
AgileFever’s Agentic AI courses are intended to educate professionals for the next wave of AI innovation: autonomous agents capable of planning, reasoning, and acting with minimum human intervention. Our flagship Agentic AI Certification includes frameworks such as CrewAI, LangGraph, and AutoGen, allowing students to create multi-agent systems with memory, cooperation, and tool integration. You will get hands-on experience installing production-grade agents and even learn how to package them as an Agent-as-a-Service. As the subject advances, AgileFever will continue to introduce advanced courses to ensure that learners have practical, future-ready Agentic AI abilities.

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AgileFever’s Agentic AI Certification teaches professionals how to design, construct, and deploy autonomous AI agents. This course covers AI agent frameworks such as CrewAI, LangGraph, and AutoGen, as well as concepts like memory persistence, planning, tool use, multi-agent cooperation, and deployment. Learners will also look at sophisticated applications including AI safety, alignment, and constructing Agent SaaS solutions. With hands-on labs and a capstone project, participants graduate with the capacity to create production-ready AI agents, multi-agent workflows, and autonomous systems, preparing them for new careers in Agentic AI development, LLM engineering, and intelligent automation.
The Agentic AI Certification gave me the skills to design my first multi-agent system. I even deployed an autonomous CRM assistant as my capstone project.
CrewAI and LangGraph sessions were outstanding. The course made complex frameworks simple, and I left with a working prototype for my company.
This is by far the most practical AI course I’ve taken. From memory integration to SaaS deployment, every session was directly useful.
Schedule a 1-on-1 call with a course advisor for quick answers about our Agile Management programs.
Agentic AI refers to AI systems (agents) that can reason, plan, use tools, and collaborate with other agents to achieve goals autonomously.
Basic Python and LLM familiarity are recommended, but prior ML expertise is not mandatory.
CrewAI, LangGraph, and AutoGen are the primary frameworks covered.
You’ll build agents that use memory, interact with APIs, collaborate as multi-agent systems, and deploy them to cloud environments.
It’s a 100% live, instructor-led program with labs and demos.
FAISS, Pinecone, Docker, Hugging Face Spaces, and other popular agent deployment tools.
Yes. After successful completion, you’ll receive Agilefever’s Agentic AI Certification.
Yes. You’ll learn Dockerization, cloud deployment, and productizing agents into Agent SaaS apps.
Yes. Resume building, mock interviews, and portfolio review are part of the BootCamp.
You’ll graduate with deployable skills in building and scaling AI agents—opening roles in Agentic AI development, LLMOps, and autonomous systems engineering.
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