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Professional Certificate in Generative AI and Agents for Software Development

Professional Certificate in Generative AI and Agents for Software Development

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Application closes 11th Jun 2026

Why Should You Join This Program?

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    Hands-On Full-Stack AI Software Development Program

    Build a practical understanding of AI-powered software applications from Texas McCombs faculty & industry experts and work on hands-on projects & case studies using 18+ tools

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    Texas McCombs is a top-ranked US University

    Learn from a top U.S. business school, ranked #1 in Information Systems, #6 for Master’s in Business Analytics, #7 in Artificial Intelligence, and #9 in Business Analytics in the U.S

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LEARNING OUTCOMES

What Will You Learn to Build and Apply?

Through a structured learning journey, you will build the capability to:

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    Build full-stack AI applications using modern frameworks, databases, and software development tools

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    Integrate LLMs into software applications using APIs, prompt engineering, and retrieval-based workflows

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    Develop AI agents and agentic workflows using industry frameworks, tools, and development platforms

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    Build secure backend services and REST APIs with authentication, testing, and AI-assisted workflows

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    Deploy AI-powered applications on AWS using modern cloud infrastructure and deployment practices

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    Create a portfolio of AI projects that demonstrates expertise in AI-enabled software development

Earn a certificate of completion and CEUs from Texas McCombs, a top-ranked U.S. University

  • #1 (U.S., Big Data Management) in MS Business Analytic

    #1 (U.S., Big Data Management) in MS Business Analytic

    Eduniversal (2025)

  • #6 Analytics

    #6 Analytics

    U.S. News & World Report (2025)

  • #6 Business Programs

    #6 Business Programs

    U.S. News & World Report (2025)

  • #7 in MS - Business Analytics

    #7 in MS - Business Analytics

    QS World University Rankings (2022)

  • #7 in MS Business Analytics

    #7 in MS Business Analytics

    The Financial Engineer Times (2025)

  • #3 in Information Systems Graduate Programs

    #3 in Information Systems Graduate Programs

    U.S. News & World Report (April 2025)

  • #7 Public University in the U.S.

    #7 Public University in the U.S.

    U.S. News & World Report, 2026

  • #6 in Executive Education - Custom Programs

    #6 in Executive Education - Custom Programs

    Financial Times, 2022

KEY PROGRAM HIGHLIGHTS

Why Choose This Program?

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    Learn from Texas McCombs Faculty

    Build the foundations and technical judgment needed to develop AI-powered applications through a curriculum designed and taught by Texas McCombs faculty

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    Attend Weekly Live Mentorship Sessions with Industry Experts

    Learn from AI practitioners through interactive mentorship sessions featuring real-world AI software development use cases, implementation frameworks, and industry insights

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    Work on Hands-On Projects and Build a Shareable Portfolio

    Apply concepts through multiple full-stack and AI-powered projects that demonstrate your ability to build, deploy, and scale AI-enabled software applications

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    Develop Full-Stack AI Applications With Industry Tools

    Build practical expertise using 18+ tools and technologies, including GitHub Copilot, Claude Code, LangChain, React, Node.js, MongoDB, and AWS

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    Get Personalized Learning Support

    Get 1:1 support from a dedicated Program Manager to stay on track and complete the program with ease

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    Earn a Recognized Credential from Texas McCombs

    Earn a Certificate of Completion from the McCombs School of Business at The University of Texas at Austin upon successful completion of the program

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
  • Career Support
  • Fees
  • FAQ
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Who Is the Program For?

Professionals looking to build AI-powered applications or transition into AI-enabled software development role

  • Software Developers

    Build practical expertise in GenAI and AI agents to create AI-powered applications and accelerate software delivery

  • IT and Technology Professionals

    Integrate AI into software workflows to improve productivity, automate repetitive tasks, & build AI-enabled solutions

  • Engineering and Technology Leaders

    Develop the technical depth needed to drive AI adoption & implementation across engineering teams

  • Professionals Transitioning into AI-Enabled Roles

    Build AI-powered applications and a project portfolio to transition into AI-enabled software roles

How's the Learning Experience of the Program?

