Azure Generative AI Engineer

Name: Azure Generative AI Engineer Nanodegree Program
Rating: 5 (1 reviews)

Nanodegree Program

Master designing and implementing Generative AI solutions on Azure, building applications that deliver insights, automate tasks, and integrate advanced generative AI models from OpenAI. Create a Retrieval Augmented Generation (RAG) pipeline and application, configuring Azure OpenAI services and applying prompt engineering techniques for accurate data extraction. Build and evaluate a custom AI-powered copilot using Azure AI Studio and Prompt Flow, managing end-to-end deployment with GenAIOps for monitoring and optimization. Develop a system to classify retail support tickets, leveraging DALL-E for image generation and GPT Vision for text analysis to automate ticket handling and categorization. You'll gain skills in prompt engineering, AI deployment, and multimodal data integration.

Built in collaboration with

Microsoft

Intermediate
1 month
Last Updated December 18, 2024

Skills you'll learn:

Generative AI FluencyGenAI Use Cases

Prerequisites:

Prompt EngineeringBasic PythonGenerative AI FluencyAzure basicsAI fluency

Intermediate

1 month

Last Updated December 18, 2024

Skills you'll learn:

Generative AI Fluency • GenAI Use Cases • GPT • OpenAI API

Prerequisites:

Prompt Engineering • Basic Python • Generative AI Fluency

Courses In This Program

Course 1 • 45 minutes

Welcome to the Nanodegree Program!

Welcome to Udacity! We're excited to share more about your Nanodegree program and start this journey with you!

Lesson 1

Welcome!

Welcome to Udacity. Takes 5 minutes to get familiar with Udacity courses and gain some tips to succeed in courses.

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Lesson 1

Welcome!

Welcome to Udacity. Takes 5 minutes to get familiar with Udacity courses and gain some tips to succeed in courses.

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Course 2 • 2 weeks

Building Generative AI Applications for Data Insights on Azure

You'll learn Azure OpenAI services, focusing on building applications that extract valuable insights from data using generative AI models. You'll set up and configure Azure AI tools, apply prompt engineering techniques, and integrate external data sources with retrieval-augmented generation (RAG) solutions. You'll gain practical experience in building AI-driven applications for data analysis.

Lesson 1

Introduction to Azure OpenAI Service, AI Models, and Capabilities

Learn the Azure OpenAI Service, including setup, model selection, prompt engineering, code and image generation, and responsible AI practices to build secure, effective AI applications on Azure.

Lesson 2

Extracting Insights From Data with Generative AI

Learn how to use Generative AI to extract data insights, focusing on Retrieval Augmented Generation (RAG), vector search, text embeddings, and prompt engineering for effective data querying

Lesson 3 • Project

Project: Chat With Your Data

Set up Azure resources, deploy models, create prompts, and use Retrieval-Augmented Generation (RAG) to analyze and extract insights from financial data.

Lesson 1

Introduction to Azure OpenAI Service, AI Models, and Capabilities

Learn the Azure OpenAI Service, including setup, model selection, prompt engineering, code and image generation, and responsible AI practices to build secure, effective AI applications on Azure.

Lesson 2

Extracting Insights From Data with Generative AI

Learn how to use Generative AI to extract data insights, focusing on Retrieval Augmented Generation (RAG), vector search, text embeddings, and prompt engineering for effective data querying

Lesson 3 • Project

Project: Chat With Your Data

Set up Azure resources, deploy models, create prompts, and use Retrieval-Augmented Generation (RAG) to analyze and extract insights from financial data.

Course 3 • 2 weeks

Building Generative AI Solutions on Azure with OpenAI GPT Large Language Models

Develop, evaluate, and deploy custom copilots and applications using Azure AI Studio, Prompt Flow and OpenAI large language models. You'll operationalize AI-driven applications on Azure using GenAIOps, focusing on evaluation, monitoring and continuous integration and deployment pipelines. You'll create prompt flows, integrate data sources, and manage the full lifecycle of generative AI solutions in real-world scenarios.

Lesson 1

Introduction to Custom Generative AI Apps and Copilots Using Azure AI Foundry Portal

Learn to build custom Generative AI copilots and apps with Azure AI Foundry portal, including setting up environments, deploying models, and developing prompt flows for enhanced user interaction.

Lesson 2

Building and Evaluating Generative AI Applications with Prompt Flow and GenAIOps in Azure AI Foundry Portal

Learn to build, evaluate, and refine Generative AI applications and copilots with Prompt Flow and GenAIOps in Azure AI Foundry, including automated and manual evaluations, and code-first setups.

Lesson 3

Operationalizing Generative AI Applications with GenAIOps in Azure AI Foundry Portal

Master operationalizing Generative AI apps with GenAIOps, covering deployment, monitoring, content safety, and CI/CD automation in Azure AI Foundry portal

Lesson 4 • Project

Project: Custom Copilot with Azure OpenAI Service

Create a custom AI copilot using Azure AI Studio to assist users with inquiries over specific data sources. Build, test, and deploy your copilot app to deliver real-time, data-backed responses.

