Transforming and Analyzing Data With DuckDB
From zero to analytical power in just 4 hours
From zero to analytical power in just 4 hours
For first-time leads, player-coaches, and accidental managers
From embeddings to production-grade hybrid search for AI
From mind maps to automated Zettelkasten
Better, faster, smarter code
Detect issues in code and fix vulnerabilities
Tools to continuously improve your architecture
Building adaptive RAG pipelines using AI agents
Design and build agentic workflow and deep research harnesses
Understand how AI agents are shaping the future of work and how you can get started
Challenges, concepts, and critical shifts
How to boost your productivity with generative AI
Learn how to apply the fundamentals through real-world examples
Build the relationship key to your success
Build and deploy a real-time voice agent in 2 hours
Managing and delivering AI projects
Strategies for working with code using Claude, Cursor, or any other AI coding assistant
Strengths, weaknesses, and deciding which agentic assistant is right for your work
Understand the capabilities and use cases of AI tools
Walk the CCDV-F exam blueprint, drill practice questions across all domains, and leave with a personal study plan
Specifying Software Architecture for Humans and Agents
Learn to create, train, and safely deploy autonomous agents
Expert generalist foundations
From problem to production
Claude Code content, driven by conversation
Protect agents, tools, memory, and AI supply chains
Scale, automate, and deploy AI
Using Claude, Copilot, and other AI tools to save time and work more efficiently
A guide through the ins and outs of the internet's most important protocol
Grow, influence, and advance as a technical leader
Understand GPU computing, distributed workloads, and efficiency
Bridge the gap between AI-generated code and production-ready, enterprise-grade solutions
Unlock the Potential of AI-Driven Coding
エージェントが自分で改善できるループを作る
Claude, CursorAI, and JavaScript
Build, test, and refine AI agents using Pydantic AI
Understanding the power and complexity of microservice architectures
Essential prompting techniques to accelerate project success
Building production-ready agents with Anthropic’s native framework
A hands-on introduction in two hours
Selecting the best solution for your system
Focus on the right things, deliver results, and outperform competitors
From builder to planner + GenAI
Build a Neural Network with NumPy!
Build memory-rich AI agents with graph-based retrieval, temporal memory, and tool orchestration
Optimize your use of Claude Code, Cursor, and Copilot
Design agentic systems built from stable, specialized components
Using technical diagrams to take your project from presentation to production
Reduce interruptions and build a practical deep-work plan
Analyze and verify real data without writing code
Build intelligent agents from existing APIs
Build RAG applications with AWS Bedrock and Python
Master the 8 CISSP domains and learn how AI is reshaping cybersecurity
Get more done each day with the help of AI
Using frameworks, MCP, and RAG for agentic AI
Harness generative AI to write, review, and refactor code
Harness the power of AI-assisted coding
Create effective charts and dashboards using Copilot, Claude, ChatGPT, and other generative AI tools
How to Get Paid to Hack for a Living + AI
Understand the model, explore use cases, and evaluate fast decisions in Python
Develop AI cloud solutions on Azure
Build, optimize, and deploy RAG applications for production
Give agents what they need and get it listed where people can find it
Identify Gaps, Target the Skills, and Upgrade Your Resume
Build an isolated execution layer for your AI agents
Using architecture quantum to analyze static, dynamic, and communication coupling
Software architecture for the agent era
Build machine learning algorithms from scratch with Python
Strategies for getting heard and advancing your career
Delegate knowledge work, build reusable workflows, and automate recurring tasks
Effectively handle large model contexts for maximizing GenAI quality and performance
How to handle data in an increasingly distributed world
Breaking and fixing real systems
Cutting through hype to make confident decisions for AI adoption
Decode the five exam domains, drill the six official production scenarios with sample questions, and leave with a targeted study plan
Real-world AI agent applications from scratch
Get started building an infrastructure for hosting GenAI on Kubernetes
Hands-on exploitation and defense in a controlled environment
Build systems that are adaptive, scalable, and collaborative
Designing and deploying enterprise agentic systems
Turn voice notes into scheduled days, meeting recordings into draft posts, and recurring prompts into a personal Skills toolkit that compounds across projects
Become a Linux power user
Using Gemma, Qwen, DeepSeek and other generative LLMs on your own hardware and tailor them to your needs
Give agents the capability to see, click, and act safely on the web
Master the exam domains and leave with a personal study plan
From Vibe Coding to Verifiable, Production-Grade AI Development
What to do when Linux breaks
Build custom apps, automate workflows, and expand your AI toolkit
Eight transactional saga patterns and their trade-offs
Decode the seven exam domains, drill official-style questions on RAG, integration, and governance trade-offs, and leave with a targeted study plan
Design decisions that help (or hinder) your AI-assisted engineering
Build the right thing. Know that it works.
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