Build strategic judgement and human intuition with our unique structured learning approach

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    Learn from Experts

    Learn from Texas McCombs faculty and industry experts to master AI strategy and implementation

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    Learn By Doing

    Work on business problems & case studies using 18+ tools & build an e-portfolio of AI projects

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    Earn a University Credential

    Earn a certificate of completion from Texas McCombs upon completion of the program

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    Get Support Throughout the Learning Journey

    Program managers will help you stay on track, navigate key milestones & complete the program

What Will You Learn in the Program?

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.

  • Hands-On

    Full-Stack Projects

  • 20+

    Tools And Frameworks

  • Weekly

    Live Mentorship Sessions

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:

- HTML, CSS, and Bootstrap Fundamentals - Responsive Webpage Development - JavaScript Data Types, Operators, and Functions - Scope, Execution Context, and Objects - DOM Manipulation and Event Handling - ES6 Features (let/const, Classes, Destructuring, Rest/Spread) - Iterables, Maps, and Sets - Asynchronous JavaScript: Callbacks, Promises, async/await - Fetch API and Client–Server Communication - Error Handling and Browser Storage

Course 1: Introduction to Generative AI and AI Tools for Coding

Week 01 | Introduction to Generative AI and AI Tools for Coding

This week introduces learners to Generative AI concepts and AI-assisted coding tools used throughout the program. Learners gain foundational knowledge of prompt engineering and learn how AI tools such as ChatGPT and GitHub Copilot support modern software development workflows. Concepts Covered: - Introduction to Generative AI and Its Applications - Introduction to ChatGPT - Prompt Engineering: Best Practices - Introduction to GitHub Copilot + VS Code - AI-Assisted Code Generation (HTML, CSS, JavaScript)

Course 2: Building the Backend

Week 02 | Building the Backend - 1 (MongoDB and Mongoose)

This week introduces backend development with Node.js and MongoDB. Learners use Generative AI to design, implement, and test database schemas while applying best practices for schema design and CRUD operations. Concepts Covered: - Overview of Node.js, Event Loop, and Asynchronous Programming - Setting up a Basic Node.js Server - Introduction to MongoDB and Mongoose - Creating Database Schemas in Mongoose Using Generative AI - CRUD Operations on MongoDB Using AI-Assisted Workflows - AI-Generated Test Data for Database Validation

Week 03 | Building the Backend - 2 (Express - 1)

This week focuses on REST API development using Express.js. Learners implement API endpoints with AI assistance and apply principles of effective API design and modular backend architecture. Concepts Covered: -Express.js fundamentals - Middleware and modular backend architecture - API design best practices - REST API design using Generative AI - Implementing APIs with AI Agents - AI-driven Code Review

Week 04 | Building the Backend - 3 (Express - 2)

This week covers authentication, authorization, and backend security. Learners implement JWT-based authentication and apply best practices for securing APIs and validating backend functionality through testing. Concepts Covered: - User Authentication and Authorization With JWT - Protecting Routes With Authentication Middleware - Securing APIs (Rate Limiting, Helmet.js) - Testing of Backend Services

Week 05 | Learning Break

Course 3: Building the Frontend

Week 06 | Building the Frontend - 1 (React - 1)

This week covers core React concepts and introduces AI-assisted UI development. Learners focus on building reusable components and testing frontend logic using modern tools. Concepts Covered: - React fundamentals and project setup with Vite - Components, JSX, and Virtual DOM - Props, state, and event handling - Forms and controlled components - AI-assisted React component generation - Testing React components with Vitest

Week 07 | Building the Frontend - 2 (React - 2)

