Johns Hopkins University

Johns Hopkins University (JHU) is a world-renowned university ranked #6 in the National University Rankings (U.S. News & World Report, 2025) and #14 Best Global University (U.S. News & World Report, 2025).

Yes, flexible EMI options and financial assistance may be available to eligible candidates. Please check with the admissions team for more information on the Johns Hopkins University application requirements.

By the end of the JHU programs, you will receive a certificate of completion from JHU. It confirms the skills you have gained, but it doesn’t grant JHU alumni status because this is a professional certificate, not a degree.

Yes, JHU certificate programs offer networking opportunities with industry mentors. These programs include 

• Live mentorship sessions led by industry experts where you can gain professional insights, clarify doubts, and receive personalized project feedback.
•  Interaction with mentors from top companies such as Apple, BlackRock, Workday, Capital One, and Newmark. 
• Access to curated micro-classes and interactive sessions designed to deepen your understanding and align learning with industry needs. 
• Opportunities to connect with experienced professionals through discussion forums and peer groups supported by dedicated program managers. 

This structured mentorship and networking support help learners stay aligned with real-world applications and enhance career advancement prospects.

JHU certificate programs are aligned with current industry tools and technologies; however, the specific tools, platforms, and depth of coverage may vary by program. 

Depending on the certificate, learners may gain hands-on exposure to Generative AI and Large Language Model (LLM) workflows, including ChatGPT-based applications, Prompt Engineering techniques such as retrieval-augmented generation (RAG), and practical use of AI and machine learning frameworks like Hugging Face, Transformers, TensorFlow, and LangChain. 

Programs may also incorporate Python-based AI workflows, agentic AI concepts, and real-world projects or case studies to demonstrate applied use across different sectors. This approach ensures learners develop practical, up-to-date skills aligned with evolving industry standards in generative AI and LLM technologies.

JHU certificate programs include modules on Generative AI, Agentic AI, and Large Language Models (LLMs) as follows: 

The Certificate Program in Agentic AI covers Agentic AI design, agent architectures, reinforcement learning, human-agent collaboration, and LLM integration, including Prompt Engineering. 

The Certificate Program in Applied Generative AI focuses on Generative AI techniques, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and Agentic AI workflows with LLM-powered applications. 

The Certificate Program in Artificial Intelligence: Applied ML, GenAI, and Agents covers Python programming, data handling, and the development and tuning of Machine Learning and deep learning models. Advanced modules focus on Generative AI and the creation of Large Language Model (LLM)-powered and agentic AI applications. 

The Certificate Program in Generative AI & Agents Fundamentals includes dedicated modules on Agentic AI, covering the evolution, autonomy, memory, reasoning, and tool use of AI agents. It features Introduction to AI Agents and Business applications and agentic workflows, with a strong emphasis on hands-on understanding of agentic behavior alongside generative AI fundamentals. 

Overall, these programs cover foundational to advanced topics in GenAI, Agentic AI, and LLMs with hands-on projects and real-world case studies.

• A dedicated Program Manager 
• Academic learning support via the GL community 
• Project discussion forums and peer groups. 

Learners also receive mentorship from industry experts and participate in live masterclasses with JHU program faculty, ensuring ample interaction and guidance throughout the program.

• Develop a deep understanding of Agentic AI, enabling you to design systems that autonomously make decisions and adapt to new information. 
• Gain practical experience with tools like OpenAI LLMs, Python, and reinforcement learning, making you highly competitive in AI-related roles.

• Hands-on projects using Python, OpenAI LLMs, and advanced AI frameworks like Reinforcement Learning and Multi-Agent Systems. 
• Monthly live masterclasses by JHU faculty and 15 live sessions with industry experts. 
• A flexible online format that allows working professionals to learn without disrupting their careers. 
• Personalized assistance with a dedicated Program Manager and academic learning support via GL community, project discussion forums, and peer groups.

• Completion of an undergraduate degree from an accredited institution. 
• For international students, additional requirements such as language proficiency may apply. 

*These requirements vary by program. Please contact the program advisor for more information on admission requirements.