Full Stack Development with Generative AI and Agents
Professional Certificate in Generative AI and Agents for Software Development
Application closes on
12th Feb 2026
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Professional Certificate in Generative AI and Agents for Software Development
Application closes 12th Feb 2026
Key Program Features
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AI-Powered Tools
Empower your coding journey with GitHub Copilot, an AI-powered tool offering real-time code suggestions, debugging assistance, and accelerated development workflows
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Hands-On Learning
Apply theoretical concepts through hands-on full-stack development projects, with systematic use of Generative AI tools across design, implementation, testing, and documentation.
LEARNING OUTCOMES
Unlock high-impact roles in your career
Learn how to build, test, and deploy AI-powered web applications.
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Build full-stack web apps with modern frontend/backend, scalable REST APIs, auth, and integrated frontend
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Apply Generative AI tools effectively across coding, testing, debugging, and documentation workflow
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Integrate Large Language Models (LLMs) into applications using well-structured prompts and API calls
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Implement and manage AI agents and agent-based workflows for multi-step automation tasks
The McCombs School of Business at The University of Texas at Austin
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#1 (U.S., Big Data Management) in MS Business Analytic
Eduniversal (2025)
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#6 Analytics
U.S. News & World Report (2025)
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#6 Business Programs
U.S. News & World Report (2025)
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#7 in MS - Business Analytics
QS World University Rankings (2022)
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#7 in MS Business Analytics
The Financial Engineer Times (2025)
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#3 in Information Systems Graduate Programs
U.S. News & World Report (April 2025)
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#7 Public University in the U.S.
U.S. News & World Report, 2026
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#6 in Executive Education - Custom Programs
Financial Times, 2022
KEY PROGRAM HIGHLIGHTS
Why choose this program?
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Learn from top faculty and experts
Learn from recorded lectures by world renowned Texas McCombs faculty and mentorship from industry experts for a comprehensive experience.
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AI-powered tools
Empower your coding journey with GitHub Copilot, an AI-powered tool offering real-time code suggestions, debugging assistance, and accelerated workflows
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Hands-on learning
Build industry-ready skills through hands-on projects and a comprehensive suite of industry-leading tools and frameworks that define modern software development
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Learning support
Get personalized assistance from a dedicated program manager, and academic support through project discussion forums, peer groups, and AI-assisted support
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Create a compelling e-portfolio
Develop an industry-ready portfolio that showcases your mastery of skills and tools
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Earn recognized credentials
Upon program completion, earn a globally recognized certificate of completion from the McCombs School of Business at The University of Texas at Austin
Skills you will learn
FULL-STACK WEB APPLICATION DEVELOPMENT
AI-ASSISTED SOFTWARE DEVELOPMENT USING GITHUB COPILOT
AI AGENT AND WORKFLOW IMPLEMENTATION WITH LANGCHAIN & CLAUDE CODE
BACKEND API DESIGN, SECURITY, AND AUTHENTICATION
FRONTEND DEVELOPMENT WITH REACT AND STATE MANAGEMENT
LLM INTEGRATION AND PROMPT ENGINEERING
TESTING, DEPLOYMENT, AND PRODUCTION READINESS
FULL-STACK WEB APPLICATION DEVELOPMENT
AI-ASSISTED SOFTWARE DEVELOPMENT USING GITHUB COPILOT
AI AGENT AND WORKFLOW IMPLEMENTATION WITH LANGCHAIN & CLAUDE CODE
BACKEND API DESIGN, SECURITY, AND AUTHENTICATION
FRONTEND DEVELOPMENT WITH REACT AND STATE MANAGEMENT
LLM INTEGRATION AND PROMPT ENGINEERING
TESTING, DEPLOYMENT, AND PRODUCTION READINESS
- Overview
- Learning Journey
- Curriculum
- Projects
- Tools
- Certificate
- Faculty
- Mentors
- Fees
- FAQ
This program is designed for
Software developers at all levels, including software engineers, programmers and software managers
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Software development professionals
Looking to enhance their skills with Generative AI tools for efficient coding, testing, and problem-solving
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IT and technology professionals
Who want to integrate AI into their workflows to improve productivity, automation, and team collaboration
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Engineering and technology managers
Aiming to leverage Generative AI to optimize development processes, accelerate innovation, and drive high-performing teams
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Technology consultants
Looking to use Generative AI to streamline client solutions, strengthen delivery workflows, or drive high-impact technical outcome
Experience a unique learning journey
Our pedagogy is designed to ensure a holistic learning experience
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Learn from world-renowned faculty:
Learn critical concepts and applications guided by renowned Texas McCombs faculty
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Engage with your mentors:
Clarify your doubts and gain practical skills during weekly live sessions with industry experts
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Hands-on learning:
Gain hands-on experience through industry relevant tools reinforced by 10 hands-on projects
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Get personalized assistance:
Our dedicated program managers will support you through your learning journey
Comprehensive curriculum
Designed by the McCombs School of Business at The University of Texas at Austin, in collaboration with leading industry experts, the curriculum covers key topics like GenAI-powered full-stack development, AI-assisted coding, MERN stack, LLMs, AI agents, testing, and AWS deployment.
