Go beyond chat-based AI. Learn to build AI agents that can plan, reason, use tools, and execute multi-step workflows autonomously. This is the skill set behind the next wave of AI applications — from automated research assistants to self-orchestrating business workflows.
Connect to OpenAI, Anthropic, and open-source LLMs via APIs. Learn to chain prompts, manage context, and handle rate limits in production code.
Give agents persistent memory — conversation history, learned preferences, and long-term context. Build agents that improve with every interaction.
Build agents that interact with external tools — search engines, databases, file systems, calculators, and custom APIs. The agent decides which tool to use and when.
Build end-to-end automated workflows: data ingestion → processing → decision-making → action. Real-world applications in customer support, content creation, and operations.
Design systems where multiple AI agents collaborate — a planner agent, a researcher agent, and an executor agent working together to solve complex problems.
Implement guardrails, approval gates, and human-in-the-loop checkpoints. Autonomous doesn't mean unsupervised — learn when and how to keep humans in contro
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