Guided training paths organized around practical learner outcomes, business workflows, reusable artifacts, and completion evidence.
Business Owner AI Skills
8 courses
Course summary
This course includes 4 lessons covering: What an AI Assistant Is, Start a Safe Business Chat, Draft, Summarize, and Rewrite, Ask Useful Follow-Up Questions.
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Learn the basic AI assistant habits needed before taking prompt, workflow, marketing, operations, or provider-specific courses.
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4 lessons
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This course includes 4 lessons covering: Creator Tool Categories, Inputs, Prompts, and Source Material, Brand, Rights, and Trust Checks, Export and Hand Off Creative Assets.
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Learn the basic concepts behind AI image, video, voice, avatar, and design tools before taking creator-tool paths.
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4 lessons
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This course includes 6 lessons covering: The Business Prompt Skeleton, Output Contracts and Review Loops, Context, Examples, and Non-Examples, Prompting for Real Business Roles, First Draft, Second Draft, Final Draft, Save Prompts as Business Assets.
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Learn the practical prompt structure business owners can reuse for emails, planning, marketing, research, and operations.
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6 lessons
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This course includes 2 lessons covering: Choose the Right Workflows, Turn a Task Into an SOP Prompt.
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Build a reusable library of prompts, checklists, and standard operating prompts for recurring business work.
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2 lessons
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This course includes 2 lessons covering: Audience and Offer Inputs, Repurpose Without Diluting the Message.
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Build a practical AI-assisted content workflow for offers, emails, social posts, and brand-safe messaging.
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2 lessons
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This course includes 2 lessons covering: From Messy Notes to Business Action, Compare Vendors and Options.
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Use AI to improve internal operations: SOPs, customer replies, meeting notes, vendor comparisons, and daily planning.
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2 lessons
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This course includes 2 lessons covering: Sensitive Data Before AI, Verify Claims Before Acting.
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Learn privacy filtering, fact-checking, claim review, and human handoff rules for business AI use.
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2 lessons
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This course includes 2 lessons covering: Package the Workflow Kit, Present and Improve the Kit.
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Assemble a practical AI workflow kit for one business outcome and submit evidence that it works.
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2 lessons
Free AI Foundations
11 courses
Course summary
This course includes 2 lessons covering: What AI Is Good At, When to Slow Down and Check.
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A plain-language mini course on realistic AI strengths, limits, and safe starter uses.
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2 lessons
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This course includes 2 lessons covering: The Seven-Part Prompt, Improve the First Answer.
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A mini course on turning loose requests into clear AI instructions.
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2 lessons
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This course includes 2 lessons covering: What Not to Paste, Safer Practice Material.
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A mini course on protecting private information while practicing with AI.
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2 lessons
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This course includes 2 lessons covering: Find the Claims, Ask for Assumptions.
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A mini course on checking AI answers before trusting them.
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2 lessons
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This course includes 2 lessons covering: Draft Something Useful, Summarize and Compare.
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A free mini course on three practical AI workflows students can use right away.
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2 lessons
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This course includes 2 lessons covering: Start With the Outcome, Pick the Next Course.
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A mini course that helps students choose a learning path based on what they want to accomplish.
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2 lessons
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This course includes 3 lessons covering: Pick a Safe First Task, Protect Private Information, Check Before You Use It.
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A beginner mini course for deciding when AI is useful, when to slow down, and how to protect people while practicing.
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3 lessons
Course summary
This course includes 2 lessons covering: Command Thinking for Free AI Foundations, Applied Free AI Foundations Command Scenarios.
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A free mini course that helps students choose a learning path based on outcomes instead of provider hype.
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2 lessons
Course summary
This course includes 2 lessons covering: Command Thinking for Free AI Foundations, Applied Free AI Foundations Command Scenarios.
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A free mini course on turning one AI use into a reusable workflow with inputs, steps, outputs, and review.
