AA Essentials study plan
AA Essentials · Give each week a clear focus.
8 weeks · About 6 hours per week
Automation Fundamentals
Define automation and distinguish it from manual and semi-manual workflows in your own words
Classify ten real workplace tasks as rule-based, judgment-based, or hybrid
Map the basic components of an automation (trigger, action, condition, output) onto one familiar process
List three benefits and three risks of automating a repetitive task
Your checkpoint
A one-page glossary plus a table of ten classified tasks with a trigger/action/condition breakdown for one of them
Automation Fundamentals
Compare batch, event-driven, and scheduled automation patterns using concrete examples
Identify where human-in-the-loop checkpoints belong in a workflow
Explain idempotency and why repeated runs can cause duplicate side effects
Sketch a simple decision tree for a multi-branch process
Your checkpoint
A decision-tree diagram for a three-branch process annotated with the automation pattern used at each step
AI Fundamentals
Define core AI terms (model, training data, inference, prompt) without notes
Distinguish classification, extraction, and generation tasks and match each to a workplace use case
Describe what makes a good versus poor input to an AI step
Identify two failure modes (hallucination, bias, drift) and one mitigation for each
Your checkpoint
A two-column use-case sheet matching five tasks to AI task types with a stated risk and mitigation for each
AI Fundamentals
Write and iteratively refine three prompts for a single extraction task
Evaluate AI output against a five-item accuracy checklist you define
Explain why AI steps need validation before triggering downstream actions
Decide when a rule-based approach beats an AI approach for the same task
Your checkpoint
A prompt iteration log showing three prompt versions, their outputs, and your scored evaluation of each
Building Simple Automations
Build a working two-step automation (trigger plus one action) in a no-code tool
Add a conditional branch and test both paths
Introduce one AI step into the automation and validate its output before the next action
Document the build so another person could recreate it
Your checkpoint
A working, tested automation with screenshots of both branch outcomes and a short build README
Building Simple Automations
Add error handling or a fallback path to your automation
Run five test cases including at least two edge cases and log the results
Instrument the automation with basic logging or notifications
Refactor one step to remove a redundant action
Your checkpoint
A test log of five cases with pass/fail results and a changelog entry describing the refactor
Automation in the Enterprise
Identify the stakeholders and approval gates for deploying an automation in an organization
Explain data-handling and access-control considerations for automations touching sensitive data
Draft a rollback and monitoring plan for a deployed automation
Estimate time saved per month for a candidate process and show your assumptions
Your checkpoint
A one-page deployment brief covering stakeholders, data handling, monitoring, rollback, and a time-savings estimate
Automation in the Enterprise & Automation Fundamentals
Assemble a governance checklist for reviewing proposed automations
Revisit Domain 1 fundamentals and correct any earlier misconceptions
Present your end-to-end automation and its business case in a five-minute walkthrough
Build a personal list of weak areas and a follow-up review schedule
Your checkpoint
A governance checklist plus a recorded or written five-minute walkthrough of your automation and business case
Milestones
Week 2: Can explain automation patterns and sketch a branching workflow without notes
Week 4: Can evaluate AI output against a self-defined checklist and justify rule-based versus AI choices
Week 6: Has a working, error-handled automation that passed five logged test cases
Week 8: Can present a complete automation with a deployment brief and governance checklist