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AI Agents: From Talking to Doing

Discover how AI is evolving from answering questions to completing real tasks. Learn how agents use goals, reasoning, memory, and tools to plan actions, automate workflows, and support people in practical everyday scenarios.
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AI Agents: From Talking to Doing

1

Number of sections

3

Number of lessons

1

Number of exams
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Course content
Introduction to AI Agents
Agentic Era
6 minutes 55 seconds
HTML - AI Agents
Quiz – AI Agents
3Questions
// live cohort · hands-on

AI Agents:
From Talking
to Doing.

Stop building chatbots that only answer. Learn to build AI agents that take action — call tools, run multi-step workflows, and get real work done across chat, voice and code.

6 weeks Live sessions Beginner–intermediate Build a real agent
●●○ agent · run
user
“Book a demo with the sales team for next Tuesday.”
calendar.check() crm.createLead() email.send()
✓ Meeting booked · lead synced to CRM · confirmation sent
// the curriculum

Six weeks. From prompt to production.

Every week moves you onehat acts, not just talks — building on the last until you ship something real.

01

Foundations ↗

what an agent really is

The jump from chatbot to agent. Understand the agent loop — perceive, reason, act — and why “doing” changes everything.

The agent loop. Perception → reasoning → action, andhow it repeats.
&#e="color:#f4f3fb;">Prompting for action. System prompts, roles and guardrails that keep agents ontask.
02

Tools & function calling ↗

giving the model hands

Connect your model to the real world. Define tools, ca decide when to use them.

✦Function calling. Turn any API into a tool the agent can invoke.
✦MCP & integrations. Plug into calendars, CRMs, docs and databases.
03

Memory & knowledge ↗

context that persists

Give your agent a memory and a source of truth so its brand and grounded.

✦RAG & knowledge bases. Ground answers in your own content.
✦Short- & long-term memory. Keep state across a conversation and beyond.
04

Multi-step & orchestration ↗

planning & workflows

Move beyond one call. Chain steps, plan tasks, and coordinate multiple agents to handle real work.

Planning & workflows. Break goals into steps the agentexecutes in order.
&#e="color:#f4f3fb;">Multi-agent teams. Specialised agents that hand off and collaborate.
05

Every channel ↗

chat, voice & forms

Meet users where they are. Put the same agent on your website, on WhatsApp, and on the phone.

Chat & voice. One agent, many surfaces, anylanguage.
&#e="color:#f4f3fb;">Human handoff. Know when — and how — to route to a person.
06

Ship it ↗

deploy, monitor, trust

Take your agent live. Deploy it, watch it, and put the guardrails in place that make it safe to trust.

Deployment & monitoring. Ship to production and track everyrun.
&#e="color:#f4f3fb;">Guardrails & evals. Testing, safety and quality you can measure.

Teachers

Dr. Emily Carter
0.0
Ph.D. in Computer Science from Stanford University
Michael Thompson
0.0
M.Sc. in Artificial Intelligence with 10 years of industry experience designing AI-powered business solutions.

Tips and questions

Olivia Bennett AI Agents: From Talking to Doing

AI agents use multiple tools

30/07/2026
 Reply Open course
Ethan Carter AI Agents: From Talking to Doing

difference between an AI assistant and an AI agent

30/07/2026
 Reply Open course
Noah Mitchell AI Agents: From Talking to Doing

What are the main risks

30/07/2026
 Reply Open course