This week focuses on styling, lifecycle concepts, and side-effect management in React applications. Concepts Covered: - Component Lifecycle - Styling React Components With Bootstrap - Lists, Keys, and Form Handling - Managing Side Effects With UseEffect - Visual Context and Skills for Agents

Week 08 | Building the Frontend - 3 (React - 3)

This week introduces routing, global state management, and backend integration in React applications. It also introduces agent-based UI test automation with Playwright. Concepts Covered: - Routing With React Router - Global State Management With Context API - Integrating Frontend with Backend - Building React Components with AI - UI Test Automation with Playwright

Week 09 | Building the Frontend - 4 (React - 4)

This week introduces Redux for scalable state management in React applications. It also covers background agents and Cloud agents in Github Copilot. Concepts Covered: - Introduction to Redux Store, Actions and Reducers - Modern Redux Toolkit and Asynchronous Calls - Background Agents for Integration Testing and Accessibility Audit - Cloud Agent for Refactoring UI State Management

Week 10 | Learning Break

Course 4: AI Applications and Agents

Week 11 | Building AI-Powered Applications

This week focuses on integrating AI features into existing applications using Gemini and OpenAI API calls. Learners are introduced to the core features of the Claude Code AI coding agent. They also use Claude Code to build AI features into an existing application. Concepts Covered: - LLM integration use cases Gemini and OpenAI API - Rate limits, costs, and optimization strategies - Core Concepts and workflows in Claude Code - Building AI features with Claude Code

Week 12 | Introduction to AI Agents and Agentic Systems

This week introduces learners to the foundations of AI agents and how they differ from traditional, single-step LLM interactions. Learners explore the core building blocks of agentic systems, including planning, tool usage, memory, and execution flow, and build functional AI agents using the LangChain framework. Emphasis is placed on understanding agent workflows and tracing execution paths for reliability and transparency. Concepts Covered: - Anatomy of an AI Agent (LLM, Tools, Memory) - Planning and Multi-step Reasoning -Introduction to Model Context Protocol (MCP) - Building AI Agents with LangChain

Week 13 | Agent-Driven Development with Claude Code

This week focuses on building agent-driven development workflows using Claude Code. It introduces a spec-driven development approach, where learners first define implementation requirements and workflows through structured specification documents before using Claude Code to implement features incrementally. Emphasis is placed on effective human-AI collaboration and best practices for managing complex development tasks through sub-agents and modular execution strategies. Concepts Covered: - Claude Code as a Developer Agent - Spec-driven development - Creating and Orchestrating Sub-Agents - Agent-Driven Software Workflows

Course 5: Deployment on AWS

Week 14 | Deployment on AWS

This week introduces the foundations of cloud computing and AWS global infrastructure, including hands-on experience launching and managing EC2 instances. Learners explore modern application deployment using Docker, including the differences between virtual machines and containers, the Docker ecosystem, and container-based deployment workflows. They also configure cloud-hosted applications by setting up EC2 environments, deploying Dockerized applications, and exposing deployed applications for public access on AWS. Concepts Covered: - Fundamentals of Cloud Computing, Cloud Architecture Concepts - AWS Infrastructure and Hands-on usage of EC2 instances - Containerization with Docker, Docker Workflows - Deploying and Hosting Applications on AWS using EC2, Docker, and MongoDB integration

Self-Paced Module | Claude-Based AI Workflows

This module is designed to build practical capability in applying Generative AI and Agentic AI using the Claude ecosystem in real-world contexts. Participants build the ability to design, execute, and evaluate AI-driven workflows for real-world applications, supported by ~5 hours of structured learning.

Design and Execute AI Workflows

- Model selection and prompt engineering using Claude Chat - Agentic workflow design and orchestration using Claude CoWork - Plan → Approve → Execute → Iterate framework - Designing workflows with reasoning, tools, and multi-step execution - Applying concepts through real-world case studies

Build and Deploy AI Systems at Scale

- API integration and model usage using Claude Code - Tool integration using the Model Context Protocol - Designing agentic systems with memory, tools, and orchestration - Performance optimization, cost considerations, and system reliability - Responsible AI principles, including alignment approaches such as Constitutional AI

What Case Studies & Projects Will You Solve?

