Content Roadmap
We are always working on new content so Treehouse students can stay up to date with the latest technology. This content roadmap contains everything that's planned for release. Please contact support if there is a course you want to take but don't see listed.
The dates reflected for each course are estimates and may change.
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15 minWorkshop
Day 8: How to Write an App Spec for AI Builder Tools
Write your first MVP spec with AI using a six-part template, and learn front end, back end, API, and database language so you can describe problems clearly. This is part of the AI Bootcamp. Click here to learn more.
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8 minWorkshop
Day 1: What AI Is and How Large Language Models Work
Learn what AI really is, how large language models work, what ChatGPT, Claude, Gemini, and Perplexity each do best, and the safety habits to start with. This is part of the AI Bootcamp. Click here to learn more.
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12 minWorkshop
Day 2: What AI Platforms Can Do Beyond Chatbots
Go past basic chat. Compare Projects, memory, agents, deep research, Artifacts, and scheduled automation across ChatGPT, Claude, Gemini, and Perplexity. This is part of the AI Bootcamp. Click here to learn more.
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22 minWorkshop
Day 3: The 5 Principles of Effective AI Prompting
The five principles of effective prompting: direction, format, examples, quality, and divide labor, plus the conversation habits that keep AI on track. This is part of the AI Bootcamp. Click here to learn more.
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20 minWorkshop
Day 4: Advanced AI Prompting, Personas and Mega-Prompts
Level up with framing strategies, personas, mega-prompts, meta-prompts, chain of verification, and the prompting shifts that actually matter in 2025–26. This is part of the AI Bootcamp. Click here to learn more.
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14 minWorkshop
Day 5: Validate Your App Idea with AI Deep Research
Use Perplexity Deep Research to size your market, tear down competitors, mine Reddit for real pain points, and stress-test your idea before you build. This is part of the AI Bootcamp. Click here to learn more.
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9 minWorkshop
Day 6: How to Scope Your MVP and Name Your App
Cut your idea down to a buildable MVP. Triage features into must-have, nice-to-have, and later, then name your app and write a solid problem statement. This is part of the AI Bootcamp. Click here to learn more.
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10 minWorkshop
Day 7: Build Your First App with AI, No Code Required
Compare the four AI builder tools, then paste your idea into one and watch it generate a real, working app with no code and no prior experience required. This is part of the AI Bootcamp. Click here to learn more.
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7 minWorkshop
Day 9: The 5 Ways AI Fails and How to Fix Each One
Diagnose generic answers, hallucinations, off-topic drift, tone mismatch, and repeated mistakes, with the specific fix for each and when to start over. This is part of the AI Bootcamp. Click here to learn more.
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10 minWorkshop
Day 10: Stress-Test Your App Spec with Reverse Prompting
Complete your user flows and success criteria, then use reverse prompting to find every gap a builder tool would otherwise have to fill in with a guess. This is part of the AI Bootcamp. Click here to learn more.
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16 minWorkshop
Day 11: Cursor, Claude Code and Codex for Beginners
Move past simple builders. Compare Cursor, Claude Code, and Codex, then export a real app to GitHub and add features with an AI agent inside your codebase. This is part of the AI Bootcamp. Click here to learn more.
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10 minWorkshop
Day 12: What AI Agents Are and How to Build One
See how AI agents differ from chatbots, learn the four parts of every agent, and build a real multi-step task in Claude Cowork, then put it on a schedule. This is part of the AI Bootcamp. Click here to learn more.
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11 minWorkshop
Day 13: Analyze Data and Build a Dashboard with AI
Upload a CSV, explore it, ask better questions, and have AI build an interactive dashboard. No SQL, no data analyst, and no specialized tooling required. This is part of the AI Bootcamp. Click here to learn more.
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22 minWorkshop
GitHub for Non-Technical Users: Version Control Basics
Learn repos, commits, push, pull, branches, and revert: the safety net that lets you build with AI without losing work or fearing a broken project. This is part of the AI Bootcamp. Click here to learn more.
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9 minWorkshop
Day 14: Web App vs AI Agent vs Data Dashboard
Compare the three build tracks, pick the one that fits your idea, and adapt your spec with track-specific sections before the build weeks begin. This is part of the AI Bootcamp. Click here to learn more.
