Core concepts of generative AI involve neural networks, adversarial training (GANs), variational inference (VAEs), and the ability of models to learn and generate data that resembles the training data distribution.
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- 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
Learning Roadmap
1.
Introduction to Generative AI
Introduction to Generative AI
Explore the fundamentals and applications of generative AI for innovative solutions.
2.
Building Blocks of Generative AI
Building Blocks of Generative AI
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
Foundation Models
11 Lessons
11 Lessons
Explore foundation models, pretraining, optimization, and multimodal capabilities in generative AI.
4.
Intelligent Interaction with GenAI
Intelligent Interaction with GenAI
3 Lessons
3 Lessons
Master effective AI communication, dynamic knowledge integration, and autonomous agent capabilities.
5.
Practical Applications and Case Studies
Practical Applications and Case Studies
5 Lessons
5 Lessons
Explore the transformative applications of generative AI across various media formats.
6.
Future of Generative AI and Wrap Up
Future of Generative AI and Wrap Up
2 Lessons
2 Lessons
Explore the transformative potential and ethical considerations of generative AI advancements.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
Generative AI is transforming industries, driving innovation, and unlocking new possibilities across various 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.
ABOUT THE AUTHOR
Khayyam Hashmi
Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
Built for 10x Developers
No Passive Learning
Learn by building with project-based lessons and in-browser code editor
Personalized Roadmaps
The platform adapts to your strengths & skills gaps as you go
Future-proof Your Career
Get hands-on with in-demand skills
AI Code Mentor
Write better code with AI feedback, smart debugging, and "Ask AI"
MAANG+ Interview Prep
AI Mock Interviews simulate every technical loop at top companies
Free Resources
Frequently Asked Questions
What are the core concepts of generative AI?
What is generative AI?
Is generative AI difficult to learn?
What is generative AI in simple words?
What are GenAI basics?
