Framework-Based AI Agent Development for Developers

As artificial intelligence evolves, the demand for developers who can build autonomous, goal-oriented AI agents is skyrocketing. Transitioning from writing standard static code to building self-directing AI systems requires a solid understanding of orchestration frameworks and agentic design patterns. This text-based course guides you through the foundational concepts of AI agent architecture, helping you leverage modern coding frameworks to design systems that can reason, plan, use external tools, and collaborate to solve complex tasks. You will learn how to structure agent decision-making loops and integrate external data sources effectively. By reading this course, you will understand how to: * Understand the core architecture of autonomous AI agents and orchestration frameworks * Implement function calling and tool integration to connect agents to external APIs * Configure short-term and long-term memory systems for persistent agent state * Design multi-agent collaboration patterns to solve multi-step workflows * Apply Retrieval-Augmented Generation (RAG) to ground agent responses in custom data * Practice debugging and evaluating agent behavior for reliability and safety The curriculum starts with essential terminology and basic agent patterns before moving into step-by-step code walkthroughs and architectural designs. You will read through clear explanations and structured code examples that demonstrate how to orchestrate single and multi-agent systems. This course is designed for software developers and programmers looking to enter the AI space, requiring no prior experience with AI frameworks. Start building your first code-based AI agents today.