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Hands-On
Full-Stack Projects
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20+
Tools And Frameworks
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Weekly
Live Mentorship Sessions
Week 0 | Prework - Web Development and JavaScript Foundations
This prework establishes the foundational knowledge required for the program. Learners develop core web development skills and a strong understanding of modern JavaScript, preparing them for full-stack and AI-assisted development.
Concepts Covered
Week 01 | Introduction to Generative AI and AI Tools for Coding
This week, learners will be introduced to the primary tools they’ll be working with—ChatGPT and GitHub Copilot. They’ll learn the fundamentals of Generative AI and prompt engineering, and apply these concepts to solve a variety of programming tasks. By the end of the week, learners will apply their knowledge to solve a range of programming tasks and build a Task Manager application.
Concepts Covered
Week 02 | Building the Backend - 1 (MongoDB + Mongoose)
This week, after a brief introduction to Node.js, learners will focus on working with MongoDB and Mongoose. They’ll use Generative AI to rapidly design, implement, and test a robust MongoDB backend. Learners will explore best practices in schema design, apply them to assess AI-generated models, and leverage AI to generate test data and automate testing for database CRUD operations.
Concepts Covered
Week 03 | Building the Backend - 2 (Express - 1)
This week, learners will implement API endpoints using AI and explore middleware and error handling in Node.js. They’ll study the core principles of effective API design and use AI to generate REST APIs that follow these best practices. Learners will also leverage AI to document their API designs and test their AI-generated code.
Concepts Covered
Week 04 | Building the Backend - 3 (Express - 2)
This week, learners will implement user authentication and authorization using JWT, along with complex routes supported by Generative AI. They will also learn best practices for securing the backend and write integration tests to validate full backend functionality.
Concepts Covered
Week 05 | Learning Break
Week 06 | Building the Frontend - 1 (React - 1)
This week, learners will revisit fundamental React concepts, including components, props and event handlers, and state management. They’ll use Generative AI to rapidly build UI elements and learn how to leverage AI to test their React components using Vitest.
Concepts Covered
Week 07 | Building the Frontend - 2 (React - 2)
This week, learners will focus on styling React applications with Bootstrap, rendering lists, and managing side effects using the use Effect hook.
Concepts Covered
Week 08 | Building the Frontend - 3 (React - 3)
This week, learners will explore routing in React, managing side effects, and handling global state using the Context API.They will learn how to make API calls to a backend using the Axios library.
Concepts Covered
Week 09 | Building the Frontend - 4 (React - 4)
This week, learners will study the Redux library in React. They’ll learn how to create and update state by defining slices and dispatching actions to the global store. Learners will also use Axios to make API calls to the backend, enabling them to build a full-stack application.
Concepts Covered
Week 10 | Learning Break
Week 11 | Building AI-Powered Applications
This week, learners will integrate large language models (LLMs) directly into their applications to build advanced natural language processing features. They’ll craft effective prompts for tasks such as generating automated responses, rewriting content, and auto-generating tags, and execute these prompts on OpenAI LLMs using API calls. Learners will also create and run tests for the AI-powered features they implement.
