Agency Agents turns Claude Code into a full department of specialists — a frontend wizard, a security reviewer, a Reddit community manager — instead of one generalist juggling everything at once. It’s free, open source, and has quietly become one of the most-starred agent-persona projects on GitHub. View Agency Agents on GitHub 129,286 stars 21,018… Continue reading
Learn what Claude Code is, install it, authenticate, set up your terminal and IDE, and run your first session.
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Large language models have transformed how we interact with technology, enabling machines to understand and generate human-like text with remarkable fluency. These powerful AI systems underpin tools like ChatGPT and are reshaping education, business, and creative work. In this lesson, you will learn what large language models are, how they work, and how to use… Continue reading
Agentic AI transforms how cloud architects build intelligent systems on AWS. Instead of writing rigid procedural code for every workflow, you delegate goals to software agents that perceive context, reason about trade-offs, and act on your behalf. This guide covers the foundations and shows how Amazon Bedrock, AWS Lambda, and AWS Step Functions bring autonomous… Continue reading
Learn to use Claude Code’s built-in slash commands for context management, session control, and configuration.
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ChatGPT account setup is your first real step into the world of conversational AI. In the next few minutes you will create a login, verify it, explore the interface, send your first message, and learn how to choose the plan that fits you. ChatGPT account: What You’ll Learn This beginner guide walks you through every… Continue reading
Agentic AI flips the usual chatbot script: instead of a model that only answers questions, you give it a job, a set of tools, and the judgment to decide when to use them. In this lab you’ll build that pattern end to end with Amazon Bedrock Agents — a travel-booking assistant that can check flight… Continue reading
Understand how Claude Code remembers context across sessions using CLAUDE.md files and auto memory.
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ChatGPT prompting is the skill of giving the AI clear, specific instructions so it returns exactly what you need. This hands-on guide breaks down the anatomy of a great prompt, proven structures, and before-and-after examples that show the dramatic difference good prompting makes. ChatGPT prompting: What You’ll Learn This lesson teaches ChatGPT prompting from the… Continue reading
Agentic AI patterns are the reusable blueprints that turn a generic language model into a purposeful production system. Where Part 1 covered the why, this guide maps each pattern — reasoning, retrieval-augmented, orchestrator, multi-agent — to the AWS services that bring it to life. Agentic AI Patterns: What You’ll Learn You’ll recognize the core patterns,… Continue reading
Configure Claude Code for a new or existing project with CLAUDE.md, permissions, and settings.
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ChatGPT context is the single biggest lever you control over answer quality. Give the model your background, examples, role, reference text, and constraints, and generic replies turn into precise, useful, ready-to-ship work tailored to your exact situation. ChatGPT context: What You’ll Learn This guide teaches ChatGPT context from the ground up: the six kinds of… Continue reading
Most “AI agent” demos stop at a single prompt-and-response call, but real agentic AI patterns are built from loops: a model reasons, picks a tool, observes the result, and reasons again until it has an answer worth trusting. In this lab you’ll build two of these foundational patterns from scratch on AWS. The first is… Continue reading
Master advanced Claude Code commands: context management, bundled skills, fast mode, keyboard shortcuts, and power features.
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AI outputs can read as confident and polished while quietly carrying wrong facts, fake citations, or buggy code. This lesson teaches a calm, repeatable way to review what a model gives you, spot hallucinations, fact-check claims, and decide when a result is safe to trust. AI outputs: What You’ll Learn This guide gives you a… Continue reading
Agentic frameworks turn a raw LLM into a dependable agent. Here we look at the frameworks, platforms, and protocols you actually install and ship on AWS: LangChain, Strands Agents, CrewAI, AutoGen, MCP, and A2A. Agentic Frameworks: What You’ll Learn Agentic frameworks encode the critical plumbing — prompt assembly, tool calling, retry loops, memory, tracing —… Continue reading
Learn to design and build effective Claude Code skills with progressive loading, dynamic context, and invocation control.
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responsible AI use means treating every prompt as a real-world decision about privacy, fairness, and accountability. This guide walks you through the principles, habits, and safeguards that let you use ChatGPT and other tools confidently without exposing data, spreading errors, or causing harm. Responsible AI: What You’ll Learn This lesson explains responsible AI from the… Continue reading
Choosing between agentic AI frameworks is one of the first real architectural decisions you make when moving from “call an LLM” to “build an agent that plans, calls tools, and reports back.” In this lab you’ll build the exact same research assistant twice — once with AWS’s open-source Strands Agents SDK, once with LangChain wired… Continue reading
Automate your Claude Code workflow with hooks that react to events like tool usage, session stops, and file changes.
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