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Microsoft Azure OpenAI Workshop

Azure OpenAl Service provides REST API access to Azure OpenAl's powerful language models including the GPT-4, GPT-35 Turbo and Embeddings model series. In this course you will learn to use these models that perform a variety of natural language tasks, including but not limited to content generation, summarization, semantic search, and natural language to code translation. You will gain hands-on learning in building simple API calls that can get you started with it in a matter of minutes!

Course features

Course duration: 12 Hours
Lab environment: Provided
Practice test: NA
Training days: 2
Training mode: In-Person
Course access: 365 days

Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.

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Completed Batch

18 Mar 2024 → 19 Mar 2024 09:00 AM - 06:00 PM (IST)


Microsoft Azure OpenAI Workshop

₹ 45,000

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Key features 100% Money back guarantee

  • Exam Voucher Provided on Request
  • Practice lab and projects with integrated Azure labs
  • Access to Microsoft official content aligned to examination
  • 24/7 support with dedicated mentoring sessions
  • Flexibility to choose dates
  • 8X higher interaction in live online classes conducted by industry experts

Learning Outline

Benefits of learning from us

  • 225+ hours of online content
  • Personalised mentorship sessions
  • Dedicated career support
  • 100+ Cloud Services and tools
  • Doubt-solving with expert industry mentors
  • Proactive program support
  • Dual certificate from top universities

Pre-requisites

The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions.

Eligibility

Anyone who desires to advance their career in IT will find this course useful.

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Program Fees

Starting at ₹ 2,000 /month on EMI

Program Fee: ₹ 45,000

Course Outline

Curriculum

The curriculum has been designed by Certified Expert from CloudBeaver

225+ hrs

Learning content

100+

Cloud Services and tools

Download Curriculum

Module 1: Introduction to Azure Open Al Service

  • Introduction to OpenAl
  • Azure OpenAl service
  • Comparing Azure OpenAl and OpenAl
  • Responsible Al
  • Components and key concepts
  • Azure OpenAl Service quotas and limits

Module 2: Using Azure OpenAl service models and key concepts

  • Azure OpenAl Service models and model sets
  • Legacy models
  • ChatGPT models (gpt-35-turbo and GPT-4)
  • GPT-4
  • DALL-E (Preview)
  • Embeddings models
  • AOAI Text and Code models - Capabilities and use cases
  • Finding the right model

Hands-on Labs

  • Provisioning Azure OpenAl Service
  • Generating text and code using Azure OpenAl Service models
  • Getting started using ChatGPT and GPT-4 with Azure OpenAl Service
  • Generating E-mail Content generation using Azure OpenAl
  • Generating images using DALL-E

Module 3: Understanding Prompt Engineering, Content Filtering and Embeddings

  • Introduction to prompt engineering
  • Prompt engineering techniques
  • Introduction to Abuse monitoring and Content Filtering
  • Understanding embeddings in Azure OpenAl Service
  • Cosine similarity
  • How to generate embeddings with Azure OpenAl
  • Azure OpenAl on your data(preview)

Hands-on Labs


  • Using the Codex model to generate the desired information in Azure OpenAl Studio
  • Utilizing prompt engineering using Chat GPT
  • Using Azure OpenAl Service embeddings to perform a document search
  • Using Azure Cognitive Services Speech to converse with Azure OpenAl Service
Module 4: Work with text and code completion


  • Generate or manipulate text using Completions endpoint
  • Generating and manipulating code using Codex
  • Customizing the model by preparing the dataset
  • Fine-tuning your model
Module 5: Security, high availability, monitoring, and responsible Al


  • Configuring Azure OpenAl Service with Managed Identities and Azure Cognitive Services virtual networks
  • Manage quota
  • Using Azure OpenAl with large datasets
  • Azure OpenAl Service encryption of data at rest BCDR considerations with Azure OpenAl Service
  • Monitoring Azure OpenAl Service
  • Planning to manage costs for Azure OpenAl Service\Responsible Al
Hands-on Labs


  • Preparing Azure OpenAl models for customer scenarios
  • Generating Podcast Synopsis with Azure OpenAI GPT
  • Preparing the data and Fine-tuning your model
  • Using the Codex model to generate the desired information in Azure OpenAl Studio

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Throughout the program, a certified professional from the industry mentors you.

A dedicated
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Our university-grade curriculum, networking, and mentorship are all part of our commitment to being a leader in the technology sector.

Providing networking and program support

Dedicated program managers assist you with any issues related to the program - dates, assignments, fees, and application procedures.

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CloudBeaver delivers high-quality content, excellent instruction, and a fantastic experience. As a result of taking the course, I learned a great deal. I was very impressed with the trainer, Kishore.

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