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 transforms industries, drives innovation, and unlocks new possibilities across sectors. This course provides a dee...Show More
WHAT YOU'LL LEARN
An understanding of core concepts, foundational techniques, and innovative applications of generative AI
Proficiency in preprocessing text data and understanding the evolution of natural language processing (NLP)
The ability to use sequence models and attention mechanisms to build and understand context within language data
An understanding of the importance of foundation models and knowledge of different pretraining and fine-tuning paradigms
Practical knowledge of vision and audio generation to create comprehensive multimodal models
An understanding of the ethical considerations, regulations, and future trends in the development and systems of generative AI
An understanding of core concepts, foundational techniques, and innovative applications of generative AI
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TAKEAWAY SKILLS
Content
1.
Introduction to Generative AI
2 Lessons
Explore the fundamentals and applications of generative AI for innovative solutions.
2.
Building Blocks of Generative AI
10 Lessons
Explore the evolution and techniques of generative AI and modern NLP.
Text Preprocessing EssentialsThe Emergence of NLPVectorizing LanguageBuilding Context with NeuronsReconstructing Context with Sequence ModelsLearning Phrase Representations Using Encoder-DecoderEmergence of Generative AIAttention Is All You NeedBidirectional Transformers for Language UnderstandingImproving Language Understanding by Generative Pretraining
3.
Foundation Models
11 Lessons
Explore foundation models, pretraining, optimization, and multimodal capabilities in generative AI.
4.
Intelligent Interaction with GenAI
3 Lessons
Master effective AI communication, dynamic knowledge integration, and autonomous agent capabilities.
5.
Practical Applications and Case Studies
5 Lessons
Explore the transformative applications of generative AI across various media formats.
6.
Future of Generative AI and Wrap Up
2 Lessons
Explore the transformative potential and ethical considerations of generative AI advancements.
Certificate of Completion
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