A.I. Mindset
Three days to stop reading about AI and start shipping with it

A fast, hands-on weekend that rewires how you think about AI. You build the mental model first, then assemble a personal Gen AI stack around the work you actually repeat every week. By Sunday night you have written prompts that hold up, built two working automations, generated your own images and voice, and shipped a small AI assistant trained on your own documents.
Who this course is for
- Professionals who keep hearing about AI but have never used it beyond a few chat questions
- Managers and founders who need to judge where AI actually helps their team
- Marketers, HR, sales, finance and operations people drowning in repeat work
- Homemakers, students, coaches and trainers who want an honest first step
- Anyone who tried ChatGPT, got mediocre output, and assumed the model was the problem
What you will learn
- Think like an AI native: task decomposition, context design, and knowing when not to use a model
- Write prompts that survive real work using role, context, constraints, examples and evaluation criteria
- Use loop prompting to turn one prompt into a repeatable command you reuse forever
- Build a personal Gen AI stack around your genuine weekly tasks instead of collecting tools
- Wire a model into your own documents so answers come from your data, not the open internet
- Create images, voiceovers and short video clips without a designer or an editor
- Automate two real workflows end to end and measure the hours you get back
- Spot hallucination, bias and privacy risk before it reaches a customer
Products and tools you will use
Curriculum
01The AI native mental model
Day 1, session 1- · How large language models really work, in plain language
- · Where models are brilliant, where they quietly fail, and how to tell the difference
- · Task decomposition: turning a fuzzy goal into steps a model can actually do
- · Context engineering basics: what to feed the model and what to leave out
02Prompt engineering that holds up at work
Day 1, session 2- · The six part prompt skeleton you can reuse for any task
- · Few shot examples, chain of thought and self critique loops
- · Loop commands: naming and saving prompts so your team can reuse them
- · Building your first personal prompt library
03Building your Gen AI tool stack
Day 1, session 3- · Mapping the tasks you repeat weekly and matching a tool to each
- · Research and sourcing with Perplexity and Deep Research
- · Turning documents into a private knowledge base with NotebookLM
- · Choosing between chat, canvas, projects and custom GPTs
04Creative AI: image, voice and video
Day 2, session 4- · Image prompting for brand consistent visuals, not random art
- · Editing and product mockups with image models
- · Voiceover and dubbing with ElevenLabs
- · Slides, one pagers and short videos in minutes
05Automation without code
Day 2, session 5- · Triggers, actions and the anatomy of an automation
- · Connect email, sheets and chat into one flow
- · Add an AI step that summarises, classifies and drafts
- · Error handling and human in the loop checkpoints
06Your first AI assistant and safe use
Day 3- · Build an assistant grounded in your own files and tone of voice
- · Test it, break it, and write guardrails
- · Privacy, confidential data and what never goes into a public model
- · Your 30 day plan: three workflows to automate next
What you will build
- 1.A personal prompt and loop library covering your ten most repeated tasks
- 2.Two live automations that run without you
- 3.A brand consistent image and voiceover set for one real piece of work
- 4.An AI assistant grounded in your own documents
Questions people ask
None. If you can use email and a spreadsheet, you can do everything in this program.
Yes. Every session is recorded and you keep access along with all templates and prompt packs.
No. Every session ends with you shipping something. You leave with working assets, not notes.
Ready to start A.I. Mindset?
₹4,999 · 3 days, roughly 16 live hours · Live online cohort, weekend schedule, recordings included