AI Engineering Bootcamp
From theory to production with evaluations, prompting, RAG, and agents
From theory to production with evaluations, prompting, RAG, and agents
Building autonomous AI coding agents that ship while you sleep
Bridge the gap between AI-generated code and production-ready, enterprise-grade solutions
Get started building an infrastructure for hosting GenAI on Kubernetes
Session 14 coming up
Session 4 coming up
Eight transactional saga patterns and their trade-offs
Get hands-on with compute, storage, and data
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
Session 3 coming up
Building robust, scalable memory architectures
Hands-on enterprise database integration for AI agents
Analyze And Verify Real Data without Writing Code
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
Connecting LLMs to real-world data through standardized interfaces
Design, connect, and deploy multistep automations
Build memory-rich AI agents with graph-based retrieval, temporal memory, and tool orchestration
From naive code translation to absolute behavioral parity
Session 3 coming up
Securing Modern Environments
Harness the power of AI-assisted coding
A practical guide for building a real-time data layer for analytics, applications, and AI
What to do when Linux breaks
Empowering AI agents with robust memory
Session 3 coming up
Planning and Mitigating Safe AI Systems
Linear regression as your gateway to data science
Become a Linux Power User in 4 Hours
Build, scale, and operationalize AI agents in Azure
Understand the model, explore use cases, and evaluate fast decisions in Python
Using technical diagrams to take your project from presentation to production
Autonomous task execution for complex coding in your JetBrains IDE
Learn the tools, processes, and culture of successful DevOps
Give your AI agents the ability to operate a computer
From personal builds to shareable team skills
Design agentic systems built from stable, specialized components
Building Software that solves the hard problems.
Building end-to-end data engineering solutions
Learn to use the official MCP SDKs for Python, Java, and Node.js
Build, govern, and automate your data platform
Fundamentals of Large Language Models Bootcamp: A practical guide to modern AI Systems
Walk the CCDV-F exam blueprint, drill practice questions across all domains, and leave with a personal study plan
Get hands-on with compute, storage, and databases
Deliver fast and stay safe
Unlock the Potential of AI-Driven Coding
Essential prompting techniques to accelerate project success
Architecture, deployment, and proactive automation
Using frameworks, MCP, and RAG for agentic AI
Unlocking truth with data
Use AI as a collaborative tool to turn requirements into enterprise solutions
Decode the five exam domains, drill the six official production scenarios with sample questions, and leave with a targeted study plan
Explore reusable solutions to common problems—including AI
Hands-on with LLMs, prompts, APIs, and tools like OpenAI and Claude
Getting started with modern software development
Proven techniques for confident communication
Best practices for microservice-style architectures
Protecting data in LLMs, RAG, and AI agents
Overcoming service and data granularity challenges
Using AI agents for safer Linux workflows
How shell commands power agentic AI workflows
Create and leverage AI agents using HTTP REST calls
Build your own LLM agents
Developing AI apps and agents on Azure
Stop wasting time and focus on high-impact projects
Understand how to use Model Context Protocol to transform your interactions with AI
Managing orchestration, memory, and evaluation
Claude Code content, driven by conversation
OpenAI’s complete framework for real-world agents with compelling interfaces
Bots, identity attacks, and artificial intelligence threats
Delegate and automate multistep tasks and repeatable workflows
Empowering data-driven insights and proactive decision-making
Principles and Practices for AI Stakeholders
Learn the basics of AWS and prepare for the exam
Best way to break into the cybersecurity field +AI
AI-empowered development with the fastest-growing coding agent
Access ChatGPT, Claude, Gemini, and other AI tools in your Java programs
Learn to design and build a useful agent Skill
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