Johns Hopkins University’s new Certificate Program in Agentic AI is a compact, practical pathway for professionals who want to design and deploy autonomous AI systems. Delivered fully online over 16 weeks, the program blends instructor‑led material, industry mentorship, and hands‑on projects so learners graduate with usable skills rather than just theory.
What the program teaches
The curriculum focuses on building agentic systems—AI agents that perceive, reason, plan and act autonomously. You’ll learn how agentic approaches differ from traditional AI and how to integrate Large Language Models into multi‑step, decision‑making workflows. The program emphasizes practical techniques and toolchains used in industry.
Hands‑on, project‑driven learning
Students complete multiple hands‑on projects (examples include a Smart Data Processing Agent that automates expense processing) that require Python and real engineering workflows. Course work uses familiar development environments such as Google Colab and VS Code, and covers vector databases (Chroma, Pinecone), retrieval‑augmented generation (RAG), LangChain and LangGraph, DSPy, OpenAI Autogen, and other libraries and patterns for building agents.
Who it’s for and prerequisites
The program is aimed at people who want to develop AI systems that autonomously make decisions and adapt to changing environments. While prior experience is beneficial, the certificate includes a Python prework module so beginners can build foundational skills before the core 16‑week curriculum.
Faculty, mentors and industry connections
Course content is designed and taught by Johns Hopkins faculty and industry practitioners. Industry mentors come from notable companies such as Apple, BlackRock, Workday, Newmark and Capital One—bringing real‑world perspectives on building and deploying agentic solutions.
Credentials, cost and logistics
On successful completion, learners receive a Johns Hopkins University Certificate of Completion and 11 Continuing Education Units. The published program fee is $3,000; information about payment plans and financial assistance is available through the program advisor. Admissions follow a rolling process and will close when enrollment targets are met.
Why this matters
Agentic AI represents a shift toward systems that can plan and act across multiple steps rather than merely replying to single prompts. For practitioners and teams aiming to adopt these capabilities, Johns Hopkins’ program promises a direct route: structured learning, industry feedback, and concrete projects that mirror real business use cases.
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