The Complete Generative Ai Guide For Beginners

The Complete Generative Ai Guide For Beginners
Published 5/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

Master AI tools & workflows-learn ChatGPT, image & video generation, ethics, and real-world applications.

What you’ll learn

Understand the basics of generative AI, including neural networks, machine learning, and deep learning fundamentals.

Learn how generative models work, such as GANs, VAEs, and transformers.

Explore practical applications of generative AI, including text generation, image creation, audio synthesis, and video production.

Gain hands-on experience using popular generative AI tools such as ChatGPT, DALL·E, Midjourney, and RunwayML.

Recognize ethical and social implications, including bias, misinformation, privacy, and responsible AI practices.

Requirements

A desire to learn

No previous experience is required

Description

Overview

Section 1: Introduction To Generative AI

Lecture 1 What Is Generative AI?

Lecture 2 History And Evolution of AI

Lecture 3 Key Concepts: Neural Networks, Machine Learning, Deep Learning

Lecture 4 Real-World Examples: Chatbots, Image Generators, Music Composition

Section 2: Understanding Neural Networks and Machine Learning

Lecture 5 Basics of Neural Networks

Lecture 6 Supervised vs. Unsupervised Learning

Lecture 7 Deep Learning and Generative Models

Lecture 8 Overview of GANs , VAEs, and Transformers

Section 3: Generative AI Tools and Platforms

Lecture 9 Popular Tools: OpenAI (ChatGPT, DALL·E), Midjourney, RunwayML

Lecture 10 Hands-on Demo: Generating Text, Images, and Videos

Lecture 11 Setting Up AI Tools (Installation and Configuration)

Section 4: Applications of Generative AI

Lecture 12 Content Creation: Text, Images, and Videos

Lecture 13 Business Use Cases: Marketing, Customer Support, Automation

Lecture 15 Case Studies of Successful AI Implementations

Section 5: Building AI Models from Scratch

Lecture 16 Step-by-Step Guide to Training a Simple AI Model

Lecture 17 Collecting and Preprocessing Data

Lecture 18 Training and Fine-Tuning Models

Lecture 19 Evaluating Model Performance

Section 6: Ethics and Bias in Generative AI

Lecture 20 Ethical Considerations: AI Safety, Misinformation, and Deepfakes

Lecture 21 Understanding Bias and Ensuring Fairness

Lecture 22 Legal and Social Implications of Generative AI

Lecture 23 Responsible AI Development Practices

Section 7: Advanced Techniques and Future Trends

Lecture 24 Fine-Tuning Large Language Models (LLMs)

Lecture 25 Multimodal AI: Combining Text, Images, and Audio

Lecture 26 Reinforcement Learning and Self-Supervised Learning

Lecture 27 Emerging Trends: AI Agents, Personalized AI, and Synthetic Media

Section 8: Final Project: Create Your Own Generative AI Application

Lecture 28 Choose a Domain: Text, Image, Audio, or Video

Lecture 29 Develop and Demonstrate Your AI Application

Lecture 30 Submit a Project Report with Code and Results

Beginners who want to understand generative AI and its applications, even without a technical background.,Content creators, marketers, and designers seeking to harness AI tools to improve their creative workflows.,Entrepreneurs and business professionals who want to leverage generative AI for innovative business solutions.,Students and professionals curious about the capabilities and ethical considerations surrounding AI technology.