Academy

Stage-by-stage operational playbook from pilot to scale — resistance patterns, adoption curves, embedding rituals, and the grassroots tactics that make AI stick

AI in Your CRM: Salesforce & HubSpot

The AI now inside the tools you already pay for: what a rep can use today, what to ask your admin for, and the pipeline rituals run with AI in the loop.

The AI Finance Back Office

The repetitive checks that eat the finance week, invoices, expenses, vendor contracts, done by AI at your desk, with the evidence trail that keeps auditors happy.

7 chapters ~2 hr

Customer Experience at AI Speed

The AI playbook for customer experience teams — ticket triage, reply drafting, knowledge base generation, voice of customer analysis, and the ethical anchor on deflection

Data Work with AI

Vendor-agnostic AI for analysts — no Copilot. Process and ideas, with Microsoft Excel as tool example. Better questions, cleaner data, exploratory analysis, narrative communication, reproducible patterns, rigor about hallucinations.

Finance at AI Speed

AI-assisted finance workflows — spreadsheet analysis, budgeting & forecasting, document extraction, management commentary, investor materials, and Copilot for finance

People Ops, Reimagined

AI as a decision-support partner for HR teams — recruiting, onboarding, performance, employee insights, policy drafting, and lightweight coding for HR workflows

10 chapters

Leading in the AI Era

The five decisions only executives can make — strategy, build/buy/partner, org design, risk governance, and change leadership for AI transformation

The AI-Augmented Lawyer

AI for in-house legal teams — contract review, drafting, legal research, privacy & DPA reviews, negotiation tracking, and the hallucination guardrails that keep it defensible

10 chapters

The Modern Marketer

The AI toolkit for marketers — pick the right tool per job, extract and protect brand voice, plan campaigns, master Generative Engine Optimization (GEO), build small marketing automations, recognize when AI is your thinking partner vs when it lies, and measure with judgment

Operations at AI Speed

Deploy AI across operational workflows — process mapping, helpdesk bots, no-code automation, reporting dashboards, vendor procurement, and frontline tools

Building Product with AI

AI-accelerated product management — specs & PRDs, user research synthesis, competitive analysis, roadmap comms, A/B test design, and coding-lite tools for PMs

Selling at AI Speed

The recipe book for non-technical sales practitioners — signal-based prospecting, outreach at scale with verified facts, pre-call dossiers, AI-assisted forecasting, polished proposals, lightweight coding for sales workflows, and Copilot inside CRM-grounded selling

7 chapters ~2.5 hr

The AI Recruiting Desk

Run your recruiting week with AI, from intake call to offer letter, with the EU AI Act rules turned into checklists you can actually follow.

7 chapters ~2.2 hr

Business Analysis at AI Speed

Every deliverable in your BA week (requirements drafts, user stories, process maps, the BRD, UAT scripts, status packs) produced in half the time, with AI doing the first draft and you doing the judgment.

7 chapters ~2 hr

Document Review on Repeat

For the recurring review: vendor contracts, RFP bids, supplier questionnaires at 50-200 documents a cycle. A saved AI workspace, a field guide anyone can run, and an audit trail that survives scrutiny.

7 chapters ~1.8 hr

Turn Documents into Data

The one skill hiding under half your weekly grunt work: turning any pile of documents into a clean, checked spreadsheet, and then into a report someone can act on, using the AI chat tools you already have.

7 chapters ~1.6 hr

Excel with ChatGPT for Finance

The AI your team already has, working on spreadsheets two ways: drop a file into the chat and get back a clean, analyzed workbook, or open the official ChatGPT sidebar inside Excel to build and fix models in place.

Excel with Claude Code for Finance

The assistant that opens the whole folder, not just one sheet: type plain English and Claude Code reads, reconciles, and rebuilds dozens of workbooks for you. No coding background required.

7 chapters ~2.3 hr

Excel with Copilot for Finance

Copilot where finance lives: inside the workbook. Clean ERP exports, audit formulas, and build the monthly variance pack in half the time, knowing exactly which numbers to double-check.

7 chapters ~2.2 hr

The Automated HR Back Office

Stop answering the same 20 questions: an assistant that answers from your own handbook, onboarding that runs itself, and letters generated in minutes.

People Analytics with Excel + AI

The HRIS-export problem, solved: headcount, attrition, and comp cycles in Excel with Copilot and Claude, the monthly people pack in an afternoon.

