Duration: 1 Day

Description

Generative AI (Gen AI) refers to a type of artificial intelligence that can learn and product new content, including text, images, music, and audio. In this course we’ll see how Gen AI, is going to impact your world by exploring its fundamental principles, real-world applications, and the challenges it presents.

Audience

This course is designed for professionals, creatives, and curious learners who want to understand how generative AI works and how it applies across industries. No prior experience in AI or programming is required—just a desire to grasp the fundamentals, explore creative and commercial use cases, and engage with the ethical and societal impacts of this transformative technology. Ideal for marketers, designers, educators, content creators, and business leaders seeking to make informed, responsible use of AI tools.

Objectives

  • Understand the fundamentals and key components of generative AI
  • Explore the various real-world applications of generative AI across different industries
  • Discuss the ethical considerations and challenges associated with the use of generative AI
  • Learn the basics of machine learning, effective AI prompting, and ethical practices in AI

Prerequisites

This course has no required prerequisites.

Course Outline

Module 1: AI Landscape Overview

  • The Relationship Between AI, Machine Learning, and Deep Learning
  • Positioning Generative AI within the Broader AI Ecosystem
  • Overview of Different Types of AI Models

Module 2: Core AI Concepts

  • Machine Learning and Neural Networks
  • The Role of Training Data and Randomness in AI Generation
  • Building a Basic Generative Model

Module 3: Understanding Tokenization

  • How Tokens are Used in AI and Natural Language Processing
  • The Relationship Between Tokens and AI Model Usage Costs

Module 4: Balancing Creativity and Training

  • Exploring How Models Learn and Generate Diverse Outputs
  • Exploring with AI

Module 5: Creative Industries

  • AI in Music, Film, and Art Creation
  • Generating Art Using AI Tools

Module 6: Content Generation

  • Use in Blog Writing, Script Creation, and Marketing Content
  • Crafting a Blog Post with AI Assistance

Module 7: Game Development and Design

  • AI’s Role in Game Design and Virtual Worlds
  • Applications in 3D Modeling and Rapid Prototyping

Module 8: Industry-Specific Uses

  • Exploring AI’s Impact on Fashion, Advertising, etc.

Module 9: Navigating Ethical Dilemmas

  • Understanding Deepfakes, Misinformation, and Authenticity
  • Bias, Fairness, and the Societal Impact of AI
  • Deepfake Detection and Ethical AI

Module 10: Privacy and Intellectual Property

  • How AI Intersects with Privacy, Consent, and IP Rights
  • Addressing the Transparency and Accountability of AI Systems

Module 11: Regulatory Landscape

  • Current Regulations, Governance Challenges, and Public Perception of AI
  • Analyzing Bias in AI Models

Module 12: Data and Training Requirements

  • The Necessity of Vast Datasets for Training Generative Models
  • Exploring the Computational Costs and Resource Needs of AI

Module 13: Quality, Realism, and Detection

  • Understanding the Limits of AI-Generated Content
  • Techniques for Identifying AI-Generated vs. Human-Generated Content