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2 minWorkshop
Day 15: Understand AI Agents and Plan Your First One
Learn what makes an AI agent different from a simple chatbot or one-off prompt. You’ll explore the loop agents use to plan and act, then write a clear project specification that gives your first agent a useful direction and measurable outcome. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 16: Build an Agent in Claude Cowork and the Claude App
Get hands-on with Claude’s agent-focused workflows. Learn what Claude Cowork is useful for, then turn your project idea into a working agent inside the Claude app with clear instructions and a focused task. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 17: Extend Your Agent with Connectors and Computer Use
Move beyond an agent that only reads and writes text. Learn how connectors provide access to useful services and how computer use can let an agent interact with a screen on your behalf—while keeping control and safety in mind. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 18: Understand and Create AI Skills
Learn how skills package repeatable instructions and expertise for an AI agent. You’ll understand when skills are useful and create your first one so an agent can perform a focused task more consistently. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 19: Use /goal for Better Agent Workflows
Learn how the /goal command helps an agent work toward a larger outcome. Compare goal-based planning with the /loop command, and choose the right approach for short repeated work versus more complex multi-step tasks. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 20: Define Your Agent’s Goal and Improve Its Prompt
Decide exactly what your agent should do before you build it. You’ll define useful outcomes, clarify boundaries, and revise your prompt so a custom agent has the context it needs to behave consistently. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 21: Build a Custom AI Agent
Bring your plan and prompt together to create a custom AI agent. You’ll configure the agent’s role, instructions, and expected behavior, then test it against realistic tasks and make focused improvements. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 22: Choose an AI Model and Explore OpenRouter
Learn how model choice affects an agent’s quality, speed, cost, and capabilities. Compare the factors that matter for different tasks, then explore OpenRouter as a way to access and evaluate multiple models. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 23: Connect Services and Equip Your Agent with Tools
Give your agent practical ways to interact with the world. Learn how CLIs, APIs, and MCPs connect an agent to services, then decide which tools it needs and how to describe them clearly. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 24: Give Your AI Agent Persistent Memory
Learn how an agent can retain useful information across interactions. Explore what should be remembered, how memory improves continuity, and how to keep stored context accurate, relevant, and respectful of user privacy. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 25: Add Guardrails and Safety to Your AI Agent
Design an agent that is useful without giving it unchecked authority. Learn how guardrails, permissions, validation, human review, and clear failure behavior help protect users, data, and connected systems. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 26: Manage Multiple Agents and Explore Alternatives
Explore what changes when one task becomes a team of agents. Learn how to divide responsibilities, coordinate work, and review results, then survey popular alternatives so you can choose tools that fit your goals. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 27: Create an Optional GUI for Your AI Agent
Give your agent a friendly interface that makes its capabilities easier to discover and use. This optional workshop covers the design decisions behind a simple GUI, including inputs, progress, results, errors, and user control. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 28: Reflect on Your AI Agent Journey
Look back on the full agent-building journey and identify the ideas, tools, and safety practices that shaped your work. Reflect on how you now think with AI, then create a practical plan for moving forward as an AI-native agent builder. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 15: Build Your Web App Foundation
Set up the essential foundation for a modern web app. You’ll create a clean application scaffold, add secure user authentication with Clerk, and connect a Convex project database so your app is ready for real users and persistent data. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 16: Connect Your Web App to External Services and AI
Give your web app access to the services that make it useful. Explore CLIs, APIs, and MCPs, then connect an AI API so your project can respond to real inputs and deliver intelligent functionality. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 17: Fix the Core Loop of Your Web App
Focus on the one experience your app must deliver well. You’ll trace the core loop from user input to outcome, identify friction or failure points, and make targeted improvements that create a clearer, more dependable product. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 18: Debug Your Web App with AI
Learn a repeatable approach for using AI to investigate bugs without losing control of your codebase. Turn symptoms into useful prompts, inspect likely causes, apply focused fixes, and verify that your app still works. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 20: Deploy and Test Your Web App in Production
Move your app beyond local development and test the production experience. Learn how deployment changes the way your app behaves, how to verify the essential flows, and how to catch issues before real users do. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 21: Break Your App and Learn from Real User Testing
Find problems before launch by intentionally testing your app under imperfect conditions and observing someone else use it. You’ll turn failures and moments of confusion into practical product improvements. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 23: Protect Your Web App with Security and Safety Practices
