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Coursera

Building Basic AI Agents

via Coursera

Overview

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This course gives you the foundational skills to understand and build your own basic AI agents from scratch. You will learn what Large Language Models are, how prompt engineering controls AI responses, and how to transition from simple prompting to creating autonomous agents. We'll cover the mechanics of popular models like GPT-4 and Claude, guiding you through practical, real-world applications—such as building agents for customer support, appointment booking, and automated research using tools like Manus AI, n8n, and Make.com. Using these approaches, no matter your current technical background, you can automate everyday workflows and change how you work. If you're a complete beginner, this step-by-step introduction will give you the confidence to navigate the AI landscape and avoid common prompt engineering mistakes. If you're already familiar with basic AI chatbots, you'll see a structured treasure trove of practical techniques that walk you through connecting external tools via APIs to create powerful assistants. If you've ever wanted to harness the power of AI to streamline your digital life, this course will serve as your comprehensive guide.

Syllabus

  • Introduction to AI Agents and Large Language Models (LLMs)
    • Discover the foundational mechanics of Large Language Models and learn how the shift from basic prompting to autonomous AI agents is driving revolutionary value in modern business.
  • Prompt Engineering for AI Tools
    • Master the art of prompt engineering by uncovering common pitfalls and applying proven best practices to extract high-quality, precise responses from top AI models like GPT-4, Claude, and Gemini.
  • How to Build AI Agents for Real Tasks
    • Step into the creator's seat and learn to build custom AI agents that execute real-world tasks, from optimizing video prompts to automating customer support and appointment booking.
  • Browser AI Agents
    • Unlock the power of browser-based AI agents and workflow automation tools like Manus AI, n8n, and Make.com to seamlessly integrate intelligent assistants into your daily operations.
  • How to Work with Manus
    • Dive deep into Manus AI to automate complex workflows, perform extensive deep research, manage data with spreadsheets, and even build simple web apps without writing a line of code.
  • Final Thoughts
    • Review essential concepts and explore how AI agents are already embedded in everyday tools, fundamentally transforming jobs, workflows, and the future landscape of work.

Taught by

Anton Voroniuk

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