6 chapters ~1.8 hr

Proposals, RFPs & Deal Documents with AI

The 200-question RFP, the security questionnaire, the SOW — turned from all-nighters into assembly lines, drawing on an answer library that compounds.

6 chapters ~1.6 hr

Prototype-First Product Management

Stop shipping documents, start shipping demos: PMs who build working prototypes change every conversation, with eng, with execs, and with customers.

7 chapters ~1.7 hr

From Question to Deck

The full analyst loop: vague question in, defensible deck out, with AI cutting the time at every step and a reusable template at the end of every chapter.

Research at AI Speed

Turn open-ended research asks into a sourced, reusable fact pack in hours instead of days — deep-research tools, document piles, expert calls, and estimates you can defend.

AI Engineering: Foundations

Build AI systems — foundational techniques, agent frameworks, specialized archetypes, and edge deployment

Agent Engineering

Agent primitives — tool use, memory, skills, MCP, retrieval, and failure recovery

Agent Infrastructure

The runtime substrate — sandboxing, interop protocols, memory backends, and orchestration primitives that production agents depend on

3 chapters

Agent Frameworks

Master the APIs and agent frameworks from OpenAI and Anthropic — from raw API calls to production agent systems

9 chapters

AI Engineering Foundations

Free

Core techniques — context, retrieval, structured outputs, fine-tuning, and multimodal

12 chapters

Data Engineering with AI

The pipeline half of the data world: dbt models, orchestrated DAGs, quality gates, broken-pipeline debugging, and warehouse cost, with agents in every loop.

Fine-Tuning & Distilling Open Models

From we should fine-tune to a governed loop: LoRA on open weights, distillation from frontier models, and the evals that prove it worked.

Run an LLM on Your Own Machine

FoundationsEngineer

Run a capable LLM on the computer you already own — pick a tool, fit a model to your hardware, serve it to real projects, and upgrade smartly when you outgrow it.

MCP Server Engineering

MCP servers are the new internal API. Build, secure, test, version, and operate one, practiced against a mock company API and mapped to your org.

8 chapters ~2.7 hr

On-Device & Edge AI

Ship AI where the user is — Apple Foundation Models, Gemini Nano, MLX, distillation, and edge deployment patterns

Specialized Agents

Production-ready agent archetypes — deep research, browser and computer use, voice, and scheduled autonomous ops

AI Engineering: Reliability & Trust

Ship, validate, and govern AI systems — production ops, code + E2E testing, evals, red-teaming, and compliance

LLM Evaluation

Evaluation as a discipline — from your first eval to LLM-as-judge rigor, eval suites at scale, and CI gating for production AI

Adversarial AI

Defend and red-team your AI — prompt-injection foundations, defense-in-depth, attack taxonomy, automated jailbreak tooling, and context poisoning for production systems

AI Governance & Compliance

A leader's tour of the rules, evidence, and response that make an AI compliance program regulators actually accept.

Code Testing for Agentic Dev

Static analysis, coverage, mutation, AI-driven test generation, pre-commit hooks, and property-based testing — the feedback loops that keep Claude Code and Codex honest

E2E & Multimodal AI Testing

Test what users experience — Playwright, agentic browser QA, LLM-powered visual and audio testing, and test infrastructure at scale

On-Call with AI

Fight ordinary production outages with AI agents: wire one into your telemetry, triage, debug live, verify the root cause, and decide exactly what it may touch in prod. All hands-on work runs on a provided lab.

8 chapters ~2.5 hr

Production AI

Ship and operate — testing, security, cost, streaming, system design, and UX

11 chapters

AI for Business Professionals

Orient to the AI space and master the tools — literacy, vocabulary, daily workflows with Copilot, ChatGPT, and Claude, and building digital products with AI as your team

What Are AI Agents?

A non-technical introduction to AI agents — what they are, how they work, where you already use them, when they fail, and how to work alongside them effectively.

AI Coding for Beginners

The bridge from knowledge-worker AI use to building real things with AI — custom assistants, automations, vibe-coding, and the failure modes you'll meet, no developer experience required

AI Digital Product Building

Build digital products with AI as your team — restructure development around AI, ship features in hours, run agentic pipelines, and operate at startup-scale output as a one-person product empire.