Concepts Covered
Week 12 | Introduction to AI Agents
This week, learners will explore what AI agents are and how they differ from standard LLM calls. They will learn the anatomy of an agent and how tool calling, planning, and memory work together. Learners will build fully functional agents using the LangChain framework, trace agent executions, and implement safety and guardrails in their designs.
Concepts Covered
Week 13| Building Applications With Claude Code Agents
This week introduces learners to building AI-driven software workflows using Claude Code. Students learn to use Claude Code as a powerful developer agent, leveraging its multi-step reasoning and tool-calling capabilities. The module covers how Claude connects to Model Context Protocol (MCP) tools to safely read, modify, and execute code, and how to create specialized sub-agents to handle complex or multi-stage tasks.
Concepts Covered
Week 14 | Deployment on AWS
This week, learners will be guided through a step-by-step process to deploy their full-stack MERN application on AWS.
Concepts Covered
Work on hands-on full-stack projects
Apply concepts through hands-on projects covering backend, frontend, and AI-powered features
Software Development
Task Manager with GitHub Copilot
Description
Practice prompting and auto-completion in GitHub Copilot within VS Code by building a functional Task Manager application.
Skills you will learn
- GitHub Copilot
- VS Code
- JavaScript / Node.js
- React
- API integration
Database Engineering
StackOverflow App with MongoDB & Mongoose
Description
Build the schemas for the StackOverflow application on MongoDB Atlas using Mongoose. Implement CRUD operations and test their functionality
Skills you will learn
- MongoDB Atlas
- Mongoose
- Node.js
- JavaScript
- CRUD Operations
Backend Engineering
API Development for StackOverflow App
Description
Implement handlers for the API endpoints of the StackOverflow app, including creating/modifying questions and answers, upvoting/downvoting responses, and writing unit tests for the functionality
Skills you will learn
- Node.js
- Express
- JavaScript
- API Development
- Unit Testing
API Engineering
User Authentication with JWT and GenAI
Description
Implement user authentication with JWT and create authentication middleware using GenAI. Write unit and integration tests for the backend.
Skills you will learn
- JWT
- GenAI
- Node.js
- Express
- Unit & Integration Testing
20+ high-demand tools and technologies
Work with a comprehensive suite of modern, industry-standard technologies and GenAI tools used by global teams
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Javascript
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React
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Node.js
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Express
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ChatGPT
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MongoDB
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AWS
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AWS EC2
Earn a certificate of completion
Earn a globally recognized credential from a top U.S. university and showcase it to your network
* Image for illustration only. Certificate subject to change.
Meet your faculty
Learn from the top, world-renowned faculty at The University of Texas at Austin
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Dr. Kumar Muthuraman
Faculty Director, McCombs School of Business, The University of Texas at Austin
Faculty Director, Center for Analytics and Transformative Technologies
21+ years' experience in AI, ML, Deep Learning, and NLP.
Know More
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Abhay Samant
Faculty, The University of Texas at Austin
Professor of Practice and global R&D leader
Chief Software Engineer at NI with 24+ years in RF, AI, and wireless systems
Know More
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Sidney Rosario
Senior Faculty, Great Learning
PhD, INRIA France | B.Tech, IIT Bombay
Former Director of Curriculum, Masai School
Know More
LinkedIn Profile
University LinkInteract with our industry mentors
Gain applied perspectives and real-world context through interactive sessions with industry experts in A
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David Y Stephenson
Engineering Mentor at Objective Enterprises
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Vik Williamson
Principal Full Stack Software Engineer at Baxter International Inc.
