AI - 3016 : Develop Custom Copilots with Azure AI Studio
The AI-3016 certification focuses on developing custom AI copilots using Azure AI Studio, equipping learners with skills to create tailored AI solutions for enhancing productivity and efficiency. This course covers advanced topics in AI model customization, deployment, and management within the Azure ecosystem.
Instructor
AI - 3016 : Develop Custom Copilots with Azure AI Studio Training
AI - 3016 : Develop Custom Copilots with Azure AI Studio
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.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.
Course Prerequisites:
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.
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
Course Outline:
Module 01: Introduction to Azure AI Studio
Understand the core features and capabilities of Azure AI Studio.
Learn to provision and manage Azure AI resources within the Studio.
Discover how to create and manage AI projects in Azure AI Studio.
Gain insights into scenarios where Azure AI Studio is most effective.
Module 02: Use Prompt Flow to Develop Language Model Apps in Azure AI Studio
Get started with prompt flow for language model application development.
Familiarize with the development lifecycle for language model apps.
Understand the concept of a flow within prompt flow.
Explore the key components of prompt flow.
Module 03: Build a RAG-based Copilot Solution with Your Data in AI Studio
Learn why Retrieval-Augmented Generation (RAG) is necessary for language models.
Use Azure AI Search to index your data and make it searchable.
Build a copilot solution using RAG to ground your language model with custom data.
Module 04: Responsible Generative AI in AI Studio
Outline a process for responsible generative AI solution development.
Identify and assess potential harms associated with generative AI.
Learn techniques to measure and mitigate these potential harms.
Prepare to responsibly deploy and operate generative AI solutions.
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.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.
Course Prerequisites:
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.
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
Course Outline:
Module 01: Introduction to Azure AI Studio
Understand the core features and capabilities of Azure AI Studio.
Learn to provision and manage Azure AI resources within the Studio.
Discover how to create and manage AI projects in Azure AI Studio.
Gain insights into scenarios where Azure AI Studio is most effective.
Module 02: Use Prompt Flow to Develop Language Model Apps in Azure AI Studio
Get started with prompt flow for language model application development.
Familiarize with the development lifecycle for language model apps.
Understand the concept of a flow within prompt flow.
Explore the key components of prompt flow.
Module 03: Build a RAG-based Copilot Solution with Your Data in AI Studio
Learn why Retrieval-Augmented Generation (RAG) is necessary for language models.
Use Azure AI Search to index your data and make it searchable.
Build a copilot solution using RAG to ground your language model with custom data.
Module 04: Responsible Generative AI in AI Studio
Outline a process for responsible generative AI solution development.
Identify and assess potential harms associated with generative AI.
Learn techniques to measure and mitigate these potential harms.
Prepare to responsibly deploy and operate generative AI solutions.
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Live Online Training (Duration : 8 Hours)
