AI-3016: Develop Custom Copilots using Azure OpenAI Studio Course Overview

AI-3016: Develop Custom Copilots using Azure OpenAI Studio Course Overview

AI-3016: Develop Custom Copilots using Azure OpenAI Studio

Duration: 1 day (8 hours)

Course Objective:
In this comprehensive course, participants will navigate and utilize Azure AI Studio’s core features effectively. You'll learn to Provision and manage AI resources and projects, develop Language model applications using Prompt flow, and enhance these models with custom data via Retrieval Augmented Generation (RAG) techniques. Additionally, you'll gain insights into developing Responsible generative AI solutions, including identifying and mitigating potential harms. Practical skills are honed through hands-on labs, reinforcing your theoretical knowledge.



Practical Application:
Attendees will work on real-world projects, ensuring they can apply what they learn to develop and manage AI projects within Azure AI Studio. This course is ideal for professionals with experience Programming in C#, familiarity with Azure, and having Visual Studio Code IDE installed.

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Successfully delivered 2 sessions for over 72 professionals

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600

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Course Fee 600
Total Fees
600 (USD)
  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Includes Official Coursebook
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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  • Live Training (Duration : 8 Hours)
  • Per Participant
  • Classroom Training fee on request
  • Includes Official Coursebook

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Prerequisites for AI-3016: Develop Custom Copilots using Azure OpenAI Studio


To ensure you can successfully undertake the AI-3016 course, we recommend that participants have the following foundational knowledge and tools:


  • Experience programming in C#.
  • Visual Studio Code IDE installed.
  • Familiarity with Azure and the Azure portal.
  • Access to Azure OpenAI Services for hands-on labs and exercises.

These prerequisites will help you maximize your learning experience and effectively develop custom copilots using Azure OpenAI Studio.


Target Audience for AI-3016: Develop Custom Copilots using Azure OpenAI Studio

Introduction:
The AI-3016 course equips professionals with skills to develop customized Copilots using Azure OpenAI Studio, including prompt flow and RAG-based solutions, essential for responsible generative AI development.


Target Audience:


  • AI Developers
  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Cloud Solution Architects
  • IT Professionals
  • Technical Leads
  • Enterprise Architects
  • AI Enthusiasts
  • Azure Specialists
  • IT Managers
  • Technical Consultants
  • Innovation Engineers
  • Digital Transformation Experts
  • Product Managers in Tech-Based Solutions


Learning Objectives - What you will Learn in this AI-3016: Develop Custom Copilots using Azure OpenAI Studio?

Certainly! Below is the information for the FAQ section of your website.


Learning Objectives and Outcomes for AI-3016: Develop Custom Copilots using Azure OpenAI Studio

Introduction: The AI-3016 course equips learners with the skills to develop, manage, and responsibly deploy custom copilot solutions using Azure OpenAI Studio, covering important features, language model applications, RAG implementation, and generative AI considerations.

Learning Objectives and Outcomes:

  • Navigate and utilize Azure AI Studio’s core features and capabilities
  • Provision and manage AI resources and projects within Azure AI Studio
  • Develop and manage language model applications using prompt flow
  • Implement Retrieval Augmented Generation (RAG) to enhance language models with custom data
  • Develop responsible generative AI solutions, identifying and mitigating potential harms
  • Practical skills through hands-on labs to reinforce theoretical knowledge
  • Describe core features and capabilities of Azure AI Studio
  • Use Azure AI Studio to provision and manage Azure AI resources and projects
  • Understand the development lifecycle for language model applications and the role of prompt flow
  • Identify, measure, and mitigate potential harms in generative AI solutions

Target Audience for AI-3016: Develop Custom Copilots using Azure OpenAI Studio

Introduction:
The AI-3016 course equips professionals with skills to develop customized Copilots using Azure OpenAI Studio, including prompt flow and RAG-based solutions, essential for responsible generative AI development.


Target Audience:


  • AI Developers
  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Cloud Solution Architects
  • IT Professionals
  • Technical Leads
  • Enterprise Architects
  • AI Enthusiasts
  • Azure Specialists
  • IT Managers
  • Technical Consultants
  • Innovation Engineers
  • Digital Transformation Experts
  • Product Managers in Tech-Based Solutions


Learning Objectives - What you will Learn in this AI-3016: Develop Custom Copilots using Azure OpenAI Studio?

Certainly! Below is the information for the FAQ section of your website.


Learning Objectives and Outcomes for AI-3016: Develop Custom Copilots using Azure OpenAI Studio

Introduction: The AI-3016 course equips learners with the skills to develop, manage, and responsibly deploy custom copilot solutions using Azure OpenAI Studio, covering important features, language model applications, RAG implementation, and generative AI considerations.

Learning Objectives and Outcomes:

  • Navigate and utilize Azure AI Studio’s core features and capabilities
  • Provision and manage AI resources and projects within Azure AI Studio
  • Develop and manage language model applications using prompt flow
  • Implement Retrieval Augmented Generation (RAG) to enhance language models with custom data
  • Develop responsible generative AI solutions, identifying and mitigating potential harms
  • Practical skills through hands-on labs to reinforce theoretical knowledge
  • Describe core features and capabilities of Azure AI Studio
  • Use Azure AI Studio to provision and manage Azure AI resources and projects
  • Understand the development lifecycle for language model applications and the role of prompt flow
  • Identify, measure, and mitigate potential harms in generative AI solutions

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