Everyone says “learn AI”. But learn what, exactly, for the job you do today?
A practical, evidence-based workbook for technical and non-technical professionals in India. Map your own tasks, practise on safe files, check every AI output, and turn what you build into evidence an employer can assess.

One headline says your job is at risk. The next says one prompt will make you ten times faster. Neither tells you what to do on Monday morning with your own emails, tickets, spreadsheets or code.
People who start with tools tend to collect courses and prompts. People who start with their own tasks tend to finish with something they can show. So the book starts with your work, not with a tool.
Map your work. Practise safely. Check everything. Prove it with evidence.
Tap any page to see it full size.
No programming needed (the coding sections are optional and clearly marked). A free AI plan is enough for every exercise.
Chapter 21 builds a dated plan sized to your real week: two study sessions, two practice sessions and one review or career session. With two hours a week, you narrow the project and stretch the schedule.
Your work snapshot. List last week's tasks and circle one safe, weekly task to practise on.
One checked workflow. A task map, a permitted setup, and a workflow tested against a quality rubric.
A pilot result and a Role Lab nearly done. An honest measure of whether the workflow is worth using.
Evidence and a decision. A portfolio case, applications or a proposal to your manager, and a decision memo.
Short on time? A 30-day starter version gives you four outputs, about one a week.
AI advice goes out of date fast, and confident nonsense is easy to publish. So this book shows its working.
The people and workplaces in the chapters are fictional composites written for teaching, not real case studies or typical results.
Useful, often impressive, and always checked. The people who do well with AI hold two truths at once: it can make work faster, and it can produce confident nonsense. This book helps you build habits around both.
You don't need to become an engineer. You need a calm, repeatable way to find where AI helps in your work, prove it, and say so clearly.
Illustration (AI-generated; not a real person)
Ady Dean is a product leader with more than fifteen years in software. He began as a Java developer in 2010, spent years in business analysis, and now leads about thirty people across three product and engineering teams.
He leads AI adoption in his organisation: setting standards for how AI tools are used, running hands-on sessions for more than fifty colleagues, and building AI-assisted automations with human approval steps and written test cases. Outside his day job, he designs and ships small software products himself.

You'll get the download link straight after payment, plus a copy by email. If the file doesn't arrive, won't open, or you were charged twice, we'll fix it or refund you in full, as set out in our Refund Policy. Because it's an instant digital download, we don't offer refunds for change of mind.
No. It's a PDF ebook you download straight after payment. It works on phone, tablet and computer, and you can print the worksheets for your own use.
No. The coding sections are optional and clearly marked. Basic email, document and spreadsheet skills are enough.
No. A free plan of one general AI assistant you're permitted to use is enough for every exercise. Chapter 6 helps you choose and set limits.
The book links to a companion folder with the Excel workbook, the Role Lab practice pack and the Resume Kit. No sign-in needed.
The book makes no such promise. It helps you build real skills and evidence you can show, and decide your next move with your eyes open. It's general education, not career counselling.
After payment you'll see a download button immediately, and we email you a copy for safekeeping. Can't find the email? Check Promotions or Spam, or write to adydean@ebookhut.com.
P.S. In twelve weeks you can have one workflow you trust, a portfolio case you can show, and a clear decision about your next move. Or you can save another course for later.
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