develop your ai skill set
Focus on practical applications of AI through real-world case studies, interactive exercises, and a capstone project. Gain the strategic leadership skills to align AI projects with business goals, build high-performing teams, and meet evolving market demands.
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.
Johns Hopkins Engineering Lifelong Learning’s online and asynchronous AI Project Management and Labor course bridges the gap between AI technology and organizational strategy. This course focuses on the people, processes, and financial factors driving successful AI initiatives. If you’re a professional facing challenges in aligning AI-driven projects with business objectives—or navigating AI-specific challenges like staffing and structuring AI teams—this course is for you. You’ll gain skills to build and manage AI teams that meet evolving market demands and organizational goals.
Throughout the course, you’ll cover the lifecycle of AI projects, focusing on practical applications through real-world case studies, interactive exercises, and a capstone project. You’ll develop specialized skills in AI project management, including team design, talent strategy, and operational models. Each assignment provides hands-on experience in real-world scenarios, fostering practical skills in team coordination, project strategy, workforce management, and preparing you to tackle structural and operational challenges in AI project execution. Benefit from insights of Johns Hopkins experts into how AI reshapes project lifecycles and labor dynamics. This knowledge will empower you to lead successful AI initiatives, optimize your team’s impact, and implement AI projects effectively.
Designed by JHU Faculty, the curriculum covers key areas of gaining proficiency in Python, utilizing generative AI.
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
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.