inaraX

AI Essentials

For beginners — no technical background required

A practical introduction to AI in four modules: how AI and LLMs work, prompting and checking AI's answers, using AI for research, writing, visuals and data, and building your own workflows and assistants.

Created by InaraX
Instruction languages: English, Arabic
Premium

No technical background needed · Prompting and checking AI's answers · A hands-on project in every module

Highlights for this program

4
modules
25
lessons
InaraX

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What you'll learn

  • ✓What AI is, and how it led to generative AI
  • ✓How AI learns and how LLMs generate responses
  • ✓The difference between chatbots, assistants and agents
  • ✓Prompting fundamentals and advanced prompting
  • ✓Evaluating AI outputs and using AI responsibly
  • ✓AI for research, writing, visuals and data
  • ✓A problem-solving framework for applying AI at work
  • ✓Building workflows, agents and automations, with a project in every module

Course content

3 levels • 4 modules

  • Module 1: AI FoundationsLocked
  • Module 2: Generative AI, Prompting and TrustLocked

Requirements

  • No prior AI or technical experience needed.
  • Helpful (not required): basic comfort using a computer and everyday work tools.

Description

AI Essentials is a level-based program (Associate → Intermediate → Advanced) for anyone who wants a working understanding of AI, regardless of role or background. You'll start with the basics: what AI actually is, how large language models work, how to prompt them well, and how to check what they give you and use them responsibly. Then you'll apply AI to real work, from research and writing to visuals, data and your career, and finish by building simple workflows, agents and automations of your own.

By the end of this course, you will:

  • Explain what AI, generative AI and large language models are, and how an LLM produces a response.
  • Tell chatbots, assistants and agents apart, and know what each one is good for.
  • Write clear prompts and refine them through iteration.
  • Check AI output before you rely on it, and use AI responsibly.
  • Use AI for research, writing, visual content, data analysis, and your own learning and career.
  • Turn prompts into workflows, and build your own AI assistant with agents and automation tools.

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