Build safer habits for protecting user data and application behavior. Learn the practical security checks every beginner should consider before launch, including access control, secrets, validation, and safe AI-assisted development. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 24: Build a Second User Flow
Expand your app beyond its first successful experience. Plan and build an additional feature flow that fits your existing architecture, reuses proven patterns, and creates more value for users. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 25: Solo Build Day
Use a focused build session to make meaningful progress on your own app. Apply the planning, implementation, testing, debugging, and refinement techniques from the track while making decisions that fit your project. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 26: Prepare and Launch Your Web App
Get your app ready for the public with practical launch preparation. Set up monitoring, performance and SEO checks, analytics, feedback collection, and optional production configuration before promoting your app to its first users. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 27: Refine Your Live App and Plan What Comes Next
Use real-world feedback to make your app better after launch. Fix live bugs, address usability issues, and create a thoughtful roadmap so future work remains focused on user needs and measurable improvements. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 28: Reflect on Your AI-Native Web App Journey
Look back on the full journey from app scaffold to launch and identify the skills, decisions, and habits that made the work possible. Reflect on how your approach to building has changed, then create a practical plan for moving forward as an AI-native web builder. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 15: Plan a Data Dashboard Around a Real Question
Learn what a data dashboard is and why the best dashboards begin with a decision, not a collection of charts. Choose a personal question, define the audience and metrics, and write a project spec that gives your dashboard a clear purpose. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 16: Collect and Prepare Your Personal Dataset
Turn a personal dataset into a reliable foundation for analysis. Learn how to collect data responsibly, remove sensitive information, and prepare values, categories, dates, and missing data for consistent use. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 17: Analyze Data with AI and Verify the Results
Use AI to explore patterns in your dataset while keeping yourself responsible for the conclusions. Learn how to ask useful analysis questions, review calculations and assumptions, and separate supported insights from overconfident claims. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 18: Build Your First Personal Dashboard in Claude
Turn your prepared dataset and verified insights into a first dashboard in Claude. Learn how to translate data into useful metrics, readable charts, and actions a person can take. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 19: Choose Charts and Tell a Clear Data Story
Make your dashboard easier to understand by matching each question to the right chart. Then organize metrics, comparisons, and explanations into a story that helps viewers see what matters and what to do next. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 20: Use Your Dashboard to Make a Decision
Put your dashboard to work by using it to answer the original question and make a real decision. Learn how to notice what is missing, what is confusing, and what should change in the next version. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 21: Test Your Dashboard with Another Person
Find usability problems by watching another person use your dashboard. Turn their questions and points of confusion into requirements for a more polished custom dashboard. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 22: Design a Professional Dashboard Experience
Move from a working prototype to a polished dashboard design. Use Claude Design to explore layout and visual direction, then prepare a precise handoff for implementation in Claude Code or Codex. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 23: Build a Custom Dashboard and Import Fresh Data
Build the custom dashboard from your design and project spec using Claude Code or Codex. Then add CSV import so the dashboard can be refreshed with new data instead of remaining a one-time prototype. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 24: Make Your Dashboard Interactive and Test the Spec
Give viewers more control over the information they see. Add filters, sorting, date ranges, comparisons, and metric selection, then test each feature against the project spec and intended decision. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 25: Break and Stress-Test Your Dashboard
Look for problems before sharing your dashboard by intentionally testing edge cases and imperfect conditions. Verify calculations, accessibility, mobile layouts, and error states so the experience remains trustworthy. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 26: Extend a Personal Dashboard for Teams
Explore the optional advanced path from a personal dashboard to a shared team product. Add authentication and a shared database, then design membership, roles, views, and permissions that keep team data secure. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 27: Publish and Use Your Dashboard Safely
Prepare your dashboard for real use and share it responsibly. Learn how to publish safely, update it with current data, and use the results to support a real decision instead of treating the dashboard as a finished artifact. This is part of the AI Bootcamp. Click here to learn more.
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Workshop
Day 28: Reflect on Your AI-Native Data Dashboard Journey
Look back on the complete journey from personal question and dataset to dashboard, decision, and sharing. Reflect on what you learned about data, design, AI-assisted building, and responsible decisions, then choose how to apply those lessons moving forward as an AI-native data builder. This is part of the AI Bootcamp. Click here to learn more.
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