PickAClass · AI, Tech & Engineering · Generative AI & Deep Learning

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.

Multimodal Generative AI

Securing Generative AI: Foundations of LLM and Prompt Security

AI in Journalism: Modern Tools and Workflows for Writers

Data Pipelines for Multimodal AI: Vision, Audio, and NLP

Data Cleaning with Generative AI: Automate Your Data Prep Workflow

Visualizing and Communicating AI Data Insights

Introduction to Cross-Modal Retrieval: Unifying Text and Image Search

Unifying Multimodal Data with Automated ETL Pipelines

Validating Multimodal Data for Reliable AI

Modernizing Websites with Generative AI and Cloud Tools

Modernizing Website Search with Generative AI and Vertex AI

Website Modernization with Generative AI and Vertex AI

Modernizing Websites with Generative AI and Cloud Search

Modernizing Website Search with Generative AI on the Cloud

Applied NLP and Generative AI Applications in Python

Programming Generative AI: Build and Integrate AI Applications

Engineering Multimodal AI Systems: Integrating Vision, Audio, and Text

Introduction to Multimodal AI: Building Vision and Audio Systems

Multimodal AI Foundations: Apply AI to Any Data Type

Foundations of AI Evaluation: Assessing Narrow AI and Language Models

Data Gathering and AI Modeling for Beginners

Monitoring Generative AI: Control Costs and Ensure Quality

Explainable AI: Transparency for Deep Learning Models

Multimodal AI with CLIP: Building Shared Text and Image Embeddings

Stability AI API Integration: Generative Models with Go