Building Autonomous Systems: The Agentic Era
Master the transition from chatbots to autonomous agents that observe, reason, and act to solve complex tasks.
By the end you will
- Architect multi-agent systems that coordinate to resolve end-to-end issues.
- Implement RAG (Retrieval Augmented Generation) to ground agents in real-time data.
- Design 'Human-in-the-loop' systems for high-stakes autonomous actions.
- Understand the infrastructure requirements of the 'AI Runtime' and 'Software 3.0'.
The AI revolution we've anticipated for decades isn't coming—it's here, and AI agents are leading the charge. These autonomous digital workers represent a fundamental shift from traditional AI systems that simply respond to queries to intelligent s
Why this next: Introduces the fundamental shift from responsive AI to proactive autonomous agents.
Artificial intelligence is undergoing a profound transformation. Gone are the days when AI could only work with what it had memorized during training. Two revolutionary approaches are now reshaping what's possible: Retrieval Augmented Generation (RAG) and Re
Why this next: Teaches RAG and ReAct, the essential techniques for grounding AI in reality.
What if your support chat didn’t just explain the fix but executed it end to end in under a minute? We explore the move from conversational help to true autonomy, where multiple specialized agents collaborate under an orchestrator to verify identity, update recor
Why this next: Explores how orchestration allows agents to execute complex, multi-step resolutions.
The moment an AI agent can issue refunds or change accounts, the conversation shifts from capability to responsibility. We dig into how to design trust between people and machines by choosing the right oversight model for the job: human in the loop for high-stake
Why this next: Focuses on the critical design boundary between machine autonomy and human oversight.
AI is starting to feel less like a feature you bolt onto a product and more like a system you have to run. That shift is easy to miss until you try to build something real: a workflow that calls APIs, keeps context across sessions, coordinates tasks, pauses for h
Why this next: Examines the technical shift toward AI runtimes as the new foundation for system development.