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3 Week - Generative AI Foundations Certification
132 students

3 Week - Generative AI Foundations Certification

Master GenAI basics, tools, prompting, and mini projects in 3 beginner-friendly weeks
Created bySchool of AI
Last updated 6/2026
English

What you'll learn

  • Understand the core differences between AI, Machine Learning, and Generative AI in simple terms.
  • Explain how Large Language Models work, including tokens, training data, probabilities, and text generation.
  • Identify the key capabilities and limitations of GenAI, including hallucinations, bias, misinformation, and responsible use.
  • Explore major GenAI modalities such as text, images, audio, video, and multimodal AI.
  • Use popular GenAI tools like ChatGPT, Claude, and image generation tools for everyday tasks.
  • Write effective beginner-friendly prompts for writing, summarization, brainstorming, research, and productivity.
  • Apply AI to real-world use cases across business, marketing, healthcare, coding, education, and knowledge work.
  • Build simple AI-powered workflows using input, processing, and output thinking.
  • Create practical mini projects, including a content generator and research assistant workflow.
  • Evaluate AI-generated outputs using quality checks, human review, and practical improvement techniques.

Course content

3 sections19 lectures6h 46m total length
  • Certificate of Completion0:27
  • Day 1 — What is AI, ML, and Generative AI?26:10
  • Day 2 — How Large Language Models Work26:11
  • Day 3 — Capabilities vs Limitations of GenAI26:51
  • Day 4 — Core Generative AI Modalities27:02
  • Day 5 — Real-World Use Cases Across Industries27:52
  • Week 1 Lab — AI Exploration Lab9:02

Requirements

  • No prior experience with Artificial Intelligence or Generative AI is required.
  • No coding, programming, or technical background is needed to take this course.
  • Basic computer skills such as using a browser, typing, copying text, and working with online tools are helpful.
  • A laptop or desktop computer with internet access is recommended.
  • Access to beginner-friendly GenAI tools such as ChatGPT, Claude, or similar AI assistants is helpful for practice.
  • A willingness to experiment with prompts, test AI tools, and learn through hands-on activities is recommended.
  • Curiosity about how AI can be used for productivity, research, content creation, and real-world work will help you get the most from the course.
  • This course is designed for absolute beginners, so every concept is explained step by step in simple language.

Description

This course contains the use of artificial intelligence.

Generative AI is transforming the way people work, create, research, communicate, and solve problems. This 3-Week Generative AI Foundations Certification is designed to help beginners understand the core concepts of AI and confidently apply modern AI tools in real-world situations.

This course starts with the fundamentals. In Week 1, you will learn what Artificial Intelligence, Machine Learning, and Generative AI really mean, without confusing technical jargon. You will explore how Large Language Models work, including concepts like tokens, training data, probabilities, and why AI systems are able to generate human-like text. You will also understand the difference between what AI can do well and where it can fail, including important topics such as hallucinations, bias, accuracy issues, and responsible usage.

The course then introduces the major Generative AI modalities shaping today’s technology landscape, including text generation, image generation, audio generation, video generation, and multimodal AI. You will see how these capabilities are being used across industries such as business, healthcare, marketing, education, software development, and productivity workflows.

In Week 2, you will move from concepts to practical tools. You will explore the modern GenAI tools landscape, including tools such as ChatGPT, Claude, Midjourney, and other AI-powered platforms. You will learn how to choose the right tool for the right task and how to use simple but effective prompt engineering techniques for writing, summarization, brainstorming, research, and everyday productivity.

You will also learn how AI can support content creation, including blogs, emails, social media posts, outlines, scripts, and business communication. The course explains how to balance speed and quality, how to avoid misinformation, and how to use AI responsibly for research and knowledge work. Through the AI Productivity Stack Lab, you will build your own personal toolkit for using AI more effectively in daily work.

In Week 3, you will apply everything through simple, practical projects. You will learn how to design basic AI workflows using input, processing, and output thinking. You will build a content generator project, create a research assistant workflow, and learn how to evaluate AI outputs using quality checks and human-in-the-loop review.

By the end of this certification, you will have a clear understanding of Generative AI foundations, practical experience with AI tools, and the confidence to create useful AI-powered workflows. Whether you are a beginner, professional, creator, student, entrepreneur, or team leader, this course will help you build the mindset and skills needed to participate in the AI-powered future.

Who this course is for:

  • Beginners who want to understand Generative AI without needing a technical or coding background.
  • Professionals who want to use AI tools to improve productivity, writing, research, communication, and everyday work.
  • Students and lifelong learners who want a simple introduction to AI, Machine Learning, LLMs, and modern GenAI tools.
  • Entrepreneurs, creators, and freelancers who want to use AI for content creation, brainstorming, marketing, and business workflows.
  • Managers and team leaders who want to understand how Generative AI can create value across industries and functions.
  • Non-technical learners who feel overwhelmed by AI and want a clear, step-by-step foundation.
  • Anyone curious about tools like ChatGPT, Claude, image generators, and multimodal AI platforms.
  • Learners who want hands-on practice building simple AI workflows, including a content generator and research assistant.
  • Professionals preparing for the future of work who want to become more confident using AI responsibly and effectively.
  • Anyone who wants a beginner-friendly certification course that explains AI concepts in plain language with practical examples.