develop your ai skill set
Master core machine learning concepts—without coding—in this online, asynchronous course designed for professionals across industries to interpret models, calculate key metrics like precision and recall, and select appropriate algorithms for real-world scenarios, preparing you for strategic roles in AI and data-driven decision-making.
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 Machine Learning course offers a comprehensive and accessible introduction to core machine learning concepts. Designed for professionals and students across various industries, this course equips you with the knowledge to understand, interpret, and apply machine learning models without needing to code. Whether you’re a business leader, marketing strategist, financial analyst, or career transitioner, you’ll gain valuable insights and practical skills.
Leverage the expertise of Johns Hopkins faculty and AI experts to build a strong foundation in machine learning. Each project emphasizes real-world application, ensuring you can understand and calculate key performance metrics, select and justify appropriate algorithms, and make strategic decisions in a business context. Tackle projects like calculating precision, recall, and F1 measures, and selecting appropriate algorithms for specific scenarios.
Position yourself for advanced roles such as AI project manager, data science manager, and AI consultant, while enjoying the convenience of flexible, online learning tailored to your schedule. Develop the ability to make informed decisions in a business context, enhancing your career prospects and credibility in the rapidly evolving field of AI.
Business, Marketing, Finance Professionals Managers, Consultants, Strategic Decision MakersSTEM Career TransitionersProject ManagersNon-ProgrammersDesigned by JHU Faculty, the curriculum covers key areas of gaining proficiency in Python, utilizing generative AI.
Performance Analysis
Model Optimization
Algorithm Application
Strategic Decision-Making
Problem Solving
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.
Get projects completed with AI Project Management and Labor
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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