Great Learning Global

The Certificate Program in Agentic AI from Johns Hopkins University is an 18-week online program designed to help professionals move from understanding AI to building, evaluating, securing and deploying autonomous AI systems.
Through a combination of JHU faculty-led masterclasses, live industry mentorship and hands-on projects, you’ll learn how to build AI agents that can reason through complex problems, use external tools, collaborate with other agents and operate reliably in production environments.

What you’ll learn:
→ Python & AI-assisted coding
→ LLMs & Prompt Engineering
→ RAG, Advanced RAG & GraphRAG
→ Agentic AI architecture, planning & reasoning
→ Single-agent & Multi-Agent Systems
→ Agent evaluation, hallucination detection & reliability
→ Responsible AI, alignment & AI security
→ Monitoring, observability & deployment
→ Reinforcement Learning & PPO
→ Claude-based AI workflows
→ Production-grade agentic systems

Tools & technologies covered include:
Python | OpenAI | Claude | LangChain | LangGraph | ChromaDB | RAGAS | DSPy | DeepEval | MCP | CrewAI | AutoGen | LangSmith | LangFuse | LangWatch | Docker | GitHub | VS Code | Google Colab | A2A | GraphRAG | Neuro-Symbolic AI | Small Language Models & more.

From Generative AI foundations to production-ready multi-agent systems, build the skills to design and deploy the next generation of AI applications.

Check out the link in the bio and explore the Certificate Program in Agentic AI from Johns Hopkins University.