Build Your First Local Agent with Hermes
A hands-on introduction in two hours
A hands-on introduction in two hours
Enhance your Mermaid, PlantUML and Structurizr diagrams as code
Session 7 coming up
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
Session 15 coming up
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
Session 3 coming up
Securing Modern Environments
From naive code translation to absolute behavioral parity
A practical guide for building a real-time data layer for analytics, applications, and AI
Harness the power of AI-assisted coding
What to do when Linux breaks
Empowering AI agents with robust memory
Session 3 coming up
Planning and Mitigating Safe AI Systems
Get hands-on with compute, storage, and data
Linear regression as your gateway to data science
Become a Linux Power User in 4 Hours
Build, scale, and operationalize AI agents in Azure
Using technical diagrams to take your project from presentation to production
Understand the model, explore use cases, and evaluate fast decisions in Python
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
Building Software that solves the hard problems.
Design agentic systems built from stable, specialized components
Session 2 coming up
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
Session 4 coming up
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
Decode the five exam domains, drill the six official production scenarios with sample questions, and leave with a targeted study plan
Use AI as a collaborative tool to turn requirements into enterprise solutions
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
Overcoming service and data granularity challenges
Best practices for microservice-style architectures
Protecting data in LLMs, RAG, and AI agents
Using AI agents for safer Linux workflows
How shell commands power agentic AI workflows
Build your own LLM agents
Developing AI apps and agents on Azure
Create and leverage AI agents using HTTP REST calls
Understand how to use Model Context Protocol to transform your interactions with AI
Managing orchestration, memory, and evaluation
Stop wasting time and focus on high-impact projects
Claude Code content, driven by conversation
OpenAI’s complete framework for real-world agents with compelling interfaces
Bots, identity attacks, and artificial intelligence threats
Empowering data-driven insights and proactive decision-making
Delegate and automate multistep tasks and repeatable workflows
AI-empowered development with the fastest-growing coding agent
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
Access ChatGPT, Claude, Gemini, and other AI tools in your Java programs
Workload-aware model serving, latency, cost, and capacity planning for production GenAI
Developing smart applications using Azure AI services
Learn to design and build a useful agent Skill
Using AI to find information you can trust
Build a prototype that can iteratively enhance its own reasoning and collaboration skills
10x more powerful analytics with reliable, traceable, and reproducible agentic workflows
Session 2 coming up
Patterns for running more than one agent without losing control
Build an AI reviewer your team will trust
A practical framework for sound judgment at work
Partnering with AI tools for functional and nonfunctional testing and automation
Managing GPU workload scheduling to decrease infrastructure costs
Learn how to best support, respond to, persuade, and inspire your team
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