SANTA CLARA, CA, Nov. 22, 2025 (GLOBE NEWSWIRE) — SANTA CLARA, CA – November 22, 2025 – –
Interview Kickstart, a U.S.-based provider of technical upskilling programs for software and data professionals, has announced the launch of its Applied Agentic AI Pathway, a seven-week training program developed to help engineers gain practical experience in designing and deploying agent-based artificial intelligence systems. Visit the Interview Kickstart website to learn more about the Low-Code Autonomous AI Agent Systems Course.
Agentic AI involves autonomous systems capable of independently performing tasks, collaborating with other agents, and optimizing actions based on real-time conditions. As organizations across finance, operations, logistics, and software engineering integrate multi-agent systems into existing workflows, the need for professionals who can build and support these systems continues to increase. Interview Kickstart’s new course aims to address this demand by offering a structured and applied learning pathway.
The program provides participants with live instruction from engineers and AI practitioners at FAANG and Tier-1 technology companies. These instructors bring direct experience from projects involving generative models, multi-agent frameworks, and large-scale automation pipelines. Their sessions cover practical considerations such as system coordination, agent communication protocols, performance scaling, and model optimization strategies.
The Applied Agentic AI Pathway includes two live guided projects and a capstone project, which allow participants to build functioning agentic workflows using real tools and datasets. These projects simulate scenarios where autonomous agents must collaborate to complete tasks, retrieve data, or support automated decision-making within enterprise environments. Through these hands-on assignments, learners gain practical exposure to the challenges associated with deploying agent-based systems at scale.
The curriculum covers several core themes, including Foundations of Agentic AI, Multi-Agent Financial Systems, Optimization Strategies for AI Agents, and an end-to-end capstone that requires participants to apply their learning to a real-world problem. Instruction emphasizes both conceptual clarity and practical implementation, enabling learners to understand how autonomous agents operate within broader AI ecosystems.
A spokesperson for Interview Kickstart said, “Agentic AI represents an important shift in how automated systems are designed and managed. This program gives engineers a structured environment to learn how autonomous agents function and how these systems can be applied to solve real operational challenges.”
