Open Data Science Courses

Scaling Inference for Generative AI

Discover essential strategies for scaling generative AI inference including quantization, batching, caching, and system-level practices for production-ready performance.

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

Building, Deploying and Scaling Agents in Production

Discover how enterprises are moving beyond chatbots to implement autonomous agent systems that transform operations, drive efficiency, and achieve real-world impact in production.

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

Capturing Enterprise Intelligence in the Agentic Era

Discover how to scale AI agents safely in enterprise environments by encoding decision traces, workflow context, and organizational intelligence for true agent autonomy.

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

AI Agents vs. Workflows - Reality, Hype and What Actually Works

Explore practical differences between AI agents and workflows, when to use each approach, and how fine-tuning, evaluation, and tool design improve system reliability.

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

Orchestrating AI for Business Outcomes

Discover how to transform AI vision into orchestrated, observable, and governed systems that deliver measurable business results through strategic implementation and management.

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

What's Your Agent's GPA? A Framework for Evaluating AI Agent Reliability

Master AI agent evaluation using the Goal-Plan-Action framework and TruLens library to measure reliability, detect hallucinations, and improve tool usage through hands-on coding.

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

Integrating AI, AR, and Open Access at the Cleveland Museum of Art

Explore how the Cleveland Museum of Art integrates AI, AR, and open access to enhance visitor engagement while maintaining ethical standards and mission focus.

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

Build and Deploy an ADK Agent That Uses an MCP Server on Cloud Run

Discover how to build and deploy ADK agents with MCP servers on Cloud Run, transforming chatbots into powerful action-taking entities through standardized tool integration.

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

Engineering the Last Mile of AI - Integrating LLMs and Computer Vision into the Enterprise

Explore how to integrate large language models and computer vision into enterprise workflows that are reliable, compliant, and fast enough for regulated industries.

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

Context Engineering for AI Code Reviews with MCP, LLMs and Open-Source DevOps Tooling

Explore CodeRabbit's context-engineering architecture using MCP, LLMs, and open-source tools to deliver AI code reviews that detect race conditions, architectural issues, and bugs.

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

Coding with AI - Making the Most of AI-Powered Development

Discover systematic approaches to AI-assisted coding and learn productive engineering patterns to maximize efficiency beyond intuitive "vibe coding" methods.

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

Building Deep Agents - Architecture and Practical Implementation Tips

Discover how to build sophisticated AI agents capable of handling complex, long-term tasks with practical architecture insights and implementation tips from Harrison Chase.

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

Bridging Innovation and Practicality with Dell AI Factory and NVIDIA

Discover how Dell AI Factory with NVIDIA empowers enterprises to overcome AI challenges like skill gaps and security, moving from experimentation to production-ready deployments.

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

Creativity Meets AI - Building Human-Centered Tech

Discover how creativity, humanity, and psychological safety drive impactful AI product development through a people-first approach to technology building.

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

Ethical Nightmares, Agentic AI, and Building Real Responsible AI Programs

Explore practical AI ethics frameworks with Reid Blackman, moving beyond traditional principles to "ethical nightmares" approach for managing real-world AI risks and failures.

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