Multimodal Models Courses and Certifications

Large Multimodal Model Prompting with Gemini

27 ratings at Coursera

Master advanced prompt engineering techniques for Gemini's multimodal AI capabilities across text, images, and videos to build intelligent applications with real-time data integration.

• Coursera
• 1 hour 30 minutes
• On-Demand
• Paid Course

Programming Generative AI: Unit 1

Discover generative AI fundamentals and master PyTorch programming through hands-on tensor manipulation, neural network building, and deep learning model implementation.

• Coursera
• 5 hours 32 minutes
• On-Demand
• Paid Course

Packt

Harnessing Ollama – Create Local LLMs with Python

Master Ollama and Python to build local LLM applications with practical projects like RAG systems, sentiment analysis tools, and voice-enabled interfaces for real-world use cases.

• Coursera
• 6 hours 38 minutes
• On-Demand
• Paid Course

Quick Start Guide to Large Language Models (LLMs): Unit 3

Master advanced LLM architectures, multimodal integration, reinforcement learning alignment, fine-tuning optimization, and cloud deployment strategies for high-performing models.

• Coursera
• 8 hours 7 minutes
• On-Demand
• Paid Course

Programming Generative AI: Unit 3

Master multimodal AI by exploring contrastive language-image pre-training, latent diffusion models, and text-to-image generation with hands-on fine-tuning techniques.

• Coursera
• 8 hours 17 minutes
• On-Demand
• Paid Course

Packt

Generative AI with Python

Unlock the power of generative AI through hands-on Python development, mastering LLMs, RAG systems, vector databases, and advanced agentic frameworks for real-world applications.

• Coursera
• 15 hours 13 minutes
• On-Demand
• Paid Course

Google Cloud Tech

Generative AI Text and Multimodal Embedding Models for Real-World Use Cases

Explore Vertex AI's text and multimodal embedding capabilities for innovative business solutions. Learn evaluation frameworks and applications in textual similarity tasks.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Broad Institute

Multimodal Protein Language Models for Deciphering Protein Function

Explore multimodal protein language models integrating sequences, structures, and textual descriptions to bridge structural and functional understanding of proteins for biomedical research.

• YouTube
• 1 hour 31 minutes
• On-Demand
• Free Video

AI Engineer

State Space Models for Realtime Multimodal Intelligence

Discover state space models enabling cheaper, faster, higher-quality realtime multimodal AI on any device through breakthrough research from Cartesia's founder.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Neural Breakdown with AVB

Understanding How Large Language Models Generate Images - From Autoencoders to Multimodal LLMs

Delve into the mechanics of image generation by multimodal LLMs, exploring autoencoders, latent spaces, VQ-VAEs, and codebook embeddings in modern AI models like Gemini and DALL-E.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Discover AI

Visual Mathematical AI Reasoning - WE-MATH: Evaluating Human-like Mathematical Reasoning in Large Multimodal Models

Explore WE-MATH, a groundbreaking benchmark system evaluating how AI models perform visual mathematical reasoning through knowledge concept decomposition and four-dimensional metrics.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Discover AI

The Future of AI: From Language Models to Multimodal Agents and Video Processing

Explore the cutting-edge developments in AI technology, from multimodal agents to GPT-4's video capabilities, and discover how AI systems are evolving to handle diverse data types and tasks.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Shaw Talebi

Multimodal AI: Understanding Large Language Models with Vision and Audio Capabilities

Explore three key approaches to expanding Language Models beyond text, enabling them to process visual and auditory information, with practical demonstrations using LLaMA 3.2.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Y Combinator

The Limits of Today's AI Models - Transformers, State Space Models, and the Future of Multimodal Intelligence

Explore why current AI architectures face fundamental limits and how state space models enable true compression, abstraction, and multimodal intelligence beyond transformers.

• YouTube
• 18 minutes
• On-Demand
• Free Video

MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models

Explore MM-SafetyBench, a comprehensive benchmark for evaluating safety aspects of multimodal large language models in just 30 minutes from University of Central Florida researchers.

• YouTube
• 30 minutes
• On-Demand
• Free Video