LEARNING OUTCOMES
Drive Enterprise-Scale AI Applications
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Build End-to-End MLOps Pipelines
Learn how to design and operationalize AI and machine learning systems on cloud platforms through end-to-end MLOps pipelines
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Scale AI Solutions
Learn to deploy and scale Generative AI and Agentic AI applications in production environments using LLMOps principles and cloud-native workflows
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Practice AI Governance and Security
Evaluate, monitor, and secure AI systems, integrating governance, compliance, privacy, and security principles into design, deployment, and operation
Elite Credentials
Earn a Professional Certificate
Showcase a certificate of completion from Johns Hopkins University, a leader in education and research, to your professional network.
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#7 National University Rankings
U.S. News & World Report, 2026
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#2 Computer Information Technology
U.S. News & World Report, 2026
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#10 Most Innovative Schools
US News and World Report, 2026
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#14 Best Global University
U.S. News & World Report, 2026
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#1 Biomedical Engineering Program
US News and World Report, 2026
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CUTTING-EDGE SKILLS
Hands-On Application
Build cutting-edge AI capability through real-world case studies and hands-on projects using leading AI tools.
Enterprise LLMOps
Agentic AI Orchestration
Production MLOps Pipelines
Advanced RAG Architecture
Adversarial Workflow Testing
Drift Detection & Monitoring
Responsible AI Governance
Multi-Cloud AI Deployment
AI-Assisted Programming
Programmatic Prompt Patterns
Get Curriculum
Build real-world AI capability
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Masterclasses by JHU faculty
Participate in live sessions by Johns Hopkins University faculty, and gain valuable insights.
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Live expert-mentored sessions
Live mentor-led sessions with industry experts on real-world case studies and practical strategic AI tools.
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Hands-on learning
Work on hands-on projects and real-world case studies in industries using cutting-edge tools and technologies.
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Dedicated program support
Access a Program Manager, Academic Support, forums, and peer groups for a complete learning experience.
Who is this program for?
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Software Development Engineers
Who want to add AI, machine learning, Generative AI, and Agentic AI capabilities to production systems using modern MLOps and LLMOps practices
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DevOps, Platform, and Site Reliability Engineers
Who want to extend their expertise into model versioning, drift detection, observability, and AI system operations
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Cloud Engineers and Architects
With Azure or AWS experience who want to specialize in deploying, monitoring, scaling, and governing AI and Agentic AI systems in cloud environments.
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Data and AI Professionals
Who want to bridge the gap between model development and production deployment through end-to-end AI engineering
World-renowned faculty
Learn from renowned Johns Hopkins University faculty. Build skills to design, implement, and govern AI systems with confidence.
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Ian McCulloh, Ph.D.
Director, AI Executive & Professional Education, Johns Hopkins University
Served as Chief Data Scientist & MD of AI, Accenture Federal Services
Author of three books and over 100 peer-reviewed papers
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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
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Kiran Chittargi
Adjunct Faculty - Computer Science, Johns Hopkins University
Program Director at Microsoft
Global Expansion Lead for Azure
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Dr. Shelby Wilson
Senior Data Scientist - The Johns Hopkins University Applied Physics Laboratory
Expert in applied mathematics, computational epidemiology, and ML.
Over a decade of experience solving real-world problems with mathematical and AI tools.
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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
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Dr. William Gray-Roncal
Principal Research Scientist - Johns Hopkins University Applied Physics Laboratory
Expert in data science, neuroscience, AI, and precision medicine.
Leads cutting-edge research in brain network mapping and analysis.
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LinkedIn Profile
University LinkIn collaboration with
Johns Hopkins University collaborates with Great Learning to offer the Certificate Program in Artificial Intelligence and Agentic AI Engineering. This program leverages JHU's leadership in science and engineering research. Great Learning is a professional learning firm in 170+ countries dedicated to making professionals future-ready and manages enrollments and provides industry experts, counselors, and support to ensure students get hands-on training and live mentorship by JHU faculty.
Build Production-Grade AI Systems at Scale
Design and deploy AI systems in real-world production environments
Certificate Program in Artificial Intelligence and Agentic AI Engineering
Application closes in:
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