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Foundation Course in Generative AI

Learn the fundamentals of Generative AI and modern AI tools through practical examples and hands-on activities. This course covers AI basics, prompt engineering, AI chatbots, content generation, image generation, automation concepts, and real-world applications using popular AI platforms and tools. Ideal for students, educators, professionals, and beginners exploring the world of Artificial Intelligence.

4.6
|5h 16m
Foundation Course in Generative AI course

What's Included

13

Lessons

5h 16m

Duration

Certificate

What You'll Master

Skills and outcomes you'll walk away with

Introduction to Generative AI

MODULE 2 — How Generative AI Works

MODULE 3 — AI Productivity Tools

MODULE 4 — Prompt Engineering Fundamentals

MODULE 5 — Advanced Prompting Techniques

MODULE 6 — AI for Research & Learning

Course Curriculum

13 lessons • 5h 16m total

1

Introduction to Generative AI

27m
2

MODULE 2 — How Generative AI Works

22m
3

MODULE 3 — AI Productivity Tools

22m
4

MODULE 4 — Prompt Engineering Fundamentals

22m
5

MODULE 5 — Advanced Prompting Techniques

21m
6

MODULE 6 — AI for Research & Learning

31m
7

MODULE 7 — AI for Content Creation

26m
8

MODULE 8 — AI for Marketing & Branding

27m
9

MODULE 9 — AI Voice & Audio Tools

21m
10

MODULE 10 — AI Ethics & Responsible AI

23m
11

MODULE 11 — Real-World AI Applications

27m
12

MODULE 12 — Practical AI Projects

26m
13

MODULE 13 — Career & Future Opportunities in AI

21m

Certification Path

Certification Exam

39 multiple-choice questions • 70% passing score required

Final Project: Generative AI Implementation Strategy

For this final assignment, you are required to design a comprehensive proposal for integrating Generative AI into a specific industry vertical (e.g., healthcare, finance, or creative arts). Your proposal must detail the choice of foundation models, the data strategy for fine-tuning or RAG (Retrieval-Augmented Generation), a prototype prompt engineering framework, and a thorough assessment of potential biases and mitigation strategies. The goal is to demonstrate a foundational understanding of how Gen AI can be practically and ethically deployed to solve complex problems.

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