An Introduction To Generative Ai For Beginners

An Introduction To Generative Ai For Beginners
Published 12/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Introduction and Fundamentals of Generative AI, Large Language Models (LLMs), ChatGPT, DALL-E, and GANs for Beginners

What you’ll learn

Tech Leaders: Learn to harness AI tools for innovation and team efficiency.

Business Innovators: Leverage AI for automation, marketing, and product creation.

Aspiring Managers: Understand AI’s role in workflows and strategic decisions.

AI Enthusiasts: Dive deep into generative AI applications and future trends.

Entrepreneurs: Utilize AI to enhance productivity and create cutting-edge solutions.

Students: Gain practical insights into AI’s impact on careers and industries.

Tech Enthusiasts: Explore advanced AI models like GPT, DALL-E, and GANs.

Content Creators: Use AI tools to streamline creative processes effortlessly.

Managers: Drive AI adoption in organizational strategies and decision-making.

Requirements

Open Mindset: A willingness to explore new technologies and workflows.

No Programming Skills Required: This course is accessible to non-technical learners.

Professional Relevance: Ideal for learners aiming to integrate AI into their fields.

Basic Knowledge of Business Concepts: Helpful but not mandatory for business-related sections.

Access to a Computer: Required for trying out tools and platforms demonstrated in the course.

Description

Overview

Section 1: Introduction

Lecture 1 Introduction to the Instructor

Lecture 2 Understanding the Significance of Generative AI

Lecture 4 How Does Generative AI Works

Lecture 5 Creating Content Using Generative AI

Section 2: Generative AI Models

Lecture 6 Popular Tools for Generative AI

Lecture 7 Natural Language Models

Lecture 8 Text to Image Generation Models

Lecture 9 Generative Adversarial Networks (GANs)

Section 3: Future Of Generative AI

Lecture 11 Future Innovations in Generative AI

Lecture 12 The Future of Work: Opportunities and Challenges

Section 4: Ethics and Responsibility

Lecture 13 Leadership and Morality in the Age of Generative AI

Lecture 14 Leadership Best Practices for Safe GenAI Use

Section 5: How Leaders Can Effectively Work with Generative AI

Lecture 15 The Evolution and Future of Large Language Models

Lecture 16 The Evolution of Generative AI Tools

Lecture 17 Wider Adoption of Generative AI

Lecture 18 The Legal Side of Generative AI

Lecture 19 Bonus Lecture