improve workflows and user engagement using Azure AI Studio.
Course : AI-3016: Develop generative AI apps in Azure
Level : Intermediate
Type : Instructor led Live online or Classroom
Length : 1 day
Labs : Included
Practice Test : Included
Intermediate developers building AI applications.
AI engineers working with conversational agents.
Data scientists exploring generative AI solutions.
Cloud developers seeking Azure AI skills.
Technical professionals creating chatbots or assistants.
Makers wanting to integrate copilots into apps.
Teams deploying AI solutions in production.
Professionals with prior AI or Azure experience.
Basic understanding of software development principles.
Plan and prepare an AI development environment.
Select and deploy language models from catalog.
Develop AI applications using Foundry SDK.
Use prompt flow to build conversational logic.
Create RAG solutions with your own data.
Fine‑tune language models for specific tasks.
Implement responsible generative AI practices.
Evaluate copilot performance for optimization.
Not applicable
Instructor-led Virtual online live Training.
Weekend Classes
Evening Classes
Weekdays Classes
Course Outline
Module 1: Introduction to Azure AI Studio
What is Azure AI Studio?
How does Azure AI Studio work
When to use Azure AI Studio
Module 2: Explore and deploy models from the model catalog in Azure AI Studio
Explore the language models in the model catalog
Deploy a model to an endpoint
Improve the performance of a language model
Module 3: Get started with prompt flow to develop language model apps in the Azure AI Studio
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
Module 4: Build a RAG-based copilot solution with your own data using Azure AI Studio
Understand how to ground your language model
Make your data searchable
Build a copilot with prompt flow
Module 5: Integrate a fine-tuned language model with your copilot in the Azure AI Studio
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
Module 6: Evaluate the performance of your custom copilot in the Azure AI Studio
Assess the model performance
Manually evaluate the performance of a model
Assess the performance of your custom copilot
Module 7: Responsible generative AI in AI Studio
Plan a responsible generative AI solution
Identify potential harms
Measure potential harms
Mitigate potential harms
Operate a responsible generative AI solution
Best Value offer
Official Courseware
Instructor-led live online / Classroom
Flexible Schedule
Course Completion Certification
US$ 750
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1 day
Fundamental
4 days
Intermediate
Some courses may require basic knowledge of IT infrastructure. Check the specific course details for prerequisites.
Yes, our expert instructor will help you from scratch, the course is designed in a way that you will get understanding of Cloud.
Sure, we would happy to assist you. Please direct your queries to info@infoventure.com
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