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Application closes 20th Nov 2025
Program Outcomes
Learn to leverage Generative AI to solve business challenges and drive innovation
Understand GenAI foundations and apply techniques to create text, image, and multimedia content
Develop and train GenAI models with ML frameworks, and analyze GenAI’s impact on industries and society
Master the art of building intelligent AI agents to power real-world, agentic workflows and personalized automation
Implement best practices and evaluate ethical considerations to mitigate potential risks in Generative AI solutions
#6 National University Rankings
U.S. News & World Report, 2025
#1 Computer Information Technology
U.S. News & World Report, 2025
#13 Best Global University
U.S. News & World Report, 2024
Key program highlights
Participate in monthly live sessions led by Johns Hopkins University faculty, which offer the latest insights and practical guidance on AI strategy.
Participate in interactive, mentor-led sessions where industry experts present case studies and provide deep insights into AI applications in business.
Gain expertise in Generative AI, learning how to design automated workflows and build AI applications that address business needs.
Access to academic learning support, a dedicated program manager, and peer groups through discussion forums for a comprehensive learning experience.
Upon successful completion, earn a prestigious certificate and 10 CEUs from Johns Hopkins University, recognizing your proficiency in Generative AI
Skills you will learn
Individuals looking to explore how Generative AI can solve real-world business problems
Technology Professionals
Who want to learn and apply GenAI to build and deploy AI-driven solutions at work or for personal projects using OpenAI and open-source LLMs
Data Professionals
Professionals seeking to uncover deeper insights and expand their expertise in text generation, image processing, and data analysis. They will also learn to deploy GenAI solutions
Technology Consultants and Technical Managers
Seeking to understand GenAI, apply best practices, manage risks, and guide technical teams in developing AI solutions
STEM Graduates
Who wish to upskill through hands-on training in Generative AI and become part of a cutting-edge industry with significant growth potential
Our pedagogy is designed to ensure career growth and transformation
Learn critical concepts through live masterclasses and recorded video lectures by JHU faculty
Clarify your doubts and gain practical skills during weekly live mentorship sessions with industry experts
Work on projects to apply the concepts & tools learnt in the module
Our dedicated program managers will support you through your learning journey
Certificate Program in Agentic AI
Build autonomous, goal-driven AI agents capable of perceiving, reasoning, and acting independently.
Reach out to your Program Advisor for more details
* Image for illustration only. Certificate subject to change.
The curriculum, designed by the faculty of Johns Hopkins University, Great Learning, and leading industry practitioners, is taught by the best-in-class professors and practicing industry experts. The program aims to acquaint the learners with the skills needed to solve problems and deploy Generative AI solutions for various business applications.
This module provides all the necessary tools for your learning journey and establishes a solid foundation in three essential domains: Python programming, Introduction to AI and its applications, and Statistics.
This module provides a comprehensive introduction to Python programming fundamentals, focusing on Generative AI, and offers a solid understanding of how Large Language Models work.
This week, you will learn the key concepts of Generative AI, how large language models (LLMs) function, what’s under the hood, and why they behave the way they do. The week will conclude with an exploration of business applications of Generative AI across industries and functions, such as Marketing, Healthcare, and Productivity.
This week, you will learn how to use Generative AI models to generate code for simple Python-based applications, like a calculator or a database. You will also learn how to ask ChatGPT for lessons, generate code, interpret and debug code, and more.
This week, you will learn the fundamentals of Machine Learning, which are essential for understanding how LLMs work at an intuitive level. Additionally, you will learn how to build ML classifiers using Generative AI and evaluate various Machine Learning models with the help of Generative AI.
This module offers an opportunity to learn how to solve a variety of business problems using Generative AI. You will explore techniques such as text summarization, text classification, and text generation through prompting or Prompt Engineering with LLMs.
This module will focus on building and deploying advanced Generative AI solutions and agents using Retrieval-Augmented Generation (RAG) and fine-tuned Large Language Models (LLMs). You will learn to implement these technologies securely and responsibly for both private and public applications.
Engage in hands-on projects and real-world case studies using emerging tools and technologies across sectors
2
hands-on projects
10+
real-world case studies
Artificial Intelligence / Productivity Software
Description
Develop an AI-powered ‘secretary’ that assists users in managing emails more efficiently by highlighting the most urgent messages, summarizing email threads, and improving overall productivity. The project aims to leverage Generative AI models for classifying, prioritizing, and summarizing emails to provide concise, actionable insights for users.
Skills you will learn
Research & Academia
Description
Develop a Generative AI system that automates the drafting of NIH research proposals by aligning ideas with Notices of Funding Opportunities (NOFOs) and generating high-quality, structured content.
