Online course planner: actually finish the course you paid for
You signed up, watched three videos, and the course has sat untouched since. Give your todo.is agent the course outline and the time you really have, and it splits the modules into weekly sessions, sets a finish date, plans small projects to practise, and nudges you before each session so you keep going.
The prompt
- Plan how I will finish my online course: [COURSE]. Here is the outline: [COURSE OUTLINE]. I can study [TIME AVAILABLE] and I want to finish by [TARGET DATE]. My goal for this course is [GOAL]. Split the modules into weekly sessions based on video length plus time for exercises, put harder modules where I have more time, and add a review session every 4 weeks and 1 buffer week. After each module, suggest one small practice task that builds toward a final project I can show. Give me an Excel planner with weeks, modules, estimated time, status and a notes column, plus a Word notes template for each module. Add the sessions to my Google Calendar, and message me on [CHANNEL] the morning of each session with what to watch and do.
What to change
- [COURSE]: Course name and platform, e.g. "Google Data Analytics Certificate on Coursera" or "a Udemy React course".
- [COURSE OUTLINE]: Paste the module list with video lengths, attach a screenshot of the syllabus, or give the public course link.
- [TIME AVAILABLE]: E.g. "45 minutes on weekday mornings and 2 hours on Saturday".
- [TARGET DATE]: E.g. "March 31". Say "suggest one" if unsure.
- [GOAL]: E.g. "switch to a junior data analyst job", "build my own website", "pass the certificate".
- [CHANNEL]: WhatsApp, Telegram, Slack or email.
Example result
- Course plan: data analytics certificate, 14 weeks
- Time: 45 min weekday mornings + 2 h Saturday (about 5.75 h a week) · goal: junior data analyst job · finish by March 31
- Weeks 1–3: foundations and spreadsheets
- • Week 1: Module 1, intro to data roles (3 h) · practice: list 10 data questions about something you care about
- • Week 2–3: Module 2, spreadsheets (8 h) · practice: clean a messy public dataset in Excel or Sheets
- Week 4: review
- • Redo Module 2's graded quiz without notes; write a one-paragraph summary of each module
- Weeks 5–8: SQL and data cleaning
- • Week 5–6: Module 3, SQL basics (9 h); Saturday is for the hands-on labs
- • Week 7: Module 4, cleaning data (5 h) · practice: 10 SQL queries on the same dataset
- • Week 8: review + buffer for anything missed
- Weeks 9–12: analysis and visualization
- • Week 9–10: Module 5, analysis (8 h)
- • Week 11–12: Module 6, visualization (8 h) · practice: 3 charts that answer your data questions
- Weeks 13–14: final project
- • Module 7 case study: use your own dataset from week 2
- • Publish a short case study page and add it to your CV and LinkedIn
- Rules that keep you going
- • Miss a session? It moves to Saturday, never stacked on a weekday
- • Never watch videos without doing the exercise in the same session
- • Write 3 bullet notes after each lesson in the module template
- Morning message (example)
- "Tuesday session, 45 min: Module 3, lessons 4–5 (32 min of video) + the SELECT practice lab. You are on week 5 of 14, on track."
How to do it with todo.is
- Copy the prompt and add the course, its outline and the time you really have each week.
- Paste it on the Today screen in todo.is or message your agent on WhatsApp, Telegram or Slack.
- Connect Google so the sessions go into your calendar, then download the Excel planner.
- Tell your agent "finished module 3" or "I'm a week behind" and it updates the plan and messages.
Tips for a better result
- Plan for about 1.5 times the video length; exercises and rewatching take longer than you think.
- Small practice projects after each module turn a certificate into something you can show employers.
- Pick a realistic finish date. A slower plan you follow beats a fast one you drop in week 3.
- Ask your agent to quiz you on last week's module in your Saturday message.
online course planner: FAQ
- Why do most people not finish online courses? Usually because there is no fixed schedule, no deadline and no one checking in. A weekly plan with reminders and small projects fixes most of that.
- How many hours a week should I spend on an online course? Most self-paced courses suggest 3 to 10 hours a week. Check the course's own estimate and plan a little extra for exercises.
- Can the agent read my course if it is behind a login? It can read public course pages. For content behind your login, paste the syllabus or send a screenshot, which it reads.
- Can it plan two courses at once? Yes. List both with your priorities, and it shares your weekly time between them so neither falls behind.
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