develop your ai skillset
Learn to design and lead real-world AI solutions and build a pilot PoC using the ROAD framework—no technical background required. Perfect for professionals ready to apply AI in practical business settings.
Johns Hopkins University Certificate of CompletionCurriculum designed and delivered by JHU FacultyReal-world relevant content and use casesLIVE monthly seminars with JHU Faculty
The course is live. Click Register to start. Investment: $500
A4 Weeks • Online • Hands-on Projects • $500
Earn a certificate of completion from JHU, a recognized leader in education and research. Earn 2 Continuing Education Units (CEUs) upon course completion.
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Johns Hopkins Engineering Lifelong Learning’s online and asynchronous Foundations of AI course is designed for learners of all backgrounds. It offers a comprehensive introduction to AI concepts, terminologies, and methodologies. Guided by experienced Johns Hopkins faculty and AI experts, you will gain a solid grounding in essential topics such as machine learning, natural language processing, computer vision, and graph analytics.
The course includes practical projects like designing an AI Pilot Proof of Concept (PoC) and a capstone project using the ROAD framework. These projects allow learners to apply AI concepts to real-world business challenges, demonstrating their understanding and ability to create actionable AI solutions. This course equips you with the foundational knowledge to leverage AI technologies effectively in your day-to-day work, opening career opportunities in roles such as AI project managers, AI strategy developers, and AI consultants.
Professionals in Non-Technical RolesExperienced ManagersStudents seeking foundational AI knowledgeGraduates interested in AI-driven industry opportunitiesDesigned by JHU Faculty, the curriculum covers key areas of gaining proficiency in Python, utilizing generative AI.
AI Fundamentals
Machine Learning
Natural Language Processing
Computer Vision
Graph Analytics
Engage in dynamic, interactive learning from anywhere in this online, asynchronous course.
Johns Hopkins University faculty are readily accessible to address your questions in the course, ensuring a personalized learning experience.
Content and use cases ensure it is current and relevant to today’s civil space exploration.
Hands-on activities that ensure you leave with actionable takeaways.
Dr. Ian McCulloh leads AI Continuing and Executive Education at Johns Hopkins University, where he specializes in data science, network analysis, and artificial intelligence. He holds a PhD in Computer Science from Carnegie Mellong University.McCulloh’s professional experience includes leading the U.S. Army’s network science initiative and establishing Accenture’s U.S. Federal AI practice, where he grew a team of over 1,200 professionals. His work spans advanced data analysis, machine learning, and Python programming, with applications in healthcare, defense, and business. He is a published author in peer-reviewed journals and has taught courses in data science and AI, making him uniquely qualified to lead a course in Python programming. McCulloh’s teaching emphasizes practical applications, bridging technical expertise with real-world problem-solving.
Transform your skills with Generative AI
4 Weeks • Online • Hands-on Projects
4 Weeks • Online • Hands-on Projects
12 Weeks • Online • Hands-on Projects
4 Weeks • Online • Hands-on Projects • $500
Submit your details below to learn more about the course curriculum, benefits, fee and more.
Submit your details below to learn more about the course curriculum, benefits, fee and more.
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