Skills you will learn
Finance
Description
Develop an AI-driven predictive model to identify high-risk loan applicants with greater accuracy. By analyzing applicant data, credit scores, and loan types, the model reduces subjectivity in loan approvals and flags potential defaults before they occur.
Skills you will learn
Sports Analytics
Description
Leverage natural language processing (NLP) to analyze Reddit discussions around NFL draft picks and uncover fan sentiment toward players. This project focuses on automating sentiment classification to provide teams, scouts, and analysts with data-driven insights that support more informed draft decisions.
Skills you will learn
Gain hands-on experience with top AI tools
ChatGPT
Open AI
Python
Transformers
BERT
Llama
RAG
Vector Database
Get a globally recognized credential from a top U.S. university and showcase it to your network
* Image for illustration only. Certificate subject to change.
Gain access to world-class coaching from renowned faculty and industry experts.
Manager, AI Continuing and Exec Ed, Johns Hopkins University
Served as Chief Data Scientist and MD of AI at Accenture Federal Services
Author of three books and over 100 peer-reviewed papers
Faculty, Johns Hopkins University AI Program
Oversees 250+ AI/ML researchers on projects for the Department of Defense, Intelligence Community, and other government agencies
Brings 20+ years of expertise in AI/ML algorithms for detection, tracking, classification, and sensor fusion
Faculty Member, Johns Hopkins University
ML expert applying AI to intelligence, cybersecurity, and social data
Ph.D, Societal Computing, Carnegie Mellon University School of Computer Science
Senior Faculty, Academics, Great Learning
15+ years of experience in marketing, digital marketing, and machine learning.
Ph.D. from IIM Lucknow; MBA from IIM Bangalore; IIT Bombay graduate.
Interact with dedicated and experienced AI experts who will guide you through your learning journey
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Read our learners experience of the program support, faculty & mentors
The program equips professionals to build and apply Generative AI with real-world coding experience.
I joined the program to go beyond the buzz and truly understand how AI systems work. As someone in new business sales at Dow Jones, I’ve seen Generative AI’s potential to transform workflows in finance, and I wanted to be hands-on with it. The program offered weekly coding tasks, hands-on experience with LLM workflows, and real-world tools like LangChain and LangGraph. We built classifiers using noisy data, explored Prompt Engineering, autonomous agents, and more. The sessions on responsible AI were especially impactful, highlighting the importance of trust and fairness in technology. My final project; a Python-powered stock analysis bot, equipped me with practical skills that I now apply at my work. This isn’t a no-code program, it’s designed for professionals eager to build, code, and learn by doing. If you're ready to get technical and push your learning further, it’s absolutely worth the investment.
Read More
New Business Sales Executive , Dow Jones
29th May 2025
Exceptional mentorship and support made the learning experience highly rewarding.
The academic team and Program Manager were exceptional, always available to answer questions, not just about lectures but also more advanced and related topics. The mentored sessions were a standout component and played a big role in the program’s success. I would definitely recommend this program.
Read More
Assistant Professor , Rollins School of Public Health at Emory University
28th May 2025
The program provided hands-on expertise to apply Generative AI to real-world challenges.
Completing the Certificate Program in Applied Generative AI from Johns Hopkins University was both challenging and deeply rewarding. The structured learning path and dedicated mentorship helped me overcome initial anxiety and stay focused on my goals. With hands-on experience using tools like LangChain, vector databases, and RAG, the program built a strong foundation in applying AI to real-world challenges. My background in biotech and education made the content especially relevant across industries. The program ultimately empowered me to think creatively about AI’s potential and how I can use it to make an impact.
Read More
AI Prompting Specialist Custom GPT Designer , Dustin Allen Ziplines Education
11th May 2025
The course fee is 2,950 USD
Understand GenAI foundations and apply techniques to create text, image, and multimedia content
Develop and train GenAI models with ML frameworks, and analyze GenAI’s impact on industries and society
Master the art of building intelligent AI agents to power real-world, agentic workflows and personalized automation
Implement best practices and evaluate ethical considerations to mitigate potential risks in Generative AI solutions
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Our application process close once the requisite number of participants enroll for the upcoming batch
Apply by completing the online application form.
A panel from Great Learning will review your application to determine your fit for the program.
After a final review, you will receive an offer for a seat in the upcoming cohort of the program.
Admission closing soon
What is the Applied Generative AI Program offered by Johns Hopkins University?
