PickAClass · AI, Tech & Engineering

Generative AI & Deep Learning

Explore the frontiers of AI with deep learning architectures and generative models. Learn to build and fine-tune LLMs, diffusion models for images, and intelligent agents.

9 subcategories · 417 courses total

LLM Application Development

Learn to build applications powered by Large Language Models using frameworks like LangChain and LlamaIndex. Develop chatbots, question-answering systems, and agents with Retrieval-Augmented Generation (RAG).

107 courses

Generative AI for Audio & Music

Discover how to apply generative models to create novel audio, speech, and music. Learn about models for text-to-speech, voice cloning, and algorithmic music composition.

41 courses

Prompt Engineering for LLMs

Master the art and science of crafting effective prompts to guide Large Language Models (LLMs) for various tasks, from content generation to complex reasoning. Learn techniques like zero-shot, few-shot, and chain-of-thought prompting.

40 courses

Fine-Tuning Language Models

Go beyond prompting by learning to fine-tune pre-trained language models on custom datasets. Adapt models like GPT, Llama, and BERT for specific domains and tasks to improve performance and accuracy.

40 courses

Generative Adversarial Networks (GANs)

Explore the theory and practice of Generative Adversarial Networks. Learn to build and train GANs for tasks like image generation, style transfer, and data augmentation.

40 courses

MLOps for Generative AI

Focus on the operational challenges of deploying, monitoring, and maintaining large-scale generative models. Learn about model versioning, performance tracking, cost management, and building robust production pipelines.

39 courses

Diffusion Models for Image Generation

Dive into the architecture and application of diffusion models for creating high-quality images from text prompts. Explore models like Stable Diffusion and DALL-E, and learn techniques for image synthesis and editing.

38 courses

Transformer Architecture

Understand the fundamental deep learning architecture that powers modern AI. Learn about self-attention mechanisms, positional encodings, and the encoder-decoder structure that make models like GPT and BERT possible.

36 courses

Multimodal Generative AI

Learn to build models that understand and generate content across multiple modalities, such as text, images, audio, and video. Explore architectures that connect different data types for richer AI applications.

36 courses