AI Foundations

Orient, understand, and use AI — vocabulary, mechanism, judgment, daily-practice habits, and prompt persistence that make AI useful in real work, regardless of your role

ChatGPT for Work

ChatGPT Business and Enterprise done properly: projects, connectors, Deep Research, custom GPTs, and the admin and governance story your IT team will ask about.

6 chapters ~1.4 hr

Copilot for Business

Master Microsoft Copilot across M365 — from first steps to power-user workflows for non-technical teams

Your Daily AI Toolkit

The daily AI toolkit for knowledge workers — pick your tool stack, run document and deck workflows, master email and meeting comms, conduct cited research, and route every job to the surface where it actually belongs

Free

Why AI, Why Now, Why You

For workers who hear 'AI' daily and aren't sure why — your soft skills are the moat and you don't have to wait for technical specialists anymore

AI Coding Agents

Master the AI coding agents that are reshaping development — Claude Code, OpenAI Codex, Google Gemini CLI, Cursor, and the workflow craft that makes them effective

Google Antigravity

Master Google's agentic dev platform — the Antigravity desktop app, the agy CLI and SDK, migration from Gemini CLI, and the enterprise + cost tradeoffs

6 chapters ~1.7 hr

Build & Ship with Claude Code (No Coding Needed)

Go from non-coder to a real web app running live on your own server and domain — by talking to Claude Code

Free

Claude Code

From first steps to power-user — master Claude Code inside and out

Claude Code: Agents Orchestration

Multiply yourself across many Claude Code agents — subagents, worktrees, background sessions, agent teams, and dynamic workflows, and the judgment to pick the right one for the work in front of you

Designing with Claude Design

Design real, on-brand product UI by talking to Claude — import your design system, skip Figma, and ship it for real with Claude Code.

OpenAI Codex

Master OpenAI's coding agent — CLI, desktop app, IDE extension, and cloud tasks

Coding Agent Craft

The cross-vendor patterns and craft that make any coding agent — Claude Code, Codex, Gemini — produce reliable, mergeable output

10 chapters

A 2026 survey of every major AI coding agent — Claude Code, OpenAI Codex, Gemini CLI, GitHub Copilot, Cursor — with side-by-side comparison and decision frame for picking your stack.

Coding Agents Landscape

FoundationsEngineer

Cursor

Cursor IDE mastery — AI-native code editing, multi-file context, agent mode, and integration with your development workflow.

Gemini CLI

Master Google's terminal AI coding agent — 1M-token context, subagents, extensions, and the Jules async bridge

GitHub Copilot

Master GitHub Copilot end-to-end — chat, inline, edits, Workspace, PR review, custom instructions, extensions, memory, and enterprise governance

Legacy Code with AI: Understand, Modernize, Migrate

Most enterprise engineering is brownfield. Agents finally made it tractable: comprehension, safety nets, strangler slices, and migrations, practiced on a provided legacy codebase, applied to yours.

8 chapters ~2.7 hr

Claude Cowork Foundations

Claude Cowork Mastery

Master Claude Cowork end-to-end — from your first delegated task to vertical workflows in finance, sales, marketing, and legal

Free

Finance Operations with Cowork

Run month-end close, invoice reconciliation, variance analysis, and audit-ready workpapers through Claude Cowork — built around Anthropic's official Finance plugin and the multi-entity workflows controllers actually live in

Legal Practice with Cowork

Automate contract review, NDA triage, and vendor compliance with Anthropic's official Legal plugin — the lead vertical for Cowork, with playbooks that encode your team's standard positions and distribute across counsel

Marketing & Agency with Cowork

Run a marketing team or digital agency on Cowork — brand-tuned content, SEO audits, campaign planning, and client-ready performance dashboards, anchored on Anthropic's official Marketing plugin

Sales Pipeline with Cowork

Replace your weekly pipeline review and your forecast-call gut feelings — run Cowork against Salesforce or HubSpot with Anthropic's official Sales plugin, from call summaries to weighted forecast to Chrome-paired prospecting

Govern Microsoft Copilot at enterprise scale — DLP, sensitivity labels, license management, Microsoft Graph optimization, EU AI Act compliance, and adoption metrics.

Microsoft Copilot Mastery

From M365 daily-use to Copilot Studio agents and enterprise governance. The full Copilot surface for users, builders, and IT.

