Master Azure Ai Studio: Prompt Flow, Llmops & Rag

Unlock Azure AI Studio's Full Potential: Dive into Prompt Flow, Content Safety, Evaluation, LLMOps, and RAG Techniques

What you'll learn

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

Requirements

Basic programming experience required

Basic understanding of Azure required

Description

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!

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Section 2: Important Concepts

Lecture 2 What Is Generative AI?

Lecture 3 What is Azure OpenAI?

Lecture 4 What is Azure AI Studio?

Section 3: Prompt Engineering

Lecture 5 What is Prompt Engineering?

Lecture 6 Building Blocks of a Prompt

Lecture 7 Chain Of Thoughts Prompting Technique

Lecture 8 Controlling Output Through Prompt Engineering

Section 4: Exploring Azure AI Studio

Lecture 9 Deploying Azure OpenAI Resource

Lecture 10 Deploying Azure AI Studio Resource

Lecture 11 Exploring The Azure AI Studio Workspace

Section 5: AI Studio Prompt Flow

Lecture 12 What is Microsoft Prompt Flow

Lecture 13 Discussing The Copilot Stack

Lecture 14 Testing "Web Classification" Prompt Flow

Lecture 15 Building Our NER (Named Entity Recognition) Prompt Flow

Lecture 16 Publishing Our NER Prompt Flow as a Managed Endpoint

Lecture 17 Inferencing Our NER Prompt Flow Using API Calls

Lecture 18 Prompt Flow Real-Life Use Case

Section 6: Using Your Own Data

Lecture 19 What Is RAG?

Lecture 20 RAG In Azure

Lecture 21 Setting Up Our RAG Infrastructure On Azure

Lecture 22 Building Our RAG Prompt Flow

Section 7: Using AI Studio For Evaluation

Lecture 23 Understanding Azure AI Studio Evaluation

Lecture 24 Running Custom Evaluation On Our Prompt Flow

Lecture 25 Running Automated Evaluation On Our Prompt Flow

Section 8: Exploring Content Safety In AI Studio

Lecture 26 Introduction To Responsible AI

Lecture 27 Exploring Content Safety Filters

Lecture 28 Making API calls to Content Safety API

Lecture 29 Using Content Safety Filters in Our Prompt Flow

Software Developers,AI enthusiasts,DevOps engineers,Azure Developers