"Agentic AI refers to systems that don't just respond - they act. These systems initiate tasks, plan sequences of actions, coordinate with other agents or humans, and adapt as they go. Whether they're browsing the web to complete goals, orchestrating workflows across APIs, or managing entire pipelines autonomously, agentic systems are redefining what AI can do in real-world environments. For engineers and data professionals, this isn't theoretical."
"The AI landscape is shifting faster than most expected a few years ago. What started as model-centric development is now transforming into something much more autonomous, interactive, and contextual: Agentic AI. That's why the 2026 Agentic AI Summit isn't just another virtual event - it's your hands-on blueprint for mastering this next wave of AI. Agentic AI refers to systems that don't just respond - they act."
"For engineers and data professionals, this isn't theoretical. It's a skills gap - and it's opening up fast. Companies are already hiring for roles focused on agent design, multi-agent orchestration, memory systems, and tool chaining. Knowing how to train models is no longer enough. You need to know how to make them do things - reliably, efficiently, and securely. Key Points"
Agentic AI systems act autonomously, initiating tasks, planning sequences, coordinating with agents or humans, and adapting during execution. Such systems can browse the web, orchestrate API workflows, or manage pipelines to complete goals in real environments. The emergence of agentic systems creates a skills gap for engineers and data professionals, driving demand for roles in agent design, multi-agent orchestration, memory systems, and tool chaining. Training models alone is insufficient; practical skills for reliable, efficient, and secure agent behavior are required. A multi-week virtual curriculum offers interactive workshops, demos, instructors, platform credits, recorded sessions, and downloadable resources for hands-on learning.
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