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COMPUTER VISION TECHNOLOGY AND APPLICATIONS
Explore computer vision applications across clothing, food, housing, and transportation, mastering KNN, YOLO, OCR, and facial recognition through real-world engineering projects aligned with industry standards.
The Secrets of Modern Agriculture in China's Beidabuang
Explore China's Beidahuang agricultural model, uncovering how smart farming tech, black soil conservation, and full mechanization achieve 14% of China's grain output on just 2.7% of arable land.
AI-Driven Insights, Validation and Scenario Modeling
Master AI-driven financial analysis using Power BI, Excel, and Microsoft Copilot to validate insights, detect anomalies, build scenario models, and communicate strategic recommendations to executive stakeholders.
Google: Add Agent Capabilities With Tools
Learn AI agent fundamentals — how they differ from LLMs, when to use them, and explore agent architecture, orchestration, and tools.
Claude Code in Action
Equip AI agents with tools for web search, code execution, database queries, and custom actions. Transform agents into capable assistants.
Building AI Agents with Snowflake
Get hands-on with Claude Code, Anthropic's terminal AI agent: master context, plan mode, custom commands, MCP, and hooks to ship real work you can trust.
Google: Deploy Your First Agent
Learn human-centric AI orchestration. Distinguish between augmentation and automation, and balance machine efficiency with human intuition.
Google: Build Agents with Agent Development Kit (ADK)
Build, configure, and run your first AI agent using Google's Agent Development Kit (ADK). Set up environments, create agents in Python and YAML.
Introduction to Model Context Protocol (MCP)
Go beyond MCP basics with sampling, notifications, roots, and the STDIO and StreamableHTTP transports in Python.
Google: Optimize Agent Behavior
Integrate AI/LLM applications with APIs, databases, and filesystems easier than ever before with the Model Context Protocol (MCP).
Google: Manage Agent Memory and State
Turn a basic AI agent into a sophisticated assistant using advanced instructions, model selection, planning capabilities, and structured output.
Google: Human-Centered AI
Build stateful AI agents that maintain context and remember user preferences using session state, memory management, and personalization.