AI Agents 101
Beg-Int · Virtual · All levels
AI agents go beyond single prompts: they plan, use tools (search, code, APIs), and iterate toward a goal. In this course you'll learn what makes an agent different from a chatbot, how to design prompts and tool calls, and how to wire up simple agent loops (e.g. with an LLM API and a few tools). You'll also touch on evaluating behavior and designing tasks so agents stay on track. The class includes a hands-on project: building a small agent (e.g. research assistant or coding helper) that uses real tools and data.
Who it's for
- Developers or technical users who want to build with LLMs in an agentic way
- Product or eng folks exploring AI-powered workflows and automation
- Anyone who has used ChatGPT and wants to go deeper into reasoning and tools
What you'll learn
- What AI agents are: definitions, examples, and how they differ from single-turn chatbots
- Core concepts: prompts, system vs user messages, and token basics
- Tools and function calling: defining tools, passing them to the model, and handling responses
- Agent loops: plan → act (call tools) → observe → repeat until done or max steps
- Designing good tasks and instructions so agents stay on goal and avoid drift
- Using external APIs and data inside agent loops (e.g. search, databases, code execution)
- Structuring outputs (e.g. JSON) and parsing tool results for the next step
- Error handling and timeouts so agent workflows fail gracefully
- Evaluating agent behavior: correctness, safety, and when to add guardrails
- Hands-on project: build a simple agent (e.g. research or coding helper) with real tools
Pricing by lesson pack
Each lesson is a 45–60 minute live session (video call): one topic, you type the code, your instructor guides. Choose how many lessons you want; more lessons = better per-lesson rate.
No pre-recorded videos—real-time, at your pace.
Really competitive pricing—one-time payment per pack, no subscriptions.
Enroll now