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2 lessons
Course summary
This course includes 2 lessons covering: Command Thinking for Free AI Foundations, Applied Free AI Foundations Command Scenarios.
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A free mini course on fact checking, source checking, assumptions, and high-risk content review.
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2 lessons
Course summary
This course includes 2 lessons covering: Command Thinking for Free AI Foundations, Applied Free AI Foundations Command Scenarios.
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A free mini course on using AI for small business comparisons, offers, operations, and risk review.
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2 lessons
AI Foundations
10 courses
Course summary
This course includes 4 lessons covering: AI Literacy Is a Work Skill, Find Work Worth Improving, People, Policy, and Practice, Write a Small Adoption Note.
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Build practical AI literacy for workplace decisions, team conversations, course planning, and responsible adoption.
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4 lessons
Course summary
This course includes 8 lessons covering: AI as an Agent, Not Magic, Search, Choices, and Better Paths, Constraints, Rules, and Logic, Planning Before Acting, Learning from Examples, Neural Networks Without the Hype, Uncertainty, Causality, and Better Questions, Knowledge, Responsibility, and the Human Check.
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Learn the core ideas behind AI agents, search, reasoning, planning, learning, uncertainty, knowledge representation, and responsible use in practical human language.
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8 lessons
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This course includes 4 lessons covering: Prompt Anatomy – Give the AI a Real Job, Settings, Repeatability, and Why Answers Change, Examples, Patterns, and Prompt Chaining, Evaluation, Safety, and Prompt Failure.
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Learn how to turn vague AI requests into reliable, reviewable prompt workflows for writing, research, planning, analysis, and business support.
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4 lessons
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This course includes 4 lessons covering: NLP, LLMs, and the Work Language AI Actually Does, The Pipeline Mental Model, Encoder, Decoder, and Sequence-to-Sequence Tasks, Bias, Limits, and Responsible Task Fit.
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Understand what large language models and Transformer-style systems do, where they fit, why they fail, and how to choose tasks responsibly.
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4 lessons
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This course includes 4 lessons covering: The Machine Learning Workflow, Data, Features, Labels, and Training, Evaluation, Overfitting, and Debugging, Tuning, Monitoring, and Deployment Readiness.
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Learn the practical workflow behind machine learning and deep learning: data, training, evaluation, overfitting, tuning, debugging, and responsible deployment.
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4 lessons
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This course includes 4 lessons covering: Start with the Task, Not the Tool, Data Readiness and Workflow Context, Build, Buy, Configure, or Avoid, The AI Use-Case Decision Memo.
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Learn how to choose an AI approach by matching the task, data, risk level, review method, and deployment goal.
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4 lessons
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This course includes 4 lessons covering: Readiness Starts With the Workflow, Data, Documents, and Context, Choosing the Implementation Shape, Operations, Monitoring, and Change.
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Learn how organizations prepare AI workflows by checking data, integration needs, deployment choices, operations, and governance.
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4 lessons
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This course includes 4 lessons covering: Responsible Use Begins Before Output, Bias Is About People and Outcomes, Privacy, Security, and Misuse Checks, Human Impact and Accountability.
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Learn practical responsibility checks for bias, privacy, security, harmful use, human review, jobs, and social impact.
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4 lessons
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This course includes 4 lessons covering: Algorithms Are Procedures With Consequences, Data Is Evidence, Not Truth, Compute, Scale, and Practical Limits, Knowledge, Uncertainty, and Feedback.
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Learn the core building blocks behind AI systems: algorithms, data, compute, representation, uncertainty, and knowledge.
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4 lessons
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This course includes 4 lessons covering: Generative AI as a Production Pipeline, Diffusion in Plain Language, Attention, Conditioning, and Prompt Control, Sampling, Evaluation, and Responsible Creative Use.
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Learn the concepts behind modern generative AI systems, including diffusion, attention, conditioning, sampling, evaluation, and creative workflow risk.
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4 lessons