The Certificate Program in Applied Generative AI is a 16-week online program offered by Johns Hopkins University. It is designed to equip professionals with advanced knowledge and practical skills in Generative AI. This Applied Generative AI Program combines theoretical foundations with real-world case studies on cutting-edge topics such as Large Language Models (LLMs), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG).
What are the highlights of the Generative AI course?
The Certificate Program in Applied Generative AI from Johns Hopkins University is a comprehensive online learning experience designed to equip professionals with advanced skills in Generative AI. Here are some of the highlights of the program:
What are the key outcomes of this Gen AI course?
By the end of the Certificate Program in Applied Generative AI, you will be able to:
What is the duration of this Generative AI course with a certificate?
The duration of the Certificate Program in Applied Generative AI is 16 weeks.
What is the structure and format of this Generative Artificial Intelligence program?
The Applied Generative AI program is offered in a flexible online format that includes
What topics are covered in the curriculum of this Generative AI course by JHU?
The topics in the curriculum of this Applied Generative AI program include:
Is there any project included?
Yes, the program includes a project focused on applying Generative AI models to real-world business scenarios. You will begin the project in Week 9 of the program, followed by a one-week break.
Will I receive any learning and Academic support in JHU’s Generative AI course?
Yes, the Certificate Program in Applied Generative AI offers comprehensive learning support, including:
What is the expected weekly time commitment for this program?
The weekly commitment will be 8-10 hours per week.
Who will be teaching this course?
This course is taught by renowned academicians and leading AI experts with real-world experience in leading AI practices at Fortune 500 companies. Here are some of the faculty and industry mentors teaching this course:
Dr. Ian McCulloh
Faculty Leader in AI and Strategy, Johns Hopkins University
Dr. Pedro Rodriguez
Faculty Member, Johns Hopkins University
Dr. Iain Cruickshank
Faculty Member, Johns Hopkins University
Dr. Pavankumar Gurazada Senior
Faculty, Academics, Great Learning
Note: This is an indicative list and is subject to change based on the availability of faculty and mentors
Will I receive a Gen AI certificate from Johns Hopkins University upon completing this program?
You will receive a Certificate of Completion from Johns Hopkins University upon successful completion of the program. This is a certificate and not a certification.
What are the rankings of JHU?
JHU is a world-renowned university, which is ranked #6
National University Rankings (U.S. News & World Report, 2025)
#13 Best Global University (U.S. News & World Report, 2024)
What is the role of Great Learning in this program?
The Applied Generative AI program at Johns Hopkins University is delivered in collaboration with Great Learning. Great Learning is a professional learning company with a global footprint in 14+ countries. Its mission is to make professionals around the globe proficient and future-ready. This program leverages JHU's leadership in innovation, science, engineering, and technical disciplines developed over years of research, teaching, and practice. Great Learning manages the enrollments and provides industry experts, student counselors, course support, and guidance to ensure students get hands-on training and live personalized mentorship on the application of concepts taught by the JHU faculty.
How does this course help in transitioning to GenAI roles?
This Applied Generative AI Program offers a practical, hands-on approach to mastering Generative AI. You will
Together, these elements equip you with the skills, portfolio, and credibility needed to confidently transition into GenAI roles across industries.
Who is this program for?
This Applied Generative AI Program is designed for individuals who are looking to explore how Generative AI can address real-world business problems, and is ideal for:
Can I pursue this program while working full-time?
Yes. The program is designed for working professionals. Classes are scheduled on weekends, allowing you to balance your coursework with full-time professional commitments.
What is the admission process for the Generative AI program?
What is the total fee for the program?
The total fee for the Applied Generative AI Program is USD 2950.
Are payment plans or financing options available?
Yes, flexible EMI options and financial assistance may be available to eligible candidates. Please check with the admissions team during your application process.
Does the fee include the Generative AI certificate and all learning materials?
The program fee includes access to all course materials, live masterclasses, mentorship, and a certificate of completion from Johns Hopkins University.
What are CEUs, and how are they useful?
Upon successful completion of the program, you will earn 10 Continuing Education Units (CEUs) along with a certificate of completion from Johns Hopkins University. CEUs are a measure of instructional time and reflect the estimated time an average student will spend completing the mandatory components of a course. CEUs are awarded upon successfully completing all course requirements, which may include assessments, assignments, evaluations, or a final project. Earning CEUs allows professionals to demonstrate their commitment to continuous learning and skill advancement
How is Generative AI being used across industries?
Generative AI has become essential in almost every sector to automate processes, enhance customer experiences, streamline operations, and drive innovation. Here is how it is used in various sectors:
Application Closes
20th Nov 2025
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