Drive Innovation with Applied GenAI Skills
Certificate Program in Applied Generative AI
Application closes on
18th Sep 2025
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Certificate Program in Applied Generative AI
Application closes 18th Sep 2025
Program Outcomes
Build and deploy Generative AI solutions
Learn to leverage Generative AI to solve business challenges and drive innovation
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Understand GenAI foundations and apply techniques to create text, image, and multimedia content
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Develop and train GenAI models with ML frameworks, and analyze GenAI’s impact on industries and society
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Master the art of building intelligent AI agents to power real-world, agentic workflows and personalized automation
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Implement best practices and evaluate ethical considerations to mitigate potential risks in Generative AI solutions
Earn a Certificate of Completion from Johns Hopkins University
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#6 National University Rankings
U.S. News & World Report, 2025
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#1 Computer Information Technology
U.S. News & World Report, 2025
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#13 Best Global University
U.S. News & World Report, 2024
Key program highlights
Why choose the Certificate Program in Applied Generative AI
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Live Masterclasses with JHU Faculty
Participate in monthly live sessions led by Johns Hopkins University faculty, which offer the latest insights and practical guidance on AI strategy.
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Weekly Mentored Learning Sessions
Participate in interactive, mentor-led sessions where industry experts present case studies and provide deep insights into AI applications in business.
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GenAI Applications
Gain expertise in Generative AI, learning how to design automated workflows and build AI applications that address business needs.
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Dedicated Program Support
Access to academic learning support, a dedicated program manager, and peer groups through discussion forums for a comprehensive learning experience.
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Earn a Certificate of Completion from JHU
Upon successful completion, earn a prestigious certificate and 10 CEUs from Johns Hopkins University, recognizing your proficiency in Generative AI
Skills you will learn
Prompt Engineering
Solving Natural Language Problems
Building Generative AI Workflows
Python for Artificial Intelligence
Ethical AI Practices
Evaluating Generative AI Solutions
Fine-tuning LLMs
Agentic AI Development
Secure AI Development
Prompt Engineering
Solving Natural Language Problems
Building Generative AI Workflows
Python for Artificial Intelligence
Ethical AI Practices
Evaluating Generative AI Solutions
Fine-tuning LLMs
Agentic AI Development
Secure AI Development
- Learning Journey
- Curriculum
- Projects
- Tools
- Certificate
- Faculty
- Mentors
- Fees
- FAQ
This program is ideal for
Individuals looking to explore how Generative AI can solve real-world business problems
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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
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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
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Technology Consultants and Technical Managers
Seeking to understand GenAI, apply best practices, manage risks, and guide technical teams in developing AI solutions
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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
Experience a unique learning journey
Our pedagogy is designed to ensure career growth and transformation
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Learn from world-renowned faculty
Learn critical concepts through live masterclasses and recorded video lectures by JHU faculty
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Engage with your mentors
Clarify your doubts and gain practical skills during weekly live mentorship sessions with industry experts
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Work on hands-on projects
Work on projects to apply the concepts & tools learnt in the module
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Get personalized assistance
Our dedicated program managers will support you through your learning journey
Comprehensive Curriculum
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.
Pre-work
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.
Module 1: Learning Python with Generative AI
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.
Week 1: Generative AI Landscape
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.
Week 2: Python Programming with Generative AI - Part 1
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.
Week 3: Foundation of AI
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.
Week 4: Python Programming with Generative AI - 2
Module 2: Generative AI for Business Productivity
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.
Week 5: Natural Language Processing And Image Classification
Week 6: Transformers for Large Language Models
Week 7: Prompt Engineering
Week 8: Classification, Content Generation, and Summarization with Gen AI
Week 9: Project - 1
Week 10: Learning Break
Module 3: Designing Advanced Generative AI Workflows
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.
