Generative AI for Business with Microsoft Azure OpenAI

BY
Microsoft Corporation via Great Learning

Learn Generative AI principles and Prompt Engineering for business use cases with Generative AI for Business with Microsoft Azure OpenAI by Great Learning.

Mode

Online

Duration

16 Weeks

Fees

₹ 120000

Inclusive of GST

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

The Generative AI for Business with Microsoft Azure OpenAI is a 16-week online programme. It provides students with an understanding of generative AI principles and practical experience to leverage Microsoft Azure for AI applications. With Generative AI for Business with Microsoft Azure OpenAI certification by Great Learning, students will learn code and no-code approaches on the Azure Cloud Platform.

The Generative AI for Business with Microsoft Azure OpenAI training encompasses a robust curriculum with hands-on case studies and projects. It equips students with tools such as Azure OpenAI Service, Azure OpenAI Playground, Azure OpenAI Chat API, and GPT-3.5-Turbo, among others. Students will also get a certificate after completion.

The highlights

  • 16-week online programme
  • Learning from certified trainers
  • Microsoft Azure Lab access with OpenAI Studio
  • Certificate of Completion from Great Learning and Microsoft

Program offerings

  • Online learning
  • Robust curriculum
  • Hands-on case studies
  • Hands-on projects
  • Learning support

Course and certificate fees

Fees information
₹ 120,000  (Inclusive of GST)

Generative AI for Business with Microsoft Azure OpenAI Fee Structure

Details

Total Fees

Course Fees

₹ 1,20,000 + GST

certificate availability

Yes

certificate providing authority

Great Learning +1 more

Who it is for

The Generative AI for Business with Microsoft Azure OpenAI certification course is apt for individuals who want to understand the principles behind Generative AI and Prompt Engineering to gain desired business outcomes. The course is also opt for the following professionals:

Eligibility criteria

Certification Qualifying Details

After completing the course, participants will receive a Generative AI for Business with Microsoft Azure OpenAI certificate from Great Learning.

What you will learn

Knowledge of artificial intelligence

After completing the Generative AI for Business with Microsoft Azure OpenAI certification syllabus, students will get familiar with Generative AI and how to use it to solve problems and develop services. They will learn to leverage APIs and Python SDKs and NL Classification, Summarization and Generation.

Students will also learn various tools including Azure OpenAI Service, Azure OpenAI Studio, Azure OpenAI Playground, Python, Azure OpenAI Completion API, Azure OpenAI Chat API, and GPT-3.5-Turbo. They can improve their practical skills and immerse themselves in real-world scenarios with this online certification course.

The syllabus

Module 1: Leveraging Generative AI for Business Applications

Week 1: ML Foundations for Generative AI
  • Mathematical Foundations of Generative AI
  • Understanding Machine Learning for Generative AI
  • Connect NLP fundamentals with advanced Generative AI applications
Week 2: Generative AI: Business Landscape & Overview
  • Understanding Generative and Discriminative AI
  • A brief timeline of Generative AI
  • A peek into generative models
  • Deconstructing the behavior of a large language models
  • ML, DL, and GenAI applications in business
  • Hands-on Demonstration of popular tools (ChatGPT & DALL-E)
Week 3: Prompt Engineering without Code
  • LLMs and the genesis of Prompting
  • How does the Attention Mechanism work? 
  • A brief history of the GPT model series
  • Accessing GPT through Azure
  • Designing prompts for business use-cases using playground templates
  • Prompting techniques (Prompt templates, precise instructions, chain of thought prompting)
  • Ideating for prompts (prompt generation by induction, prompt paraphrasing)
  • Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models' performance.
  • Learn the capabilities of DALL-E in the Azure openAI service and Use the DALL-E playground in Azure OpenAI Studio
Week 4: Project: Product Feedback Review & Sentiment Analysis

Module 2: Python for Generative AI

Week 5: Python for Prompt Engineering Part-1
  • Variables
  • Data types
  • Data Structures 
  • Conditions and Loops
  • Functions
  • Strings
  • Use natural language prompts to write code
Week 6: Python for Prompt Engineering : Part-2
  • Store text in Python
  • Edit, add, and delete text in Python
  • How to read files in Python
  • How to work with a database
  • Manipulate string columns
Week 7: Learning Break

