University of Kwazulu-Natal

Ai Agents Full Course 2026 Ai Agents Tutorial For Beginners How To

Bonisiwe Shabane
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ai agents full course 2026 ai agents tutorial for beginners how to

Included with.css-t3io8q{-webkit-align-items:baseline;-webkit-box-align:baseline;-ms-flex-align:baseline;align-items:baseline;background-color:rgba(255, 255, 255, 0.01);border-radius:4px;-webkit-box-decoration-break:clone;box-decoration-break:clone;color:var(--wf-text--link, #0065D1);display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;font-family:Studio-Feixen-Sans,Arial,sans-serif;font-size:inherit;font-weight:800;line-height:inherit;outline:0;-webkit-text-decoration:underline;text-decoration:underline;text-decoration-color:transparent;text-decoration-thickness:1.25px;-webkit-transition:box-shadow 125ms ease-out,background-color 125ms ease-out,text-decoration-color 125ms ease-out;transition:box-shadow 125ms ease-out,background-color 125ms ease-out,text-decoration-color 125ms ease-out;}.css-t3io8q:hover{background-color:var(--wf-bg--hover, rgba(48, 57, 105, 0.06));}.css-t3io8q:hover{box-shadow:0 0 0 2px var(--wf-bg--hover, rgba(48, 57, 105, 0.06));text-decoration-color:var(--wf-text--link, #0065D1);}Premium or Teams (Click the image above to view video of this lesson) Welcome to the “AI Agents for Beginners” course! This course provides fundamental knowledge and applied samples for building AI Agents. Join the Azure AI Discord Community to meet other learners and AI Agent Builders and ask any questions you have about this course. To start this course, we begin by getting a better understanding of what AI Agents are and how we can use them in the applications and workflows we build.

After completing this lesson, you should be able to: and get access to the augmented documentation experience Welcome to the most exciting topic in AI today: Agents! This free course will take you on a journey, from beginner to expert, in understanding, using and building AI agents. At the end of this course, you’ll understand how Agents work and how to build your own Agents using the latest libraries and tools. (We are respectful of your privacy.

We collect your email address to be able to send you the links when each Unit is published and give you information about the challenges and updates). Welcome to the fascinating world of AI agents! As technology continues to evolve, artificial intelligence is becoming an integral part of our daily lives. From smart assistants that help us manage our schedules to creative tools that assist in artistic endeavors, AI agents are not just a vision of the future; they are actively shaping our present. If you’ve ever been curious about how these digital helpers operate and how you can create your own, you’re in the right place. This article will guide you through the essentials of AI agents, their functionalities, and the tools available to build them.

AI agents are software programs designed to perform tasks autonomously or semi-autonomously. They can analyze data, make decisions, and even interact with users in a way that mimics human behavior. These agents can be categorized based on their complexity and functionality: Reactive Agents: These are the simplest forms of AI. They react to specific inputs without storing past experiences. For example, a basic chatbot that answers FAQs falls into this category.

Deliberative Agents: These agents use a model of their environment to make decisions. They can plan and execute tasks based on both current data and past experiences. An example is a virtual assistant that schedules appointments based on your preferences. Consider a smart home assistant like Amazon’s Alexa. It can play music, control smart devices, and even answer questions. Alexa is a deliberative agent because it can process user requests and provide appropriate responses based on a combination of pre-programmed knowledge and learning from user interactions.

Gain next-level skills with Coursera Plus for $199 (regularly $399). Save now. This course is part of AI Engineering Specialization Construct ReAct prompts that enable AI agents to engage in dynamic, context-aware dialogues with users. Implement loop mechanisms to ensure continuous processing and responsiveness of AI agents to ongoing interactions. Develop and integrate action functions that dictate AI agent behaviors in a variety of interaction scenarios.

AI is changing fast, but 2026 is going to be special. Until now, most people used AI like a smart chatbot: you ask a question, it gives one answer. In 2026, AI is becoming something bigger – AI agents that can plan, decide, and take actions for you. If you’re a student or 18‑year‑old beginner, this is the perfect time to start learning them. 🚀 Think of a normal AI like a calculator: you give input, it gives output.

An AI agent is more like a digital intern. You tell it a goal, and it figures out the steps, uses tools, and keeps going until it finishes the task.

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After Completing This Lesson, You Should Be Able To: And

After completing this lesson, you should be able to: and get access to the augmented documentation experience Welcome to the most exciting topic in AI today: Agents! This free course will take you on a journey, from beginner to expert, in understanding, using and building AI agents. At the end of this course, you’ll understand how Agents work and how to build your own Agents using the latest libra...

We Collect Your Email Address To Be Able To Send

We collect your email address to be able to send you the links when each Unit is published and give you information about the challenges and updates). Welcome to the fascinating world of AI agents! As technology continues to evolve, artificial intelligence is becoming an integral part of our daily lives. From smart assistants that help us manage our schedules to creative tools that assist in artis...

AI Agents Are Software Programs Designed To Perform Tasks Autonomously

AI agents are software programs designed to perform tasks autonomously or semi-autonomously. They can analyze data, make decisions, and even interact with users in a way that mimics human behavior. These agents can be categorized based on their complexity and functionality: Reactive Agents: These are the simplest forms of AI. They react to specific inputs without storing past experiences. For exam...

Deliberative Agents: These Agents Use A Model Of Their Environment

Deliberative Agents: These agents use a model of their environment to make decisions. They can plan and execute tasks based on both current data and past experiences. An example is a virtual assistant that schedules appointments based on your preferences. Consider a smart home assistant like Amazon’s Alexa. It can play music, control smart devices, and even answer questions. Alexa is a deliberativ...