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6h 43min

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Generative AI Essentials

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.

AI-POWERED

Explanations

Adaptive Learning

AI-POWERED

Explanations

Adaptive Learning

This course includes

32 Lessons

12 Playgrounds

9 Quizzes

Course Overview

What You'll Learn

Course Content

Course Overview

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...Show More

Generative AI transforms industries, drives innovation, and unlocks new possibilities across sectors. This course provides a dee...Show More

TAKEAWAY SKILLS

Generative AI

Natural Language Processing

Large Language Models (LLMs)

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

Course Content

Introduction to Generative AI

2 Lessons

Explore the fundamentals and applications of generative AI for innovative solutions.

Why Learn Generative AI?

What Is Generative AI?

Building Blocks of Generative AI

11 Lessons

Explore the evolution and techniques of generative AI and modern NLP.

Text Preprocessing Essentials

The Emergence of NLP

Vectorizing Language

Building Context with Neurons

Reconstructing Context with Sequence Models

Learning Phrase Representations Using Encoder-Decoder

Emergence of Generative AI

Attention Is All You Need

Bidirectional Transformers for Language Understanding

Improving Language Understanding by Generative Pretraining

Evaluating Large Language Models

Foundation Models

9 Lessons

Explore foundation models, pretraining, optimization, and multimodal capabilities in generative AI.

What Are Foundation Models?

Pretraining Paradigms: How Do Models Learn?

Post-Training, Fine-Tuning, and Adaptation

Model Optimization for Deployment

Large Language Models: Language at Scale

Understanding Vision Models: How AI Learns to See

AI Image Generation: Diving into Diffusion Models

Audio Generation

Multimodal Models in Generative AI

Intelligent Interaction with GenAI

3 Lessons

Master effective AI communication, dynamic knowledge integration, and autonomous agent capabilities.

Communicating with AI

Bridging Static Knowledge and Dynamic Context in AI

Autonomous AI Agents

Practical Applications and Case Studies

5 Lessons

Explore the transformative applications of generative AI across various media formats.

Applying Fundamental Concepts to Real-World Systems

Text-to-Text Generation Systems

Text-to-Image Generation Systems

Text-to-Speech Generation Systems

Text-to-Video Generation Systems

Future of Generative AI and Wrap Up

2 Lessons

Explore the transformative potential and ethical considerations of generative AI advancements.

Shaping the Future: Ethical, Regulatory, and Trend Considerations

The Way Forward

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