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Master Azure AI Studio

Prompt Flow, LLMOps & RAG

Kuljot Singh Bakshi

Welcome to "Master Azure AI Studio: Prompt Flow, LLMOps & RAG".

Read more

Welcome to "Master Azure AI Studio: Prompt Flow, LLMOps & RAG".

Are you ready to unlock the full potential of Azure AI Studio? This comprehensive course is designed to equip you with the skills and knowledge needed to harness the power of Azure AI Studio's advanced features.

What You'll Learn:

  • Prompt Flow: Master the art of designing and optimizing prompt flows for seamless AI interactions.

  • Content Safety: Ensure your AI solutions adhere to the highest standards of safety and compliance.

  • Evaluation: Learn effective techniques for evaluating AI models to achieve optimal performance.

  • LLMOps: Dive into the operations and management of large language models, streamlining your AI workflows.

  • RAG (Retrieval-Augmented Generation): Enhance your AI applications with cutting-edge retrieval and generation techniques.

Why This Course?

  • Expert Guidance: Learn from an experienced instructor with hands-on expertise in Azure AI Studio.

  • Practical Skills: Gain practical skills through real-world examples and hands-on exercises.

  • Comprehensive Coverage: Covering all key aspects, from basic concepts to advanced techniques.

By the end of this course, you'll be well-equipped to leverage Azure AI Studio for building robust, efficient, and safe AI solutions. Whether you're a developer, data scientist, or AI enthusiast, this course will provide you with the tools and insights needed to excel in the field of AI.

Join us on this exciting journey and become an expert in Azure AI Studio today.

Enroll now

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What's inside

Learning objectives

  • Learn about azure ai studio
  • Learn to integrate prompt flows into ai applications
  • Learn about rag (retrieval augmented generation)
  • Learn to evaluate gen ai applications
  • Build responsible ai applications

Syllabus

Introduction
Course Introduction
Important Concepts
What is Azure AI Studio?
Read more
Azure AI Studio : Exploring New AI Horizon
What Is Generative AI?
What is Azure OpenAI?
Prompt Engineering
What is Prompt Engineering?
Building Blocks of a Prompt
Chain Of Thoughts Prompting Technique
Controlling Output Through Prompt Engineering
Exploring Azure AI Studio
Deploying Azure OpenAI Resource
Deploying Azure AI Studio Resource
Exploring The Azure AI Studio Workspace
AI Studio Prompt Flow
What is Microsoft Prompt Flow
Discussing The Copilot Stack
Testing "Web Classification" Prompt Flow
Building Our NER (Named Entity Recognition) Prompt Flow
Publishing Our NER Prompt Flow as a Managed Endpoint
Inferencing Our NER Prompt Flow Using API Calls
Prompt Flow Real-Life Use Case
Using Your Own Data
What Is RAG?
RAG In Azure
Setting Up Our RAG Infrastructure On Azure
Building Our RAG Prompt Flow
Using AI Studio For Evaluation
Understanding Azure AI Studio Evaluation
Running Custom Evaluation On Our Prompt Flow
Running Automated Evaluation On Our Prompt Flow
Exploring Content Safety In AI Studio
Introduction To Responsible AI
Exploring Content Safety Filters
Making API calls to Content Safety API
Using Content Safety Filters in Our Prompt Flow

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines the innovative Prompt Flow feature available in Azure AI Studio, which enables seamless interaction with AI models
Taught by expert instructors with experience in Azure AI Studio, ensuring quality and insightful instruction
Suitable for individuals interested in leveraging Azure OpenAI services for their AI solutions
Delves into Retrieval Augmented Generation (RAG), an advanced technique for enhancing AI applications
Provides practical skills through hands-on exercises and real-world examples, ensuring a hands-on learning experience
Covers key aspects of AI development, including prompt engineering, content safety, and evaluation techniques, providing a comprehensive learning experience

Save this course

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Master Azure AI Studio: Prompt Flow, LLMOps & RAG with these activities:
Review Azure Fundamentals
Start by reviewing the fundamentals of Azure to ensure a stronger background for the course.
Browse courses on Azure Fundamentals
Show steps
  • Review documentation from Microsoft Learn
  • Take practice quizzes on Azure fundamentals
  • Review Azure certifications, such as AZ-900
Read 'Large Language Models in Practice'
Gain a deeper understanding of the theory and applications of large language models.
Show steps
  • Read chapters related to prompt engineering, LLMOps, and RAG
  • Take notes and highlight key concepts
Follow tutorials on Azure AI Studio
Use tutorials to gain hands-on experience with the tools and techniques taught in the course.
Show steps
  • Follow the tutorials provided in the course materials
  • Explore additional tutorials on Microsoft Learn
  • Experiment with different Azure AI Studio features
Five other activities
Expand to see all activities and additional details
Show all eight activities
Join a study group or online community for Azure AI Studio
Connect with peers to ask questions, share knowledge, and learn from others.
Show steps
  • Find a study group or online community focused on Azure AI Studio
  • Introduce yourself and participate in discussions
  • Seek help from others and offer assistance when possible
Practice prompt engineering
Improve your ability to design and optimize prompts for AI models.
Show steps
  • Use tools like PromptSonic or Cohere for Practice
  • Take online courses or workshops on prompt engineering
  • Experiment with different prompt formats and techniques
  • Get feedback on your prompts from peers or experts
Build an AI project using Azure AI Studio
Put your learning into practice by creating a project that utilizes the skills and knowledge covered in the course.
Show steps
  • Identify a problem or opportunity that can be addressed using AI
  • Design and develop an AI solution using Azure AI Studio
  • Deploy and test the AI solution
  • Evaluate and refine the AI solution
Contribute to open-source projects related to Azure AI Studio
Engage with the wider AI community and gain practical experience by contributing to open-source projects.
Browse courses on Open Source Projects
Show steps
  • Identify open-source projects related to Azure AI Studio
  • Review the project documentation and contribution guidelines
  • Make code contributions or report issues
  • Engage with the project community
Mentor a beginner in Azure AI Studio
Reinforce your learning by helping others understand the concepts and skills covered in the course.
Browse courses on Mentoring
Show steps
  • Identify a beginner who is interested in learning Azure AI Studio
  • Provide guidance and support on prompt engineering, LLMOps, and RAG
  • Answer questions and offer feedback

Career center

Learners who complete Master Azure AI Studio: Prompt Flow, LLMOps & RAG will develop knowledge and skills that may be useful to these careers:

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Effort
5 total hours
Via
Udemy
Instructor
Kuljot Singh Bakshi
Language
English
Good to know
Examines the innovative Prompt Flow feature available in Azure AI Studio, which enables seamless interaction with AI models
Taught by expert instructors with experience in Azure AI Studio, ensuring quality and insightful instruction
Suitable for individuals interested in leveraging Azure OpenAI services for their AI solutions
Delves into Retrieval Augmented Generation (RAG), an advanced technique for enhancing AI applications
Provides practical skills through hands-on exercises and real-world examples, ensuring a hands-on learning experience
Covers key aspects of AI development, including prompt engineering, content safety, and evaluation techniques, providing a comprehensive learning experience
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