Week 11: Secure and Responsible Gen AI Solutions
Week 12: Developing Agents with LangChain
Week 13: Retrieval Augmented Generation (RAG) Search
Week 14: Advanced RAG
Week 15: Fine-Tuning and Customization of Generative AI
Week 16: Project-2
Work on hands-on projects and case studies
Engage in hands-on projects and real-world case studies using emerging tools and technologies across sectors
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2
hands-on projects
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10+
real-world case studies
Artificial Intelligence / Productivity Software
GenAI Secretary-Email Summarization And Priority Assistant
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
- Prompt Engineering
- OpenAI
- Classification
- Summarization
- LLM Evaluation
Research & Academia
AI for Research Proposal Automation
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
- Prompt Engineering
- OpenAI
- RAG
- Embeddings
- Tokenization
- Query Expansion
- Summarization
Finance
AI-Powered Loan Default Prediction
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
- Python
- Model Building
- Evaluation
Sports Analytics
AI-Driven Sentiment Analysis for NFL Draft
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
- Tokenization
- Embedding
- Model Building
Master in-demand AI tools
Gain hands-on experience with top AI tools
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ChatGPT
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Open AI
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Python
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Transformers
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BERT
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Llama
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RAG
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Vector Database
Earn a certificate of completion from Johns Hopkins University
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.
Meet your faculty
Gain access to world-class coaching from renowned faculty and industry experts.
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Dr. Ian McCulloh
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
Know More
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Dr. Pedro Rodriguez
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
Know More
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Dr. Iain Cruickshank
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
Know More
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Dr. Pavankumar Gurazada
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.
Know More
LinkedIn Profile
University LinkInteract with our mentors
Interact with dedicated and experienced AI experts who will guide you through your learning journey
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Jeremy Samuelson
Principal Data Scientist & ML Engineer, Equifax
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Bhaskarjit Sarmah
Head RQA AI Labs, BlackRock
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Tanya Glozman
Applied Science - AI/ML, Apple
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Bridget Huang-Gregor
Tech Lead Engineering , Capital One
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Program fee
The course fee is 2,950 USD
Advance your career
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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
Easy payment plans
Avail our EMI options & get financial assistance
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INSTALLMENT PLANS
Upto 12 months Installment plans
Explore our flexible payment plans
View Plans
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discount available
2,950 USD 2,650 USD
2,950 USD 2,800 USD
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
Application process
Our application process close once the requisite number of participants enroll for the upcoming batch
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1. Fill application form
Apply by completing the online application form.
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2. Application screening
A panel from Great Learning will review your application to determine your fit for the program.
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3. Join the Program
After a final review, you will receive an offer for a seat in the upcoming cohort of the program.
Batch start date
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Online · 11th Oct 2025
Admission closing soon
Frequently asked questions
What is the Generative AI course offered by Johns Hopkins University?
This is a certificate program in Applied Generative AI, offered by Johns Hopkins University. This 16-week online program is designed to equip professionals with advanced skills in Generative AI.
This Applied Generative AI Program includes theoretical foundations with practical case studies on cutting-edge topics like Large Language Models, Natural Language Processing, and Retrieval Augmented Generation.
What are the highlights of the Generative AI course?
The Applied Generative AI Program from Johns Hopkins University is a transformative online learning program that equips professionals with advanced skills in Generative AI. Here are some of the highlights of the program:
Online Format: The program is delivered online, with classes conducted through interactive live mentorship and recorded video lectures. You will receive monthly live masterclasses by JHU faculty.
World-class faculty: The course is taught by world-class faculty and experts who have real-world experience leading AI practices at Fortune 500 companies.
Research-driven curriculum: The comprehensive curriculum of the Gen AI program ensures that the learners gain the most up-to-date knowledge.
In-demand tools and libraries: JHU’s incomparable curriculum will help you learn the most in-demand Gen AI tools and languages, including Python, Google Colab, BERT, VS Code, Vector Database (Chroma/Pinecone), Transformers, RAG (Retrieval Augmented Generation), and Quick Fine-Tuning Techniques.
Certificate from JHU: Earn a certificate from Johns Hopkins University upon completion of the course.
Continuing Education Units: Earn 10 Continuing Education Units (CEUs) upon program completion.
