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A hands-on learning journey through Generative AI. Covers foundational concepts, deep learning, and practical skills in text and image generation using large language models and computer vision. Includes projects like chatbots and AI agents, with a focus on applying models to real-world tasks.

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Generative AI Nanodegree

Introduction and Overview (Summary)

Generative AI skills—including text/image generation, NLP, computer vision, and deep learning are essential in today’s AI-driven world. These capabilities empower professionals to create innovative solutions in areas like healthcare, finance, and personalized services.

This training program combines foundational concepts and advanced techniques in Generative AI, covering LLMs, deep learning, and ethical AI practices. Learners will gain hands-on experience by building projects such as chatbots, AI image editors, and virtual agents, preparing them for real-world applications and responsible AI development.

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Generative AI Fundamentals

Introduction to Generative AI

Learn the basic concepts behind generative AI, including the main types of models used for generating text and images. Covers common architectures like GANs, VAEs, and Transformers, and how they are applied in practice.

Deep Learning Fundamentals

Covers the essential building blocks of deep learning, such as neural networks, activation functions, loss functions, and backpropagation. Includes practical exercises using PyTorch and Hugging Face to prepare for working with generative models.

Foundation Models

Understand what foundation models are, how they’re trained on large datasets, and how they can be applied to a wide range of tasks. Discussion also includes their limitations and ethical concerns related to bias, misuse, and resource consumption.

Adapting Foundation Models

Learn techniques to customize pre-trained models for specific tasks. Topics include prompt engineering, prompt tuning, and parameter-efficient fine-tuning methods like LoRA and adapters, with practical examples of adapting models using minimal compute.

Project: Apply Lightweight Fine-Tuning to a Foundation Model


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A hands-on learning journey through Generative AI. Covers foundational concepts, deep learning, and practical skills in text and image generation using large language models and computer vision. Includes projects like chatbots and AI agents, with a focus on applying models to real-world tasks.

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