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Felipe Bohorquez
Backend Software Engineer
Course Fees
The course fee is USD 2,950
EMI starting at USD 1,000/month only
Invest in your career
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Build full-stack web apps with modern frontend/backend, scalable REST APIs, auth, and integrated frontend
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Apply Generative AI tools effectively across coding, testing, debugging, and documentation workflow
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Integrate Large Language Models (LLMs) into applications using well-structured prompts and API calls
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Implement and manage AI agents and agent-based workflows for multi-step automation tasks
Easy payment plans
Avail our EMI options & get financial assistance
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INSTALLMENT PLANS
Upto 3 months Installment plans
Explore our flexible payment plans
View Plans
Third Party Credit Facilitators
Check out different payment options with third party credit facility providers
*Subject to third party credit facility provider approval based on applicable regions & eligibility
Admission process
The admission process is conducted on a rolling basis and will be closed once the requisite number of candidates are enrolled.
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Submit Application
Candidates can apply to the program online
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Review
Eligible applications will be reviewed by a panel from Great Learning
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Join the Program
An offer letter will be sent to the selected candidates
Designed for
- Individuals seeking to build or advance careers in modern software development by leveraging full-stack technologies and Generative AI tools
Application Closes
12th Feb 2026
Frequently asked questions
What is the Certificate in Generative AI for Developers?
The Professional Certificate in Generative AI and Agents for Software Development by the McCombs School of Business at the University of Texas at Austin is a 14-week program designed to equip learners with the skills required to design, build, test, and deploy full-stack applications enhanced with Generative AI capabilities.
What is the duration and format of the Professional Certificate in Generative AI for Software Development?
The “Professional Certificate in Generative AI and Agents for Software Development” is a 14-week program delivered online, featuring recorded video lectures by Texas McCombs faculty and weekly live mentorship sessions with global industry practitioners.
How is this program different from a typical full-stack developer course without AI?
Unlike typical Full-Stack development certificate courses, this program
- Emphasizes Generative AI for software development, AI-assisted coding, and agent-based workflows in addition to core full-stack skills.
- Learners work with modern, industry-standard technologies, including Node.js, Express, MongoDB, React, Redux, OpenAI APIs, LangChain AI agents, AWS, and GenAI tools.
- It combines modern MERN stack development with Generative AI tools, AI agents, and cloud deployment.
What skills will I gain from this program?
The program is designed to equip you with the skills required to design, build, test, and deploy full-stack applications while leveraging Generative AI capabilities for software development. Throughout the program, you are trained not only to use AI tools but also to critically evaluate AI-generated results, apply best practices in software design, testing, security, and scalability, and integrate AI responsibly into production-ready systems, preparing you for high-growth GenAI developer and AI Full-Stack developer roles.
What is the role of the Texas McCombs in delivering this program?
The McCombs School of Business at The University of Texas at Austin is responsible for the academic design and delivery of the program. They develop the curriculum based on their research in AI, Data Science, and Business Applications.
What certificate do I receive upon completing the program?
Upon program completion, you will earn a globally recognized Certificate of Completion from the McCombs School of Business at The University of Texas at Austin.
What career outcomes can I expect after completing this program?
After completing the program, you will be equipped to:
- Design and build end-to-end full-stack web applications using modern frontend and backend technologies.
- Develop scalable and secure backend services, including REST APIs and authentication workflows.
- Build responsive, state-driven frontend applications and integrate them with backend systems.
- Apply Generative AI tools effectively across coding, testing, debugging, and documentation workflows.
- Implement and manage AI agents and agent-based workflows for multi-step automation tasks.
- Deploy full-stack applications to cloud environments following industry best practices.
Who should enroll in this course?
This program is best suited for:
- Software development professionals looking to enhance their skills with Generative AI tools for efficient coding, testing, and problem-solving.
- IT and technology professionals who want to integrate AI into their workflows to improve productivity, automation, and team collaboration.
- Technology managers and consultants are aiming to leverage Generative AI to optimize development processes, accelerate innovation, and drive high-performing teams.
What is the application process for this program?
The admission process is conducted on a rolling basis and will be closed once the requisite number of candidates is enrolled.
- Apply: Fill out an online application form
- Review: Eligible applications will be reviewed by a panel from Great Learning.
- Join the program: An offer letter will be sent to the selected candidates.
What makes this Professional Certificate in Generative AI and Agents for Software Development suitable for working professionals?
