Understanding Generative Ai: Fundamentals And Possibilities

Learn essential concepts, architectures, and the exciting potential and applications of Generative AI

What you'll learn

Understand the fundamental concepts of Generative AI and how it compares to other approaches

Learn what are the most important Generative AI architectures and how they work

Identify applications of Generative AI across diverse fields

Learn to craft prompt engineering patterns to program LLMs to perform sophisticated behaviours

Explore the future of Generative AI and find inspiration for your own projects

Demystify the learning processes of the neural networks that power Generative AI applications

Understand key ethical considerations about Generative AI

Build a solid knowledge base to confidently pursue more advanced Generative AI concepts and techniques

Requirements

No experience needed. You will learn everything you need to know in this introductory course

Description

Unlock the Transformative Power of Generative AI: Where Creativity and Technology CollideAre you fascinated by the idea of machines generating stunning images, realistic text, or even composing music? Generative AI is revolutionizing the way we create, and this course is your key to begin mastering this groundbreaking field.What You'll Discover:The Building Blocks of Generative AI: Delve into the fundamental concepts, architectures, and techniques that make machines generate breathtaking content.Limitless Applications: Explore the real-world impact of Generative AI across industries – from art and design to marketing and even scientific research.Learn to craft prompt engineering patterns to program LLMs to perform sophisticated behavioursThe Future is Now: Gain insights into the transformative potential of Generative AI and how it's poised to change the world.Demystifying the Learning Process: We'll break down the inner workings of the neural networks that power generative AI technology in an engaging way, combining colourful physical elements with advanced digital representations to visualize how these networks learn.Why This Course is DifferentThis isn't just another theoretical overview. We provide a compact introduction to Generative AI while simultaneously going very deep into the very base of this technology, the processes by which they learn their powerful mappings.Join us and explore the age of Generative AI

Overview

Section 1: Foundations of Generative AI

Lecture 1 Welcome

Lecture 2 Generative modelling, Evolution of Generative AI and Overview of applications

Lecture 3 Building Blocks of Machine Creativity: Machine Learning Foundations for Gen AI

Section 2: Generative AI Models and Applications

Lecture 4 Architectures of Machine Imagination, from GANs to Diffusion and beyond

Lecture 5 Machine Creativity Meets Real-World Impact - Applications of Generative AI

Lecture 6 The Ethics of Machine Creativity: Challenges and Considerations in Generative AI

Lecture 7 Worlds Reimagined: Visions of the Future with Generative AI

Lecture 8 Prompt Programming: Programming Generative AI models with natural language

Section 3: Journey to the latent space of a Neural Network

Lecture 9 In Search of the Magical Mappings of Creativity

Lecture 10 The Search for the Perfect Mapping: datasets and dimensionality

Lecture 11 From Linearity to Complexity: Neural Networks and the Nonlinearities of Life

Lecture 12 Bending the Rules: Non-Linear transformations and the key to complexity

Lecture 13 Not Too Tight, Not Too Loose - Finding the perfect fit

Lecture 14 How increasing the dimensionality impacts the latent complexity of the network

Lecture 15 The Power of Depth: Creating Sophisticated Mappings with AI networks

Lecture 16 From high dimensional manifolds to dynamic and ever changing latent spaces

Lecture 17 Advanced digital representations of the latent complexity of neural networks

Lecture 18 Visualizing the Journey: Loss Landscapes and the Search for Optimal Weights

Lecture 19 Example of the dynamic Loss Landscape of a generative adversarial network

Lecture 20 Lucy - Real Time Visualization of the changing weights of a neural network

Lecture 21 Charting the hidden depths: a recap of our transformative latent space journey

Section 4: Final Review Quiz and Closing thoughts

Lecture 22 Summary and closing thoughts

Curious minds fascinated by the future of creativity,Industry professionals seeking an edge,Anyone intrigued by the intersection of creativity and machines,Creators of all kinds,Tech enthusiasts and lifelong learners,Those that want to explore possible applications of Generative AI technology,Those that want to learn in great depth how the neural networks that power Generative AI applications learn their objectives