AI courses
Introduction to AI Agents
A no-code introduction to AI agents, including memory, tool use, orchestration, reasoning patterns, workplace applications, and responsible use.
- Provider
- DataCamp
- Level
- Beginner
- Duration
- 1 hr 30 min
- Format
- Online, Self-paced
About
DataCamp’s Introduction to AI Agents explains agentic AI for beginners who want conceptual and workplace context without a programming-led course. It introduces the components named in the course record—memory, tool use, orchestration, and reasoning patterns—and connects them to possible workplace applications and responsible use. The course is most useful for understanding how an agent differs from a single generative AI response and how several components work together. It does not replace developer training for implementing, testing, or deploying agent systems.
Opens an external website in a new tab.
Learning Outcomes
- Explain how memory, tool use, orchestration, and reasoning contribute to an AI agent workflow
- Distinguish an agentic process from a single prompt-and-response interaction
- Assess introductory workplace uses of AI agents while accounting for responsible human oversight
Skills Covered
AI Agents, Agentic AI, Tool Use, Agent Orchestration, Responsible AI
Syllabus
- From generative AI to agents
Introduces the idea of an AI agent and explains why memory, actions, and multi-step reasoning change the interaction beyond a single generated answer.
- Agent components and orchestration
Organizes memory, tool use, reasoning patterns, and orchestration into a coherent view of how an agentic workflow is assembled.
- Workplace applications and responsibility
Considers where agents may support professional workflows and why supervision, boundaries, and responsible use remain necessary.
Prerequisites
- The course record recommends Introduction to AI for Work as the entry point before this course.
Target Audience
Non-developers who need a clear introduction to agentic AI, Professionals evaluating how AI agents might fit workplace processes
Best For
- Choose this course to build agent vocabulary before selecting a coding or platform-specific implementation course.
- It fits learners interested in agent use cases who are not yet ready to build an agent in code.
Pros
- Explains several agent components together instead of reducing agents to autonomous chatbots
- Offers a no-code route into agent concepts and includes responsible workplace use
Cons
- The introductory, no-code orientation does not teach implementation in an agent framework.
- Developers seeking evaluation, deployment, or production reliability practices need a technical follow-up.
Course Facts
- Provider:
- DataCamp
- Duration:
- 1 hr 30 min
- Level:
- Beginner
- Language:
- English
Certification & Delivery
Certificate Available
Format: Online, Self-paced
Tools you can use with this course
Claude
Claude is Anthropic’s conversational assistant for sustained writing, document analysis, structured reasoning, and coding work centered on supplied context.
- The tool category matches this course
Gemini
Google's most capable AI model, built from the ground up to be multimodal and highly efficient.
- The tool category matches this course
Make
Make is a hosted visual automation platform for building multi-step scenarios that connect business applications, route data, and handle conditional processes.
- The tool category matches this course
Pi
Pi is a personal AI designed to be supportive, articulate, and helpful, making every conversation feel like a chat with a knowledgeable friend.
- The tool category matches this course