Skills you'll learn:
GenAI ModelsAzure ai services
Building Generative AI Solutions on Azure with OpenAI GPT Large Language Models
Course
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.
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.
Built in collaboration with
Microsoft
Intermediate
2 weeks
Last Updated November 18, 2024
Prerequisites:
Basic PythonAzure basicsRetrieval-Augmented GenerationGenerative AI Fluency
Intermediate
2 weeks
Last Updated November 18, 2024
Skills you'll learn:
GenAI Models • Azure ai services • OpenAI API • AI and ML applications
Prerequisites:
Basic Python • Azure basics • Retrieval-Augmented Generation
Course Lessons
Lesson 1
Introduction to Custom Generative AI Apps and Copilots Using Azure AI Studio
Learn to build custom Generative AI copilots and apps with Azure AI Studio, 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 Studio
Learn to build, evaluate, and refine Generative AI applications and copilots with Prompt Flow and GenAIOps in Azure AI Studio, including automated and manual evaluations, and code-first setups.
Lesson 3
Operationalizing Generative AI Applications with GenAIOps in Azure AI Studio
Master operationalizing Generative AI apps with GenAIOps, covering deployment, monitoring, content safety, and CI/CD automation in Azure AI Studio
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.
Taught By The Best
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.
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.
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