Work on real-world case studies across industries & functions using 18+ AI tools and technologies

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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
  • API integration
  • HTML
  • CSS
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Database Engineering

StackOverflow App with MongoDB & Mongoose

Description

Build schemas for a StackOverflow application on MongoDB Atlas using Mongoose. Implement CRUD operations and validate backend functionality through testing.

Skills you will learn

  • MongoDB Atlas
  • Mongoose
  • Node.js
  • JavaScript
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API Engineering

Building APIs with JWT Authentication for StackOverflow

Description

Implement API handlers to create and modify questions and answers. Implement secure user authentication using JWT and build authentication middleware using Generative AI. Write unit and integration tests to ensure end-to-end backend security and reliability

Skills you will learn

  • Node.js
  • Express
  • API Development
  • Unit Testing
  • JWT
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Frontend Developement

Frontend Development with React Bootstrap for StackOverflow

Description

Generate React code for the UI pages of the StackOverflow application. Integrate React Bootstrap into the components, use React hooks for fetching and updating data

Skills you will learn

  • React
  • Javascript
  • GitHub Copilot
  • UI Component Development
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User Interface Engineering

Advanced Frontend Features and Full Stack Integration

Description

Implement advanced frontend capabilities for the StackOverflow application, including routing with React Router. Use Redux for state management and connect the frontend to the backend using Axios to create a fully integrated full-stack application.

Skills you will learn

  • Redux
  • React
  • Frontend
  • Backend Integration
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AI Feature Integration

AI Feature Integration in StackOverflow Application

Description

Implement AI-powered features in the existing application, including question rewording, automatic tag generation, and auto-generated responses to user questions.

Skills you will learn

  • Claude Code
  • OpenAI/Gemini APIs
  • JavaScript
  • React
  • Node.js
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Full Stack Developement

Full Stack Development With Claude Code

Description

Rebuild and enhance the StackOverflow application by leveraging Claude Code agent capabilities to plan, implement, debug, and test application features

Skills you will learn

  • Claude Code
  • JavaScript
  • React
  • Node.js
  • Agent-driven Development
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E-Commerce Application

Full Stack Application On E-Commerce

Description

Build a full-stack e-commerce app with user authentication, product browsing, a persistent shopping cart, order management, and a review system. Users can browse/filter products, place orders, and review purchased items, while admins get a full dashboard to manage products, orders, and users.

Skills you will learn

  • :MERN stack (MongoDB
  • Express
  • React
  • Node.js)
  • Redux
  • Recharts
  • Bootstrap
  • Axios
  • RESTful APIs
  • data modeling
  • encryption algorithms
  • JWT authentication
  • Vitest
  • Claude Code / GitHub Copilot
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Finance Tracking Application

Fullstack Application on Finance

Description

Build a full-stack application for end users. The application provides interactive graphs to analyze data (monthly and category-wise spending, etc.), which supports tracking and settling group expenses with a single click, and offers a rich, responsive UI for viewing and managing both personal and shared expenses.

Skills you will learn

  • MERN stack (MongoDB
  • Express
  • React
  • Node.js)
  • Redux
  • Recharts
  • Bootstrap
  • Axios
  • RESTful APIs
  • data modeling
  • encryption algorithms
  • JWT authentication
  • Vitest
  • Claude Code / GitHub Copilot
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Cloud Infrastructure

Full Stack Deployment on AWS

Description

Deploy the complete full-stack application on AWS, ensuring seamless integration between the backend, frontend, and database infrastructure.

Skills you will learn

  • AWS EC2
  • Docker
  • MongoDB
  • Full Stack Deployment
  • Cloud Infrastructure

Which Tools Will You Learn and Apply?

