Overview

Gain expertise in Generative AI tools and techniques like Prompt Engineering, Python, Prompt workflows, LLMOps, and more to solve business problems with the Generative AI for Business Applications programme from University of Texas at Austin .

Get expert support, personalized feedback, and career guidance. Build a strong portfolio and fast-track your growth with dedicated assistance.

The curriculum, designed by the faculty of UT Austin, Great Learning, and leading industry practitioners, is taught by best-in-class professors and practicing industry experts. The program's objective is to familiarize learners with the foundational concepts of Generative AI, equipping them with the skills needed to establish or transition into a career in AI and Generative AI. With a strong focus on business applications, the program delves into how Generative AI can drive innovation across industries.

Programme Outcomes

Learn to leverage Generative AI for business applications

Understand AI and Generative AI from business and technical perspectives

Build a strong foundation in Generative AI and master key tools and technologies

Develop skills to create efficient, scalable Generative AI solutions

Analyze transformer architectures and LLMs for business use

Design AI workflows using RAG and agentic AI for data insights and efficiency

Assess risks and implement mitigation strategies in Generative AI

Careers in AI & ML

Grow in your current job role or transition to an exciting new one with GenAI skills such as

AI Engineer

Gen AI solution architect

Tech Lead - GenAI

AI Consultant

Machine Learning Engineer

Gen AI Engineer

Deep Learning Engineer

Prompt Engineer

Get more details

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Programme Structure

Courses included:

Generative AI Landscape

Transformers for Text Generation

Large Language Models and Prompt Engineering

Retrieval Augmented Generation

Agentic AI Workflows

Check out the full curriculum

Visit programme website

Key information

Duration

Part-time
- 4 months

Start dates & application deadlines

We did our best, but couldn't find the next application deadline and start date information online.

More details

Start Date To Be Announced
Application closes on22nd May

Language

English

Delivered

Online

Campus Location

Austin, United States

Disciplines

Business Administration Artificial Intelligence View 1232 other Masters in Business Administration in United States

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Applicants should have a Bachelor's degree with a minimum of 50% aggregate marks or equivalent

Admission Process:

Fill application form

Interview Process

After a final review, you will receive an offer for a seat in the upcoming cohort of the program.

Make sure you meet all requirements

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Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

2950 USD / full

≈ 2950 USD / full
Out-of-State

2950 USD / full

≈ 2950 USD / full
Domestic

Applies to you

In-State

2950 USD / full

≈ 2950 USD / full

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Generative AI for Business Applications.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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About

Overview

Programme Outcomes

Careers in AI & ML

Get more details

Programme Structure

Check out the full curriculum

Key information

Duration

Start dates & application deadlines

Language

Delivered

Campus Location

Disciplines

Explore more key information

What students do after studying

Academic requirements

English requirements

Other requirements

General requirements

Make sure you meet all requirements

Tuition Fees

International Applies to you

Domestic

Funding

Scholarships Information

Available Scholarships

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