Discover AI fundamentals, history, models, and ethics in our generative AI course—gain the AI skills to innovate and lead in an AI-driven future.

Generative AI transforms industries, drives innovation, and unlocks new possibilities across sectors. This course provides a deep understanding of generative AI models and their applications.

You’ll start by exploring the fundamentals of generative AI and how these technologies offer groundbreaking solutions to contemporary challenges. You’ll delve into the building blocks, including the history of generative AI, language vectorization, and creating context with neuron-based models. As you progress, you’ll gain insights into foundation models and learn how pretraining, fine-tuning, and optimization lead to effective deployment. You’ll discover how large language models (LLMs) scale language capabilities and how vision and audio generation contribute to robust multimodal models.

After completing this course, you can communicate effectively with AI agents by bridging static knowledge with dynamic context and discover prompts as tools to guide AI responses.

Generative AI Essentials

Explore fine-tuning, why it’s essential, and the various techniques used.

Introduction to Generative AI

Building Blocks of Generative AI

Foundation Models

Generating New Music with Artificial Intelligence

Intelligent Interaction with GenAI

Practical Applications and Case Studies

Future of Generative AI and Wrap Up

Exploring Public Sentiment on Twitter with NLP

Post-Training, Fine-Tuning, and Adaptation