Master the future of autonomous intelligence.
Progress from foundational AI concepts to building complex, multi-agent systems through hands-on projects and interactive simulations.
Syllabus Topics
Interactive Simulator
Test your agent logic in our sandbox environment to see how it plans, thinks, and uses tools in real-time.
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Build Real AI Agents
Apply your skills to real-world challenges. Design, build, and test autonomous agents that plan, reason, and execute complex goals.
Agent uses a planner to break down queries, search tools to fetch data, and a summarizer to compile findings.
Agent uses a code-execution sandbox, file-system tools, and a reasoning loop to refine code iteratively.
Agent uses multi-step planning to sequence bookings and a memory module to track user preferences.
Agent uses RAG to query textbooks and a quiz-generation engine to test student knowledge.
Orchestrator agent delegates tasks to specialized agents (Searcher, Analyst, Writer) with shared memory.
Agent uses a knowledge base, sentiment analysis, and a human-in-the-loop escalation trigger.
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