AI-Augmented Software Design
From identifying flaws to architecting new features
From identifying flaws to architecting new features
Develop custom AI assistants using GPT technology for real-world applications
Effectively handle large model contexts for maximizing GenAI quality and performance
Visualizing and sharing impactful data insights
Tips and Tricks for Technical and Business Writers
Master the 8 CISSP domains and learn how AI is reshaping cybersecurity
Session 2 coming up
Design and build production-ready agentic infrastructure
From builder to planner + GenAI
From builder to strategist
Hands-on with Llama 3.2, Qwen 2.5 and Gemma 2
Use architecture as code and other techniques to optimize AI implementation
Use generative AI to automate the creation of unit tests for new and existing code
Becoming effective as an enterprise architect
Unlock the Potential of AI-Driven Coding
How to boost your productivity with generative AI
Context, research, problem framing, critical thinking, and refining
Using Claude, Copilot, and other AI tools to save time and work more efficiently
Session 12 coming up
Design and build agentic workflow and deep research harnesses
Building adaptive RAG pipelines using AI agents
Using architecture quantum to analyze static, dynamic, and communication coupling
Develop AI cloud solutions on Azure
Build a solid foundation for the exam with hands-on practice and concepts
From principles to code
From SQL to agents
Understand GPU computing, distributed workloads, and efficiency
Querying your local files privately with Llama 3
Leveraging foundation models for scalable, production-ready AI systems
Python programming for beginners
Build, test, and refine AI agents using Pydantic AI
Improve content creation, automate development tasks, and generate insightful data analysis
Improve your search, optimize your resume, and practice for the interview
Build your career resilience and personal brand
Reduce interruptions and build a practical deep-work plan
Practical approaches for integrating AI into monitoring, incident management, and IT operations efficiency
Help guide your agents to build properly architected code
From problem to production
Building a resilient defense to manage and reduce your risk
Session 13 coming up
Session 2 coming up
From vibe coding to verifiable, production-grade AI development
Get ready for the exam with hands-on exercises
Build intelligent agents from existing APIs
Implement RAG with LlamaIndex
Session 2 coming up
Claude Code content, driven by conversation
Turn your ideas into working solutions
Taking your first steps as a Linux admin
Practical tips and best practices
Integrate AI and automation for innovation, risk mitigation, and measurable ROI
Agentic Command-Line Development with Antigravity 2.0
Hands-on web design with Claude’s AI tools
Create effective charts and dashboards using Copilot, Claude, ChatGPT, and other generative AI tools
Automate Real-World Tasks with AI Agents, LLMs, and No-Code Workflows
Prevent leakage, loss, contamination, and other data risks in GenAI systems
Safeguard the next generation of AI agents
Master the seven exam domains, practice with Projects, prompting, and output validation, work through sample questions, and leave with a personal study plan
Build RAG applications with AWS Bedrock and Python
Design experiments to measure GenAI features at scale
Design decisions that help (or hinder) your AI-assisted engineering
Webデザイナー、ブロガーなどHTMLをご存じの方のためのプログラミング超入門
Partnering with AI tools for functional and nonfunctional testing and automation
From theory to production with evaluations, prompting, RAG, and agents
Bridge the gap between AI-generated code and production-ready, enterprise-grade solutions
Building autonomous AI coding agents that ship while you sleep
Get started building an infrastructure for hosting GenAI on Kubernetes
How these protocols work and how to analyze them
Get hands-on with compute, storage, and data
Eight transactional saga patterns and their trade-offs
Decode the seven CCAR-P exam domains, drill official-style questions on RAG, integration, and governance trade-offs, and leave with a targeted study plan
From meaningless coverage to behavioral safety
Analyze And Verify Real Data without Writing Code
Building robust, scalable memory architectures
Hands-on enterprise database integration for AI agents
Crafting content with generative AI
Improve your productivity and decision-making skills with empirically based methods
Getting started with modern software development
A hands-on introduction in two hours
Enhance your Mermaid, PlantUML and Structurizr diagrams as code
DOMを使った動的なWebページの作成 方法
Give agents the capability to see, click, and act safely on the web
Comprehensive administration, infrastructure integration, and workload lifecycle strategies
Beyond the basics
Delegate knowledge work, build reusable workflows, and automate recurring tasks
Understanding the power and complexity of microservice architectures
Building production-ready agents with Anthropic’s native framework
Build memory-rich AI agents with graph-based retrieval, temporal memory, and tool orchestration
Design, connect, and deploy multistep automations
Connecting LLMs to real-world data through standardized interfaces
From naive code translation to absolute behavioral parity
Securing Modern Environments
1 - 100 of 250