The program is delivered in an online format with structured learning, recorded content, and applied projects, allowing working professionals to balance learning with existing commitments while gaining industry-relevant skills in Generative AI and full-stack software development.
What is the fee for this program?
The fee for the Professional Certificate in Generative AI and Agents for Software Development is $2,950 USD.
Are there any installment or flexible payment options available?
Payment options, including installments or flexible plans, may vary. Learners are advised to connect with a Program Advisor for the most accurate and up-to-date fee and payment details.
Who will be teaching this program?
The program is taught by world-renowned Texas McCombs faculty along with experienced global industry mentors, combining academic rigor with hands-on, real-world software development and AI expertise.
What projects are included in this program?
The program includes hands-on, end-to-end projects where learners build full-stack applications enhanced with Generative AI features. These projects involve applying AI-assisted coding tools, integrating LLM-powered capabilities into applications, developing AI-driven agents for real-world use cases, and deploying full-stack applications to cloud environments.
What are the tools and technologies covered in this program?
The tools and technologies covered are
- GenAI Tools: ChatGPT, GitHub Copilot, OpenAI API, Claude Code, and LangChain.
- Backend: Node.js, Express.js, Mongoose, MongoDB/MongoDB Atlas, JWT.
- Frontend: React.js, Redux Toolkit, Axios, React Router, Bootstrap, and Vitest.
- Other: AWS (EC2, S3, CloudFront), GitHub, VS Code.
What are the subjects covered in this program?
The program covers Generative AI and full-stack development topics essential for using AI for software development and AI for web development, including:
- Introduction to Generative AI and AI Tools for Coding
- MongoDB/Mongoose CRUD
- Express APIs/middleware
- JWT authentication
- React components/state/routing/Redux
- LLM integration
- AI agents (LangChain/Claude)
- AWS deployment
Does the program cover Prompt Engineering for software development?
Yes. Prompt Engineering is introduced in the early modules and applied across backend, frontend, testing, and AI integration tasks to improve code quality, productivity, and AI-assisted workflows.
Which backend technologies are included in the curriculum?
Learners work with Node.js, Express.js, MongoDB, and Mongoose, focusing on REST API development, middleware, database schema design, and CRUD operations, supported by Generative AI tools. These backend skills are critical for an Artificial Intelligence Software Developer or Full-Stack Software Developer building scalable, AI-powered applications.
What kind of learning support will I get from this program?
Through this program, you can get personalized assistance from a dedicated Program Manager and Academic Support through project discussion forums and peer groups.
What roles can I pursue after completing a Generative AI and Agents for Developers course online?
Top roles you can pursue after completing an online Generative AI for Developers course includes:
Full-Stack Developer
Backend Developer
Software Architect
Automation Engineer
Frontend Developer
AI Application Developer
Software Engineer (AI Integration)
How does this full-stack developer course use Generative AI to improve software development workflows?
The course introduces Generative AI concepts and tools that can be applied across the software development lifecycle, including coding, testing, and application development, alongside full-stack technologies.
Will this program help me become a Generative AI developer with full-stack skills?
The program helps learners build an understanding of Generative AI alongside full-stack development, enabling them to apply AI techniques within software development projects and applications.
Are learners trained in testing and quality assurance?
Yes. Learners will use Vitest to write and execute tests for backend services, APIs, and React components, ensuring reliability and performance of both traditional and AI-powered applications.
Is this program suitable for full-stack developers looking to upskill in AI?
Yes. This program is well-suited for full-stack developers who want to build on their existing development skills by learning how Generative AI tools and models can be integrated into modern software applications and development workflows. It is designed to prepare learners for Full-Stack AI developer roles.
Will there be a chance to interact with the mentors?
Yes. Learners can interact with mentors through live weekly mentorship sessions led by industry experts like Sidney Rosario and Vik Williamson. Ongoing support is provided via discussion forums and peer groups, along with direct feedback on e-portfolio development to guide learning and career progression.
How does this program equip developers with the skills to apply AI in web development?
This program integrates Generative AI with frontend and backend technologies, helping learners apply AI for web development across full-stack applications, from UI logic to AI-powered backend services.
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