Module 3: Designing Generative AI Solutions with Azure Open AI

Week 8: Prompt Engineering at Scale
  • Getting set with your Azure Open AI key and Python SDK
  • Completions and Chat API
  • Kinds of APIs, Models, Token, Rate Limits and Pricing
  • Evaluating Generative AI Outputs
  • Generate completions to prompts and begin to manage model parameters
  • Include clear instructions, request output composition, and use contextual content to improve the quality of the model's responses
Week 9: Classification Tasks with Generative AI
  • Framing text classification tasks as Generative AI problem
  • Sentiment classification
  • Assigning themes to a body of text 
  • Aspect-based sentiment analysis
Week 10: Content Generation and Summarization with Generative AI
  • Content generation using Generative AI 
  • Abstractive summarization
  • Text generation
Week 11: Information Retrieval and Synthesis workflow with Gen AI
  • Overview of advanced application of Generative AI 
  • Understand information retrieval and synthesis workflow using Azure Open AI
  • Effectively communicate the core concepts of Retrieval-Augmented Generation (RAG) with the help of the LangChain package
  • Use Azure OpenAI API to generate responses based on your own data
Week 12: Final Project: Aspect-based Classification for Sentiment Analysis

Module 4: AI-900: Azure AI Fundamentals (Optional 4-week elective)

Week 13: Python Basics
  • Variables
  • Data types
  • Data Structures 
  • Conditions and Loops
  • Functions
  • String Operations
    • Concatenation 
    • String formatting 
    • String Indexing 
    • Slicing 
    • String length 
    • String methods 
    • String searching and Manipulation 
    • String Conversion
Week 14: Computer Vision workloads on Azure
  • Identify common types of computer vision solution
  • Identify features of optical character recognition solutions
  • Capabilities of the Azure AI Vision service
  • Capabilities of the Azure AI Face detection service
Week 15: Natural Language workloads on Azure
  • Identify features and uses for key phrase extraction
  • Identify features and uses for entity recognition
  • Identify features and uses for language modeling
  • Identify features of common NLP Workload Scenarios
  • Identify Azure tools and services for NLP workloads
Week 16: Generative AI workloads on Azure
  • Identify features of generative AI solutions
  • Identify capabilities of Azure OpenAI Service

Admission details

To join the Generative AI for Business with Microsoft Azure OpenAI classes, candidates can follow the steps mentioned below:

Step 1: Visit the official course page - https://www.mygreatlearning.com/gen-ai-microsoft-azure-open-ai

Step 2: Submit your details to complete the registration

Step 3: Pay the course fees to access the course

How it helps

There are numerous Generative AI for Business with Microsoft Azure OpenAI certification benefits for students. The programme equips students with skills such as Prompt Engineering, and Microsoft Azure Cloud Services for AI. It consists of a robust curriculum with case studies and projects. The other course benefits include a completion certificate.

Instructors

Dr Abhinanda Sarkar

Dr Abhinanda Sarkar
Academic Director
Great Learning

Other Bachelors, Other Masters, Ph.D

Mr Connor Hagen
Architect
Microsoft Corporation

Dr Pavankumar Gurazada
Faculty
Great Learning

Other Bachelors, MBA

Mr Fred Premji
Principal AI/ML Engineer
Freelancer

FAQs

What makes Generative AI for Business with Microsoft Azure OpenAI online course unique?

The course provides an in-depth understanding of Generative AI principles with real-business case studies and projects. It develops students’ skills in Prompt Engineering, Microsoft Azure Cloud Services for AI, and more.

Will I get learning support after joining the Generative AI for Business with Microsoft Azure OpenAI classes?

Students will get academic support from a dedicated program manager to enhance their learning experience.

Will I get any certificate after completing this online certification course?

Upon completion of the course, you will be provided with a certificate by Great Learning. You can use this certificate to enhance your resume and share it with your professional network.

Can I pay the course fee in installments?

Candidates can pay the fee in installments. They must visit the official course page for more details on flexible fee payment options. 

Who will teach this online certification course?

The course will be taught by skilled professionals in the machine learning field who have real-world, hands-on work experience.

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