Lesson 1

Introduction to Custom Generative AI Apps and Copilots Using Azure AI Foundry Portal

Learn to build custom Generative AI copilots and apps with Azure AI Foundry portal, including setting up environments, deploying models, and developing prompt flows for enhanced user interaction.

Lesson 2

Building and Evaluating Generative AI Applications with Prompt Flow and GenAIOps in Azure AI Foundry Portal

Learn to build, evaluate, and refine Generative AI applications and copilots with Prompt Flow and GenAIOps in Azure AI Foundry, including automated and manual evaluations, and code-first setups.

Lesson 3

Operationalizing Generative AI Applications with GenAIOps in Azure AI Foundry Portal

Master operationalizing Generative AI apps with GenAIOps, covering deployment, monitoring, content safety, and CI/CD automation in Azure AI Foundry portal

Lesson 4 • Project

Project: Custom Copilot with Azure OpenAI Service

Create a custom AI copilot using Azure AI Studio to assist users with inquiries over specific data sources. Build, test, and deploy your copilot app to deliver real-time, data-backed responses.

Course 4 • 2 weeks

Building Image and Vision Generative AI Solutions on Azure

Learn the essential aspects of developing applications using Generative AI vision and image generation models. You'll leverage Azure's robust tools to create and manage image and vision AI solutions. By the end of your journey, you'll be skilled at designing, implementing, and refining generative AI applications that integrate vision and image generation models, equipping you with the expertise to advance in the field of AI-driven image processing.

Lesson 1

Introduction to Azure Generative AI Image and Vision Services

Explore Azure AI's Vision services—learn to deploy models and understand generative AI's role in image analysis and creation using tools like GPT-4 Turbo and DALL-E.

Lesson 2

GPT Vision

Discover GPT Vision and its multimodal AI prowess, explore text and image processing, quiz yourself, and apply prompting techniques to create powerful AI-driven solutions.

Lesson 3

DALL-E

Explore DALL-E, OpenAI's tool that turns text into images. Learn image generation, prompt crafting, applications, and ethical issues in AI-driven creativity.

Lesson 4

Image and Vision Generative AI Workflows

Explore how DALL-E and GPT Vision streamline GenAI workflows in e-commerce, design, marketing, and creative storytelling using Azure OpenAI's capabilities.

Lesson 5 • Project

Project: Customer Complaint Classification Solution

Build an AI pipeline that transcribes audio complaints, generates visual representations, describes and annotates images, and categorizes complaints, automating customer support classification.

Lesson 1

Introduction to Azure Generative AI Image and Vision Services

Explore Azure AI's Vision services—learn to deploy models and understand generative AI's role in image analysis and creation using tools like GPT-4 Turbo and DALL-E.

Lesson 2

GPT Vision

Discover GPT Vision and its multimodal AI prowess, explore text and image processing, quiz yourself, and apply prompting techniques to create powerful AI-driven solutions.

Lesson 3

DALL-E

Explore DALL-E, OpenAI's tool that turns text into images. Learn image generation, prompt crafting, applications, and ethical issues in AI-driven creativity.

Lesson 4

Image and Vision Generative AI Workflows

Explore how DALL-E and GPT Vision streamline GenAI workflows in e-commerce, design, marketing, and creative storytelling using Azure OpenAI's capabilities.

Lesson 5 • Project

Project: Customer Complaint Classification Solution

Build an AI pipeline that transcribes audio complaints, generates visual representations, describes and annotates images, and categorizes complaints, automating customer support classification.

Taught By The Best

Vishnu (Lucky) Pamula

Sr. Cloud Solution Architect at Microsoft

Lucky is a data & AI evangelist with a track record of successfully helping organizations build analytics solutions. Besides his day job, he teaches as an adjunct professor, delivers lunch & learns, mentors students, and evangelizes Azure Quantum as an ambassador.

Takuto Higuchi

Senior Product Marketing Manger, Azure AI at Microsoft

Takuto is a dedicated product marketer with a focus on advancing GenAIOps and AI-driven solutions. Known for his strategic insights and passion for developer-centric messaging, he excels in aligning product positioning with customer needs. He is passionate about data and AI-driven business that can transform vast amounts of data into actionable insights.

Mayur Madnani

Developer at Viacom18

Mayur Madnani is an engineer who transforms complex problems into solutions in software, data, and AI. With a stellar track record at industry giants like SAP, Walmart, Intuit, and Viacom18, and an MS in AI & ML from LJMU, UK, he is a published researcher and patent holder passionate about mentorship and education.

Student Reviews

Average Rating: 5 Stars

1 Reviews

Manuel

December 20, 2024

Well-prepared, hands-on and demanding nanodegree with which I dramatically ramped up my technical GenAI skills!

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