Work with a suite of 20+ modern, industry-standard technologies and GenAI tools used by global teams

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    Github Copilot

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    ChatGPT

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    Claude Code

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    LangChain

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    Javascript

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    HTML 5

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    CSS3

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    Node.js

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    Express

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    React

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    Redux Toolkit

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    Axios

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    MongoDB

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    MongoDB Atlas

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    Vitest

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    Git

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    Github

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    AWS EC2

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    Docker

Earn a certificate of completion

Earn a globally recognized credential from a top U.S. university and showcase it to your network

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* Image for illustration only. Certificate subject to change.

Who Are the Faculty for the Program?

Learn from renowned Texas McCombs faculty and build technical intuition to make credible, strategic decisions

  • Dr. Kumar Muthuraman - Faculty Director

    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 Director

    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 - Faculty Director

    Sidney Rosario

    Senior Faculty, Great Learning

    PhD, INRIA France | B.Tech, IIT Bombay

    Former Director of Curriculum, Masai School

    Know More
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Who Are the Mentors for Weekly Live Sessions?

Learn from seasoned industry mentors in weekly live sessions to apply concepts and build practical skills

  • David Y Stephenson - Mentor

    David Y Stephenson linkin icon

    Engineering Mentor at Objective Enterprises
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  • Isaac Grey - Mentor

    Isaac Grey linkin icon

    Senior Software Engineer at Prompt
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  • Andres Cala - Mentor

    Andres Cala linkin icon

    Senior Software Engineer at athenahealth
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What Support Will You Receive to Advance in Your Career?

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    1:1 Career Sessions

    Interact personally with industry professionals to get valuable insights and guidance

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    Interview Preparation

    Get an insiders perspective to understand what recruiters are looking for

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    Resume and Profile Review

    Get your resume and LinkedIn profile reviewed by our experts to highlight your AI & ML skills & projects

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    E-Portfolio of Hands-On Projects

    Build an industry-ready portfolio to showcase your mastery of skills and tools

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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    14-Week Online Comprehensive Journey: Build job-ready Data Analytics & AI skills

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    Structured Learning: Dedicate 8–10 hours weekly to faculty videos, mentor sessions, and hands-on AI projects

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    Dedicated Mentorship: Attend weekly live online sessions with top Industry Mentors and build AI Agents

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    Earn a globally recognized Texas McCombs certificate to validate your AI expertise

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Easy payment plans

Avail our EMI options & get financial assistance

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Application Closes: 11th Jun 2026

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Application Closes: 11th Jun 2026

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Application Process

The application 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

Limited seats available

Become an AI Native full- stack developer today!

Apply Now

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Frequently Asked Questions

Program Details
Admissions and Eligibility
Fee and Payment
Faculty, Curriculum and Projects
General Queries
Program Details

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.

Admissions and Eligibility

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.



  1. Apply: Fill out an online application form
  2. Review: Eligible applications will be reviewed by a panel from Great Learning.
  3. 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.

Fee and Payment

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.

Faculty, Curriculum and Projects

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.


Role

Name

Designation

Affiliation

Faculty Director

Dr. Kumar Muthuraman

Faculty Director – Center for Research and Analytics

McCombs School of Business, University of Texas at Austin

Faculty

Abhay Samant

Faculty

McCombs School of Business, University of Texas at Austin

Senior Faculty

Sidney Rosario

Senior Faculty

Great Learning

Engineering Mentor

David Y. Stephenson

Engineering Mentor

Objective Enterprises

Faculty Director/Mentor

Vik Williamson

Principal Software Engineer

Baxter

Mentor

Felipe Bohorquez

Backend Software Engineer

Industry Practitioner



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 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.

General Queries

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.

Professional Certificate in Generative AI and Agents for Software Development

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phone icon Application Closes 11th Jun 2026

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