MLOps.community Courses

Making Sense of LLMOps - Impact, Risk, and Maturity Assessment

Explore LLMOps essentials: impact assessment, risk management, and maturity evaluation. Gain insights on bridging gaps between data science, infrastructure, and IT teams for effective LLM deployment.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Beyond AGI - Can AI Help Save the Planet?

Explore how AI can address environmental challenges through remote sensing and high-performance computing. Learn about MLOps best practices, tight feedback loops, and the importance of sustainability in AI development.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Innovative Gen AI Applications: Beyond Text - MLOps Mini Summit 5

Explore innovative Gen AI applications beyond text, focusing on molecule discovery and call center optimization. Learn about chemical language models, RAG use cases, and efficient pipeline architectures.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Enabling Efficient Trillion Parameter Scale Training for Deep Learning Models

Explore DeepSpeed's optimizations for efficient distributed training of large-scale deep learning models, addressing memory, compute, and data challenges in extreme model scaling.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

GenAI in Production - Challenges and Trends - Lecture 224

Explore challenges and trends in Generative AI production, including model size, context windows, multimodality, and regulation. Gain insights from Gemini 1.0 vs 1.5 comparisons and industry expert Verena Weber's experiences.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

From Robotics to AI NPCs - Embodied AI Agents in Games

Explore the fusion of robotics and AI in creating dynamic NPCs for games. Learn how multi-modal LLMs enable interactive virtual characters through simulation-based training techniques.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

Seeing Like a Language Model - Understanding Embeddings and Meaning in AI

Explore how language models process text and represent meaning through embeddings. Gain insights into building better retrieval-augmented LLM systems and designing natural interfaces for reading and writing.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Productionizing Health Insurance Appeal Generation - AI in Production

Explore fine-tuning models for health insurance appeals, cloud resource utilization, and on-premises Kubernetes deployment. Learn about unexpected challenges in server setup and graphics card installation.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Graduating from Proprietary to Open Source Models in Production

Explore the transition to open source ML models for production, focusing on security, performance, and scalability. Learn how AI companies leverage these models for core workloads.

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Building a Python-Centric Feature Platform to Power Production AI Applications

Explore Tecton's journey in developing a Python-based platform for powering large-scale real-time AI applications. Learn about reliable solutions for productionizing AI using only Python skills.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

The State of Production Machine Learning in 2024

Explore the challenges and best practices for deploying robust, scalable ML systems in production. Learn about key focus areas, recommended tools, and ecosystem insights for effective MLOps at scale.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

From Research to Production: Fine-Tuning and Aligning LLMs

Learn essential steps for transitioning LLMs to production, focusing on fine-tuning and alignment strategies. Explore Supervised Fine-Tuning, RLHF, and DPO for effective LLM alignment with production goals.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

Charting LLMOps Odyssey - Navigating Large Language Model Operations

Navigate the iterative development of LLM applications, addressing unique challenges in LLMOps design. Learn strategies for overcoming obstacles and adapting to the evolving landscape of large language model operations.

• YouTube
• 39 minutes
• Self-Paced
• Free Video

What Business Stakeholders Want to See from ML Teams

Explore ML team expectations from business stakeholders, AI in software development, and successful entrepreneurship strategies with insights from tech industry expert Peter Guagenti.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Designing ML Infrastructure for ML and LLM Use Cases

Explore best practices for building scalable ML infrastructure tailored to ML and LLM use cases. Gain insights on reusable architectures, maturity metrics, and navigating challenges in MLOps implementation.

• YouTube
• 1 hour
• Self-Paced
• Free Video