AI Agents
Explore the curriculum below — full access included.
A course on AI agents that covers what actually separates an agent from a chatbot or basic AI, then goes through the mechanics: how an agent processes a prompt (tokenization, embeddings, attention, intent extraction), how it operates internally through the Agent Loop and the ReAct pattern, and the reasoning methods it uses to make decisions (Chain-of-Thought, Tree of Thoughts, Plan-then-Execute, Self-Check). It also covers core concepts like autonomy, memory types, and multi-agent systems; technical terms such as RAG, vector databases, and hallucination; how agents are actually built and secured (architecture, MCP, prompt injection, security practices); two full step-by-step walkthroughs; real-world examples across coding, customer support, research, and industries like healthcare and finance; and a closing look at the benefits, risks, costs, and future direction of the technology.
In this course, we cover the essential components of AI Agents. This module is designed for both beginners and professionals looking to sharpen their skills.
- Expert Modules: Step-by-step guidance from industry mentors.
- Practical Implementation: Real-world use cases and tools.
- Certification: Earn a valid certificate upon 100% completion.