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

AI Model Evaluation Fundamentals

Faker: Generating Synthetic Data for AI

AWS Generative AI Safety: Grounding and Governance

AWS Vision & Speech AI: Build with Rekognition, Transcribe, Polly

Building Modern AI Chatbots: Generative and Multimodal Techniques

Deploying Scalable Text-to-Text AI Systems

Integrating Images and Files with the OpenAI API

Building a Talking Pictionary with Vertex AI Text-to-Speech

Multimodal Generative AI: Integrating Text, Images, and Data

Imitation Learning with GAIL: Training Generative AI Agents

Building Responsible Generative AI Architectures on AWS

Designing an AI Image Research Assistant with MCP Architecture

AWS Glue for Data Quality in Generative AI Pipelines

Optimizing Generative AI Systems for Operational Efficiency on AWS

Data Annotation: Bridging Human Insight and AI

Data Prep for Generative AI with SageMaker Data Wrangler and Ground Truth

Designing Multimodal AI Architectures for Content Moderation

Foundations of Artificial Intelligence and Machine Learning

Generative AI, Data, and Technology Fundamentals

Entertainment Visual Design with Cinema 4D, Octane, and AI

Tableau AI and Generative Analytics Fundamentals

Tableau AI and GPT for Data Analytics

Introduction to Einstein Generative AI in Salesforce

Debugging AI Agents: Data Analysis for Better Reliability