- The 22-week online program offered by Johns Hopkins University focuses on the development, deployment, and operation of AI and Agentic AI systems in both cloud environments and real-world production settings.
- Participants will have access to recorded lectures, live masterclasses by Johns Hopkins University faculty, weekly mentorship sessions with industry experts, case studies, and hands-on projects as part of their learning experience.
- The curriculum covers a wide range of topics including AI foundations, Generative AI, Agentic AI, AI Ops, MLOps, LLMOps, deployment, monitoring, security, and Responsible AI.
- Upon successful completion of the program, participants will receive a Certificate of Completion and 16 Continuing Education Units from Johns Hopkins University.
Johns Hopkins University has introduced its Certificate Program in Artificial Intelligence and Agentic AI Engineering, which is a comprehensive 22-week online program tailored for individuals with programming experience who wish to work on building, deploying, and managing AI systems.
The program addresses the challenges faced in enterprise AI adoption, emphasizing the need for operational expertise in deployment, monitoring, security, governance, and ongoing AI operations.
Why Is Production-Ready AI Engineering Important for Agentic AI?
Gartner predicts that over 40% of Agentic AI projects may be canceled by the end of 2027 due to rising costs, unclear business value, and inadequate risk controls. This highlights the necessity for organizations to move beyond AI prototypes and focus on developing systems that can be effectively deployed, monitored, secured, and governed in a production environment.
The program emphasizes the significance of production-ready AI skills, citing the increasing demand for AI engineering talent in organizations incorporating AI systems into their products and processes.
Curriculum and Learning Outcomes
The 22-week curriculum is structured to cover AI and Generative AI foundations, AI Ops, MLOps, LLMOps, deployment, observability, security, and Responsible AI. Participants will progress from foundational concepts to production-grade AI engineering through four comprehensive courses.
Throughout the program, participants will engage in hands-on projects and case studies across various industries, applying their knowledge of AI and Agentic AI concepts using tools such as Python, Pandas, Scikit-Learn, MLflow, LangChain, LangGraph, and OpenAI APIs.
Faculty and Industry Expertise
The program is delivered by renowned faculty members from Johns Hopkins University and industry experts with extensive experience in Artificial Intelligence, AI engineering, data science, cloud technologies, and Agentic AI. Participants will benefit from mentorship sessions with industry professionals to enhance their learning experience.
Who Is the Program For?
The program is designed for technology professionals with prior programming experience who aim to develop the necessary skills to build, deploy, and operate AI systems in production environments. It caters to software development engineers, DevOps and platform engineers, cloud architects, data and AI professionals, as well as technology leaders seeking to enhance their AI expertise.
Certificate and Program Recognition
Upon successful completion of the program, participants will receive a Certificate of Completion and 16 Continuing Education Units (CEUs) from Johns Hopkins University. The program also offers the opportunity to build an e-portfolio showcasing hands-on projects and proficiency in AI tools and technologies.
About Johns Hopkins University
Johns Hopkins University is a leading institution known for its expertise in Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, engineering, and related fields. The program leverages the university’s interdisciplinary approach to examine the development and operation of AI systems in real-world scenarios.
About Great Learning
Great Learning, the program partner, collaborates with academic institutions like Johns Hopkins University to offer professional education programs in technology, data, and business domains. Their support ensures the successful delivery of the Certificate Program in Artificial Intelligence and Agentic AI Engineering.