Copilot for Admins & IT

Advanced

Copilot for Business Analysts

Advanced Copilot workflows for Business Analysts in large enterprises — requirements elicitation, process mapping, stakeholder communication, data exploration, change impact analysis, and enterprise governance.

Copilot Foundations

Non-technical guide to how Microsoft Copilot actually works inside an organization — the license tier you have and what it unlocks, the Microsoft Graph and Semantic Index that ground its answers, and the sensitivity labels that decide what it can see and say

Copilot in Your M365 Apps

Free

Copilot Studio

Build custom Copilot agents with Microsoft Copilot Studio — knowledge sources, connectors, actions, governance, and the publishing lifecycle.

Power Platform AI

Microsoft Power Platform AI: Power Automate AI Builder, Power Apps Copilot, Power BI Copilot, Dataverse for AI agents, governance.

Creative Foundations with AI

Creative AI

Creative production with AI end-to-end — foundations and the 2026 creative stack, image generation for production, video and motion pipelines, and running a multi-platform creative studio.

The creative workflow with AI — building a personal creative library, briefs and moodboards, the 2026 creative stack, and the rights/provenance layer (C2PA).

Creative Pipelines, Assets & Decks

Run a creative studio pipeline end-to-end — asset systems, multi-platform content engines, slide decks beyond template fills, QA/brand safety/approval loops, and storytelling at scale.

Images with AI

Image generation for production — product imagery and mockups, marketing visuals, illustration in brand style, photo editing, and going from one image to an asset set.

Video & Motion with AI

Video generation pipelines — the 2026 video landscape, short-form social, product demos, storyboards and pre-viz, voice/music/sound design, captions and localization.

Build Like a Product Engineer

The Engineering Reset

Code is automated and the engineering job moved — the shared playbook for the engineers living it, the leaders rebuilding the org around it, and the people teams making it permanent

The practicum — carry one real problem from customer evidence to a shipped, measured outcome with agents doing the typing: business literacy, customer discovery, specs agents can build, orchestration and verification, keeping your edge, and proving impact in business terms

8 chapters ~2.2 hr

Code Was the Easy Part

Code is automated and the engineering job moved — walk the chain of why, the history that proves it ends the same way, the collapsing designer→PM→developer pipeline, and the eight durable skills that survive, each with a practice you can start this week

6 chapters ~1.4 hr

From Developer to Product Engineer

The identity move from developer to builder — audit your own week, reprice your technical depth honestly, absorb the product-management craft that now lands on you, train taste and judgment deliberately, and leave with a 90-day plan built on your two weakest durable skills

8 chapters ~2.2 hr

Your Engineers Are Changing Jobs

The people-side playbook for the engineering reset — read the engineering org, rewrite roles converging on builder and strategist, map and verify the eight durable skills, rebuild performance and pay when output is automated, fix the junior pipeline, and co-own a 90-day plan with your CTO

8 chapters ~2.3 hr

Rebuild Your Engineering Org

The five decisions only an engineering leader can make once agents write the code — operating model, the collapsing pipeline, hiring and promotion against durable skills, expectation-setting, sandbox-first tooling, and verify-then-promote — each chapter ending in an artifact you keep

8 chapters ~2.2 hr

ML Engineering

Build models from scratch — classical machine learning with sklearn, then deep learning with PyTorch and TensorFlow. The model-building track, complement to the agent-systems work in AI Engineering.

Deep Learning

Deep learning in production — DL frameworks (PyTorch + TensorFlow), training techniques, vision tasks and CNNs, building from scratch vs transfer learning, and modern architectures.

Machine Learning

Classical machine learning fundamentals — algorithm selection, data preprocessing, exploratory analysis, feature engineering, model selection, and the sklearn algorithm families.

Open-Source AI

The open-weight world end to end — the model landscape, the enterprise adoption playbook, Kimi and GLM complete guides, coding on open backends, and serving open models in production

Coding on Open Models

Run the agent harness you already know on open backends (GLM, Kimi, DeepSeek, Qwen), measure the gap yourself, and route by task.

6 chapters ~1.5 hr

GLM & Z.ai: The Complete Guide

Everything GLM: the 5.x line, the Coding Plan, the two-line Claude Code switch, ZCode, how it stacks up against Claude and GPT, and what an enterprise should check before betting on it.

Kimi: The Complete Guide