Agentic AI Engineering with Claude Code

The Agentic AI Engineering with Claude Code course by the Data Science Academy is meticulously designed for software engineers, AI developers, and tech innovators who want to move beyond simple prompt engineering into the realm of fully autonomous agentic workflows. As the industry shifts from static chat interfaces to proactive, goal-driven AI systems, understanding how to engineer agentic behavior is a critical modern skill. Throughout this comprehensive training, students will master the core architecture of autonomous systems, focusing on how to implement tool calling to connect Claude with external APIs, relational databases, and enterprise systems. The curriculum dives deep into building robust state management, integrating both short-term and long-term memory architectures so agents retain crucial context across complex tasks. Additionally, learners will discover how to orchestrate multi-agent systems using advanced supervisor-worker patterns and strategic task delegation. By exploring practical planning techniques, optimization strategies, and deployment best practices, participants will gain the hands-on expertise required to build resilient, cost-efficient, and highly scalable AI agents capable of solving real-world challenges independently.