Building AI Apps with Small Language Models (SLMs)

Hands-on with Llama 3.2, Qwen 2.5 and Gemma 2

Agentic Coding with OpenAI Codex CLI

Unlock the Potential of AI-Driven Coding

Modern Enterprise Architecture Practices

Becoming effective as an enterprise architect

AI-Assisted Test-Driven Development

Use generative AI to automate the creation of unit tests for new and existing code

A Five-Step Framework for Effective AI-Assisted Coding

Context, research, problem framing, critical thinking, and refining

Generative AI for Excel

Using Claude, Copilot, and other AI tools to save time and work more efficiently

Cursor for Software Engineers

How to boost your productivity with generative AI

Advanced Harness Engineering

Design and build agentic workflow and deep research harnesses

Agentic RAG with LangGraph

Building adaptive RAG pipelines using AI agents

Google Professional Cloud Architect Certification Crash Course

Build a solid foundation for the exam with hands-on practice and concepts

Azure AI Cloud Developer Associate (AI-200) Crash Course

Develop AI cloud solutions on Azure

Software Architecture Trade-Off Analysis

Using architecture quantum to analyze static, dynamic, and communication coupling

Hands-on Software Design

From principles to code

Building with Snowflake Cortex Code

From SQL to agents

Getting Started with AI Infrastructure and GPU Computing

Understand GPU computing, distributed workloads, and efficiency

Getting Started with Llama and Other Local Models

Querying your local files privately with Llama 3

Building AI Applications with AWS Bedrock

Leveraging foundation models for scalable, production-ready AI systems

Python in 5 Weeks: Python Programming for Beginners—with Interactivity

Python programming for beginners

Eval-Driven Development for Reliable Agents

Build, test, and refine AI agents using Pydantic AI

Hands-on Prompt Engineering

Improve content creation, automate development tasks, and generate insightful data analysis

Using Generative AI to Land Your Next Job

Improve your search, optimize your resume, and practice for the interview

Reclaim Your Focus

Reduce interruptions and build a practical deep-work plan

Becoming Irreplaceable in the Age of AI

Build your career resilience and personal brand

Getting Started with AIOps

Practical approaches for integrating AI into monitoring, incident management, and IT operations efficiency

Teach Your Agents About Software Architecture

Help guide your agents to build properly architected code

Cybersecurity Frameworks

Building a resilient defense to manage and reduce your risk

AI System Design

From problem to production

Spec-Driven Development with Claude Code

From vibe coding to verifiable, production-grade AI development

Hands-on Retrieval Augmented Generation (RAG)

Implement RAG with LlamaIndex

Transforming APIs into Agents with MCP

Build intelligent agents from existing APIs

AWS AI Practitioner Certification (AIF-C01) Crash Course

Get ready for the exam with hands-on exercises

Agentic Coding Live with Chelsea Troy

Claude Code content, driven by conversation

Linux Administration

Taking your first steps as a Linux admin

AI Prototyping for Everyone

Turn your ideas into working solutions

Hands-on GitHub Copilot

Practical tips and best practices

Enterprise Architecture Modernization with Generative AI, RAG, and Agents

Integrate AI and automation for innovation, risk mitigation, and measurable ROI

Agentic Coding with Google Antigravity CLI

Agentic Command-Line Development with Antigravity 2.0

Claude Design for Full Stack Development

Hands-on web design with Claude’s AI tools

AI-Powered Excel Charts

Create effective charts and dashboards using Copilot, Claude, ChatGPT, and other generative AI tools

Data Risks, Controls, and Guardrails for Gen AI

Prevent leakage, loss, contamination, and other data risks in GenAI systems

n8n AI Bootcamp: Building AI Workflows and Agents From Scratch

Automate Real-World Tasks with AI Agents, LLMs, and No-Code Workflows

Claude Certified Associate Exam Prep: A Two-Hour Crash Course

Master the seven exam domains, practice with Projects, prompting, and output validation, work through sample questions, and leave with a personal study plan

Hands-On RAG with AWS

Build RAG applications with AWS Bedrock and Python

Harnessing Modularity for Coding Agents

Design decisions that help (or hinder) your AI-assisted engineering

Statistical Testing for LLM Evaluations

Design experiments to measure GenAI features at scale

JavaScriptプログラミング明快入門

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

Generative AI for Software Testing

Partnering with AI tools for functional and nonfunctional testing and automation

Loop Engineering

Building autonomous AI coding agents that ship while you sleep

AI Engineering Bootcamp

From theory to production with evaluations, prompting, RAG, and agents

SOLID Principles for AI-Generated Code

Bridge the gap between AI-generated code and production-ready, enterprise-grade solutions

AI and LLM Deployment with Kubernetes

Get started building an infrastructure for hosting GenAI on Kubernetes

TCP/IP with Wireshark Essentials for NetOps and SecOps

How these protocols work and how to analyze them

Google Cloud Fundamentals

Get hands-on with compute, storage, and data

Claude Certified Architect – Professional Exam Prep: A Two-Hour Crash Course

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

Designing Distributed Systems

Eight transactional saga patterns and their trade-offs

Unit Testing Legacy Systems using AI

From meaningless coverage to behavioral safety

Claude Cowork for Data Analysis

Analyze And Verify Real Data without Writing Code

Enterprise MCP with SQL and no-SQL Databases

Hands-on enterprise database integration for AI agents

Prompting Bootcamp

Crafting content with generative AI

Build Your Critical Thinking Skills

Improve your productivity and decision-making skills with empirically based methods

AI-Assisted Coding with Claude and Cursor

Getting started with modern software development

Build Your First Local Agent with Hermes

A hands-on introduction in two hours

Generative AI for Software Architecture Diagrams

Enhance your Mermaid, PlantUML and Structurizr diagrams as code

JavaScriptでHTMLを操作する

DOMを使った動的なWebページの作成 方法

Red Hat OpenShift Virtualization for Administrators

Comprehensive administration, infrastructure integration, and workload lifecycle strategies

Harness Engineering for Browser Agents

Give agents the capability to see, click, and act safely on the web

Advanced SQL Queries in 90 Minutes—with Interactivity

Beyond the basics

OpenAI Codex for Everyone

Delegate knowledge work, build reusable workflows, and automate recurring tasks

Microservice Fundamentals

Understanding the power and complexity of microservice architectures

Getting Started with Claude Agent SDK

Building production-ready agents with Anthropic’s native framework

Hands-On Agentic GraphRAG

Build memory-rich AI agents with graph-based retrieval, temporal memory, and tool orchestration

MCP Bootcamp: Building AI Agents with Model Context Protocol

Connecting LLMs to real-world data through standardized interfaces

Building Custom Agents with Microsoft Copilot Studio

Design, connect, and deploy multistep automations

Zero Trust for AI Systems

Securing Modern Environments

Linux Security from Zero to Hero

Migrating Spec-less Code with AI and Parity

From naive code translation to absolute behavioral parity

Agentic Coding with Claude Code

Harness the power of AI-assisted coding

Change Data Capture in Action with SQL Server & PostgreSQL

A practical guide for building a real-time data layer for analytics, applications, and AI

Troubleshooting Linux

What to do when Linux breaks

AI Agent Memory Management Bootcamp

Empowering AI agents with robust memory

Building Multimodal Agents with Gemini and Google ADK

Agentic AI Safety and Security

Planning and Mitigating Safe AI Systems

Microsoft Fabric Machine Learning Fundamentals

Linear regression as your gateway to data science

Linux Internals Ins and Outs (Updated)

Become a Linux Power User in 4 Hours