Learning support: Get personalized assistance from a dedicated program manager and academic support through the GL community, project discussion forums, and peer groups.
What are the key outcomes of this Gen AI course?
By the end of this Applied Generative AI Program, you will be able to:
- Understand the theoretical foundations of Generative AI and its applications
- Apply Generative AI techniques to create text, image, and multimedia content
- Implement best practices to mitigate potential risks in Generative AI solutions
- Develop and train Generative models using contemporary Machine Learning frameworks.
- Evaluate the ethical implications of Generative AI
- Critically analyze the impact of Generative AI on various industries and society as a whole.
What is the duration of this Generative AI course with a certificate?
The duration of this Applied Gen AI program 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
- Recorded video lectures
- Interactive mentoring sessions, and
- 2 live masterclasses by JHU faculty
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:
- Key Concepts of Generative AI
- Large Language Models
- Python Programming with Generative AI
- Foundations of AI
- Generative AI for Business Productivity
- Natural Language Processing
- Predictive Analytics, Neural Networks, and Deep Learning
- Prompt Engineering
- Classification, Content Generation, and Summarization with Generative AI
- Designing Advanced Generative AI Workflows
- Secure and Responsible Generative AI Solutions
- Developing Agents with Langchain
- Retrieval Augmented Generation (RAG) Search
- Advanced RAG
- Fine-Tuning and Customization of Generative AI
Is there any project included?
Yes, a project based on leveraging Generative AI models for business is included in the curriculum of the Applied Generative AI program. You will begin this project in Week 9, followed by a one-week break.
Will I receive any learning and Academic support in JHU’s Generative AI course?
Yes, the Applied Generative AI Program offers comprehensive learning support, including:
- Personalized assistance from a dedicated program manager to stay on track and manage your learning journey effectively.
- Academic support through the GL community, project discussion forum, and peer groups.
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:
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 certification 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 will help you in enhancing your understanding with GL Coach, an AI-powered learning assistant.
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
- Learn from JHU faculty and industry leaders.
- Build real-world GenAI applications and workflows.
- Work on projects and case studies aligned with business needs.
- Gain expertise in tools like LLMs, RAG, and Python.
- Earn a certificate and 10 CEUs from Johns Hopkins University.
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.
This program is for:
- Technology professionals
- Data professionals
- Technology Consultants and Technical Managers
- STEM (Science, Technology, Engineering, and Mathematics) Graduates
Can I pursue this program while working full-time?
Yes, definitely. The classes are held on weekends, which allows you to pursue this program while working full time.
What is the admission process for the Generative AI program?
The admissions for the program close once the required number of participants enroll. Apply early to secure your spot. Here are the steps for admissions:
1. Fill application form
2. Interview process
3. Join program
What are CEUs, and how are they useful?
CEUs, or Continuing Education Units, are a recognized measure of participation in professional programs. Earning 10 CEUs from Johns Hopkins University demonstrates your commitment to formal learning and strengthens your credentials in the AI space.
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:
- Healthcare: Generating medical summaries, patient communication, and drug discovery insights.
- Finance: Automating reporting, fraud detection, and personalized financial advice.
- Marketing: Creating ad copy, product descriptions, and targeted campaigns.
- Technology: Powering AI copilots, code generation, and virtual assistants.
- Retail & E-commerce: Enabling personalized recommendations and chatbot support.
- Media & Entertainment: Generating scripts, music, visual assets, and game narratives.
What roles can I pursue after completing this Gen AI program?
After completing the Applied Generative AI Program, you will be prepared to pursue roles such as:
- Generative AI Engineer
- LLM Developer / Specialist
- Applied AI Scientist
- AI Product Manager
- Machine Learning Engineer
- AI Consultant or Innovation
- Lead Data Scientist
- AI Research Scientist
- Prompt Engineer
- NLP Engineer Robotics Engineer
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 Generative AI certification and all learning materials?
The program fee includes access to all course materials, live masterclasses, mentorship, and from Johns Hopkins University.
Application Closes
18th Sep 2025
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