

Learn to build and apply Generative AI techniques in this Generative AI course from world-renowned Johns Hopkins faculty and industry leaders. Gain in-demand GenAI skills, fine-tune LLMs, automate workflows, and lead innovation across industries.
Open to technology professionals, data analysts, technology managers, and STEM graduates seeking to build or deploy generative-AI solutions.
Participants should be prepared for hands-on projects and case studies that complement theoretical lessons.
What to expect:
Curriculum designed and delivered by JHU faculty; monthly live online master classes provide insight from experts.
Weekly mentored sessions in small groups support learning, and participants work on two hands-on projects and more than six real-world case studies.
Dedicated program managers offer personalized assistance and facilitate discussion forums; learners gain practical skills in prompt engineering, LLM fine-tuning, and generative-AI workflow design.
What you'll achieve:
Understand the theoretical foundations of generative AI and its applications, and develop models using modern machine-learning frameworks.
Apply generative-AI techniques to produce text, image, and multimedia content while evaluating ethical implications and mitigating risks.
Earn a JHU certificate of completion and 10 CEUs upon successfully finishing the course.
No certifications are covered by this course.
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